Overview of Limiting Factors and Prospects for Systematic Evaluation of the External Transmission Capacity of Renewable Energy Base in Desert, Gobi and Barren Areas

LU Ting, ZHANG Jun, HAN Yijie

Electric Power Construction ›› 2026, Vol. 47 ›› Issue (3) : 119-134.

PDF(2734 KB)
PDF(2734 KB)
Electric Power Construction ›› 2026, Vol. 47 ›› Issue (3) : 119-134. DOI: 10.12204/j.issn.1000-7229.2026.03.010
Renewable Energy and Energy Storage

Overview of Limiting Factors and Prospects for Systematic Evaluation of the External Transmission Capacity of Renewable Energy Base in Desert, Gobi and Barren Areas

Author information +
History +

Abstract

[Objective] With the construction of China’s new power system, renewable energy bases in desert, gobi and barren areas are gradually becoming crucial power suppliers. Based on the planned capacity of these bases, the actual power delivered to receiving-end grids is influenced by various external factors, involving different stakeholders across multiple stages. Therefore, for the complex system comprising multi-base sources, multi-channel transmission, and multi-receiving ends, evaluating the transmission capacity of any single base requires a comprehensive consideration of multiple factors. [Methods] This study analyzes the entire process of power transmission from the base power sources to the receiving-end grids via transmission channels. By reviewing existing research in each domain, various factors affecting the base’s power transmission capability are elaborated in detail. [Results] The transmission process can be divided into three stages: the base power source, the transmission channel, and the receiving-end grid. In the power source stage, fluctuations in renewable energy and grid-following and grid-forming technologies affect the active power output. In the transmission stage, control strategies of either conventional direct current transmission technology or flexible direct current transmission technology, along with the strength of both sending-end and receiving-end grids, determine the channel's maximum transmission capacity. In the receiving-end stage, single direct current feed-in, multi-direct current technology combination schemes, and multi-direct current coupling affect the receiving-end grid’s power acceptance capability. A comprehensive assessment of the base’s transmission capacity must integrate the aforementioned factors. [Conclusions] The proposed systematic evaluation method can promote collaborative efforts among stakeholders across different stages. By comprehensively considering the constraints of base capacity planning and transmission-affecting factors, this method provides technical insights and references for accurately assessing the transmission capability of complex systems involving renewable energy bases in desert, gobi and barren areas.

Key words

desert, gobi and barren areas / renewable energy base / ultra high voltage direct current transmission / power receiving capacity of the receiving grid

Cite this article

Download Citations
LU Ting , ZHANG Jun , HAN Yijie. Overview of Limiting Factors and Prospects for Systematic Evaluation of the External Transmission Capacity of Renewable Energy Base in Desert, Gobi and Barren Areas[J]. Electric Power Construction. 2026, 47(3): 119-134 https://doi.org/10.12204/j.issn.1000-7229.2026.03.010

References

[1]
第一批以沙漠、戈壁、荒漠地区为重点的大型风电光伏基地建设项目清单的通知:发改办能源[2021]926号[A]. 北京: 国家发展和改革委员会国家能源局, 2021.
[2]
第二批以沙漠、戈壁、荒漠地区为重点的大型风电光伏基地建设项目清单的通知[A]. 北京: 国家发展和改革委员会国家能源局, 2022.
[3]
第三批以沙漠、戈壁、荒漠地区为重点的大型风电、光伏基地建设项目清单的通知[A]. 北京: 国家发展和改革委员会国家能源局, 2023.
[4]
关于委托开展“十四五”规划输电通道配套水风光及调节电源研究论证的函[A]. 北京: 国家能源局, 2022.
[5]
杨寅平, 王绍德, 孙英云, 等. 计及受端电网可信及调峰需求的大型风光储基地运行及规划方法: (一)中长期运行优化[J]. 高电压技术, 2025, 51(2): 547-557.
YANG Yinping, WANG Shaode, SUN Yingyun, et al. Operation and planning method of large-scale wind/solar/storage bases considering credi-ble capacity and peak regulation of receiving power grids: (1)medium and long-term operation optimization[J]. High Voltage Engineering, 2025, 51(2): 547-557.
[6]
刘斌, 张玉琼, 麻林巍, 等. 西北地区源端基地综合能源系统的技术方案设计及优化研究[J]. 中国电机工程学报, 2021, 41(2): 568-580.
LIU Bin, ZHANG Yuqiong, MA Linwei, et al. Design and optimization of technical schemes of supply-side base integrated energy systems in northwest China[J]. Proceedings of the CSEE, 2021, 41(2): 568-580.
[7]
赵星源, 肖晋宇, 赵丹, 等. 自适应蚁群算法的清洁能源基地选址优化模型[J]. 测绘科学, 2021, 46(4): 172-177.
ZHAO Xingyuan, XIAO Jinyu, ZHAO Dan, et al. Optimal model of clean power plants sitting based on adaptive ant colony algorithm[J]. Science of Surveying and Mapping, 2021, 46(4): 172-177.
[8]
甘磊. 考虑大型新能源发电基地接入的大电网规划方法研究[D]. 北京: 华北电力大学, 2017.
GAN Lei. Research on planning method of bulk power network intergrated with large-scale new energy power bases[D]. Beijing: North China Electric Power University, 2017.
[9]
孙严冬, 李杰, 吉日格图, 等. 风-光-火-储多能互补基地电力外送及消纳方案研究[J]. 内蒙古电力技术, 2023, 41(5): 62-68.
SUN Yandong, LI Jie, JI Rigetu, et al. Research on power transmission and consumption scheme of multi-energy complementary base containing wind, solar, thermal and power storage[J]. Inner Mongolia Electric Power, 2023, 41(5): 62-68.
[10]
李宏斌, 郭怿, 魏立保, 等. 黄河上游风电光伏互补性量化评估及容量配比研究[J]. 电网与清洁能源, 2024, 40(7): 139-145.
LI Hongbin, GUO Yi, WEI Libao, et al. Research on complementarity quantitative evaluation and capacity allocation of wind power and PV in the upper reaches of the Yellow River[J]. Power System and Clean Energy, 2024, 40(7): 139-145.
[11]
陆晶晶, 贺之渊, 赵成勇, 等. 直流输电网规划关键技术与展望[J]. 电力系统自动化, 2019, 43(2): 182-191.
LU Jingjing, HE Zhiyuan, ZHAO Chengyong, et al. Key technologies and prospects for DC power grid planning[J]. Automation of Electric Power Systems, 2019, 43(2): 182-191.
[12]
刘增训, 游沛羽, 周勤勇. 适用高比例新能源系统广域消纳的输电技术研究综述[J]. 电力工程技术, 2020, 39(5): 59-70.
LIU Zengxun, YOU Peiyu, ZHOU Qinyong. Transmission technologies adapting to power systems with widely-consumed high-proportion renewable energy[J]. Jiangsu Electrical Engineering, 2020, 39(5): 59-70.
[13]
周建力. 风-光-氢综合能源系统容量配置优化及决策模型研究[D]. 北京: 华北电力大学, 2022.
ZHOU Jianli. Research on capacity configuration optimization and decision-making model of wind-photovoltaic-hydrogen integrated energy system[D]. Beijing: North China Electric Power University, 2022.
[14]
王秀丽, 武泽辰, 曲翀. 光伏发电系统可靠性分析及其置信容量计算[J]. 中国电机工程学报, 2014, 34(1): 15-21.
WANG Xiuli, WU Zechen, QU Chong. Reliability and capacity value evaluation of photovoltaic generation systems[J]. Proceedings of the CSEE, 2014, 34(1): 15-21.
[15]
丁坤, 孙亚璐, 王湘, 等. 考虑置信容量和调峰能力的新能源基地光热电站配置方法[J]. 广东电力, 2024, 37(3): 25-34.
DING Kun, SUN Yalu, WANG Xiang, et al. Concentrating solar power plant configuration method of renewable energy base with consideration of confidence capacity and peak shaving capcity[J]. Guangdong Electric Power, 2024, 37(3): 25-34.
[16]
魏韡, 范越, 谢睿, 等. 平抑高比例新能源发电功率波动的风-光-储容量最优配比[J]. 电力建设, 2023, 44(3): 138-147.
Abstract
发展新能源是应对环境污染和能源危机的根本性措施,有助于推动“双碳”目标的实现。可再生能源发电固有的间歇性、波动性给电网规划和运行带来严峻挑战。针对高比例新能源电力系统,分析了以最小功率波动为目标的新能源和储能容量最佳配比。立足风光资源的互补性,构建了最小化系统功率波动的风光最优配比模型,并提出了基于线性规划的求解算法。最后建立了面向平滑新能源出力的储能容量配置参数线性规划模型,得到波动性指标关于储能容量的解析表达式,并根据成本确定了最优储能容量。所提方法为政策制定提供了可视化工具以及比单一最优解更加丰富的信息。
WEI Wei, FAN Yue, XIE Rui, et al. Optimal ratio of wind-solar-storage capacity for mitigating the power fluctuations in power system with high penetration of renewable energy power generation[J]. Electric Power Construction, 2023, 44(3): 138-147.

The development of renewable energy is a fundamental measure to resolve environmental pollution and energy crisis, and achieve the carbon peaking and carbon neutrality goals. However, the inherent volatility and fluctuation of renewable energy output bring unprecedented challenges to the planning and operation of the power grid. This paper studies the optimal ratio of renewable energy and energy storage, aiming to minimize power fluctuation. According to the complementary nature of wind and solar resources, the mode of optimal ratio of wind and solar power that leads to minimal power fluctuation is established and is further transformed into linear programming. The optimization problem of energy storage capacity aiming to smooth the renewable energy output is formulated as a multi-parameter linear program, where storage charging power and energy capacities are parameters. The power fluctuation index is expressed as an analytical function in storage parameters, which is convex and piecewise linear. On the basis of the fluctuation index function, the optimal storage capacities can be determined according to the costs. The proposed method provides an illustrative tool and more abundant information for policy and decision-making.

[17]
谭玲玲, 张文龙, 康志豪, 等. 计及惯量响应与一次调频参数优化的新能源基地构网型储能规划[J]. 中国电力, 2025, 58(7): 147-161.
TAN Lingling, ZHANG Wenlong, KANG Zhihao, et al. Grid-forming storage planning for renewable energy bases considering the co-optimization of inertia response and primary frequency regulation parameters[J]. Electric Power, 2025, 58(7): 147-161.
[18]
康健, 王筱. 青海海西柴达木沙漠新能源基地风光容量配比优化研究[J]. 西北水电, 2024(3): 108-113.
KANG Jian, WANG Xiao. Study on the optimal ratio of wind and solar capacity in the new energy base of Qaidam Desert in Haixi prefecture of Qinghai Province[J]. Northwest Hydropower, 2024(3): 108-113.
[19]
黄碧斌, 孟子涵, 冯凯辉, 等. 考虑可再生能源不确定性的风-光-储容量最优配比[J]. 水力发电, 2024, 50(12): 94-99, 111.
HUANG Bibin, MENG Zihan, FENG Kaihui, et al. Optimal ratio of wind-solar-storage capacity considering the uncertainty of renewable energy[J]. Water Power, 2024, 50(12): 94-99, 111.
[20]
姜梦妍, 王筱, 董闯, 等. 基于时序运行模拟的水火风光储互补系统电源优化配置[J]. 水力发电学报, 2024, 43(3): 71-83.
JIANG Mengyan, WANG Xiao, DONG Chuang, et al. Optimal capacity configuration for hydroelectric-thermal-windphotovoltaic-storage multi-energy complementary system based on sequential power generation simulations[J]. Journal of Hydroelectric Engineering, 2024, 43(3): 71-83.
[21]
李思能, 刘志勇, 曾庆彬. 高比例新能源接入的输电网外送通道与储能分布鲁棒优化协同规划方法[J]. 广东电力, 2024, 37(1): 49-59.
LI Sineng, LIU Zhiyong, ZENG Qingbin. Distributionally robust optimization collaborative planning method for transmission network external channel and energy storage with high proportion of renewable energy[J]. Guangdong Electric Power, 2024, 37(1): 49-59.
[22]
李湃, 卢慧, 李驰, 等. 多能互补发电系统电/热储能容量双层优化配置方法[J]. 中国电力, 2025, 58(3): 55-64.
LI Pai, LU Hui, LI Chi, et al. Bi-level capacity optimization for battery/thermal energy storage system in multi-energy complementary power generation system[J]. Electric Power, 2025, 58(3): 55-64.
[23]
程浩忠, 李隽, 吴耀武, 等. 考虑高比例可再生能源的交直流输电网规划挑战与展望[J]. 电力系统自动化, 2017, 41(9): 19-27.
CHENG Haozhong, LI Jun, WU Yaowu, et al. Challenges and prospects for AC/DC transmission expansion planning considering high proportion of renewable energy[J]. Automation of Electric Power Systems, 2017, 41(9): 19-27.
[24]
贺海磊, 张彦涛, 孙骁强, 等. 考虑频率安全约束的西北电网新能源开发及直流外送规模评估方法[J]. 中国电机工程学报, 2021, 41(14): 4753-4762.
HE Hailei, ZHANG Yantao, SUN Xiaoqiang, et al. Evaluation method of renewable energy development scale and DC transmission scale of China northwest power grid by considering frequency security constraints[J]. Proceedings of the CSEE, 2021, 41(14): 4753-4762.
[25]
邹桂林. 计及多重随机因素的区域间可用输电能力评估及优化决策[D]. 广州: 华南理工大学, 2024.
ZOU Guilin. The evaluation and optimization of interregional available transmission capacity considering multiple stochastic factors[D]. Guangzhou: South China University of Technology, 2024.
[26]
罗昊. 面向数字孪生的电-气综合能源系统可用输电能力计算[D]. 吉林: 东北电力大学, 2023.
LUO Hao. Calculation of available transmission capacity of power gas integrated energy system for digital twins[D]. Jilin: Northeast Electric Power University, 2023.
[27]
张昭阳. 计及风光不确定性的区域间可用输电能力概率评估[D]. 重庆: 重庆理工大学, 2023.
ZHANG Zhaoyang. Probabilistic assessment of available transfer capacity between regions considering the uncertainty of wind and solar power[D]. Chongqing: Chongqing University of Technology, 2023.
[28]
陈金富, 孙鑫, 段献忠, 等. 基于机会约束规划的含风电场电力系统可用输电能力计算[J]. 中国电机工程学报, 2019, 39(23): 6804-6814, 7094.
CHEN Jinfu, SUN Xin, DUAN Xianzhong, et al. A chance-constrained approach for available transfer capability evaluation for power systems with wind farm integration[J]. Proceedings of the CSEE, 2019, 39(23): 6804-6814, 7094.
[29]
鲍颜红, 张金龙, 江叶峰, 等. 考虑新能源出力不确定性的可用输电能力在线评估方法[J]. 电力自动化设备, 2020, 40(4): 71-76.
BAO Yanhong, ZHANG Jinlong, JIANG Yefeng, et al. Online assessment method of available transfer capacity considering uncertainties of renewable energy output[J]. Electric Power Automation Equipment, 2020, 40(4): 71-76.
[30]
刘晓颖, 郭春义, 迟永宁. 不同风光水配比下多类型电源打捆直流外送系统的功率传输能力研究[J]. 中国电机工程学报, 2024, 44(13): 5051-5062.
LIU Xiaoying, GUO Chunyi, CHI Yongning. Study on the power transmission capacity of multiple type power bundled HVDC transmission system under different wind-PV-hydro ratio conditions[J]. Proceedings of the CSEE, 2024, 44(13): 5051-5062.
[31]
张艳, 张旭, 张静怡, 等. 考虑风电不确定性的沙戈荒新能源基地交直流混合外送系统最大传输能力评估[J]. 电力建设, 2024, 45(12): 174-186.
ZHANG Yan, ZHANG Xu, ZHANG Jingyi, et al. Evaluation of total transmission capacity of AC-DC hybrid delivery system in desert new energy base considering the uncertainty of wind power[J]. Electric Power Construction, 2024, 45(12): 174-186.
[32]
陈国平, 李明节, 许涛, 等. 关于新能源发展的技术瓶颈研究[J]. 中国电机工程学报, 2017, 37(1): 20-27.
CHEN Guoping, LI Mingjie, XU Tao, et al. Study on technical bottleneck of new energy development[J]. Proceedings of the CSEE, 2017, 37(1): 20-27.
[33]
李明, 常永康, 毛永涛, 等. 高渗透率新能源发电并网变流器跟网/构网型稳定控制技术综述与展望[J]. 高电压技术, 2024, 50(11): 4773-4788.
LI Ming, CHANG Yongkang, MAO Yongtao, et al. Review and prospect of stability control techniques for grid-following/grid-forming converters in high-penetration renewable energy generation[J]. High Voltage Engineering, 2024, 50(11): 4773-4788.
[34]
万易, 王建, 南东亮, 等. 基于变流器并网的新能源外送系统功率传输能力评估[J]. 电网技术, 2024, 48(1): 171-183.
WAN Yi, WANG Jian, NAN Dongliang, et al. Power transfer capacity evaluation of renewable energy delivery system based on grid-connected inverter[J]. Power System Technology, 2024, 48(1): 171-183.
[35]
于彦雪, 胡鹏飞, 陈玉树, 等. 极弱电网下并网逆变器功率传输能力分析及提升方法[J]. 电力系统自动化, 2022, 46(14): 101-108.
YU Yanxue, HU Pengfei, CHEN Yushu, et al. Analysis and improvement method of power transfer capability for grid-connected inverter in ultra-weak grid[J]. Automation of Electric Power Systems, 2022, 46(14): 101-108.
[36]
谢小荣, 贺静波, 毛航银, 等. “双高”电力系统稳定性的新问题及分类探讨[J]. 中国电机工程学报, 2021, 41(2): 461-475.
XIE Xiaorong, HE Jingbo, MAO Hangyin, et al. New issues and classification of power system stability with high shares of renewables and power electronics[J]. Proceedings of the CSEE, 2021, 41(2): 461-475.
[37]
张恒旭, 马睿聪, 曹永吉, 等. 新型电力系统同步稳定研究综述及展望[J]. 山东大学学报(工学版), 2025, 55(2): 1-15.
ZHANG Hengxu, MA Ruicong, CAO Yongji, et al. Review and prospect of research on new power system synchronous stability[J]. Journal of Shandong University (Engineering Science), 2025, 55(2): 1-15.
[38]
许诘翊, 刘威, 刘树, 等. 电力系统变流器构网控制技术的现状与发展趋势[J]. 电网技术, 2022, 46(9): 3586-3594.
XU Jieyi, LIU Wei, LIU Shu, et al. Current state and development trends of power system converter grid-forming control technology[J]. Power System Technology, 2022, 46(9): 3586-3594.
[39]
彭程, 阳岳希, 高冲, 等. 跟网型和构网型变流器动态电压支撑技术综述[J]. 高电压技术, 2025, 51(8): 3810-3825.
PENG Cheng, YANG Yuexi, GAO Chong, et al. Review of dynamic voltage support technology for grid-following and grid-forming converters[J]. High Voltage Engineering, 2025, 51(8): 3810-3825.
[40]
王祺, 张泽轲, 郭杰帅, 等. 新型电力系统主动构网机理与技术路径[J]. 中国电机工程学报, 2024, 44(2): 504-516.
WANG Qi, ZHANG Zeke, GUO Jieshuai, et al. Mechanism and technical path of active grid-forming of new type power system[J]. Proceedings of the CSEE, 2024, 44(2): 504-516.
[41]
周于清, 姚伟, 宗启航, 等. 基于运行短路比的新能源场站中跟构网可切换单元的最优配置方法[J]. 电网技术, 2024, 48(3): 1091-1102.
ZHOU Yuqing, YAO Wei, ZONG Qihang, et al. Optimal configuration of grid-following/grid-forming switchable units in new energy stations based on operating short-circuit ratio[J]. Power System Technology, 2024, 48(3): 1091-1102.
[42]
王冠淇, 裴玮, 熊佳旺, 等. 跟网型和构网型变流器混合系统稳定性分析方法[J]. 中国电机工程学报, 2025, 45(1): 25-37.
WANG Guanqi, PEI Wei, XIONG Jiawang, et al. Stability analysis method for hybrid systems of grid-following and grid-forming inverters[J]. Proceedings of the CSEE, 2025, 45(1): 25-37.
[43]
罗澍忻, 韩应生, 余浩, 等. 构网型控制在提升高比例新能源并网系统振荡稳定性中的应用[J]. 南方电网技术, 2023, 17(5): 39-48.
Abstract
为了研究能够支撑新能源系统稳定运行的构网型与跟网型机组间比例关系,首先以单风场并网系统为例,分析了跟网型和构网型机组的并网动态特性;然后从保持并网风场在低频和次同步频段内振荡稳定性的角度,提出了风场内配置构网型机组容量的计算原则;在此基础上基于三机九节点算例系统,探究了100%新能源构成系统稳定运行的可行性,研究了系统内构网型机组的比例和位置等因素对系统动态特性的影响。研究表明,在风场内配置少量构网型机组即可有效改善弱电网下风场的次同步振荡问题,场内构网型机组的配置容量主要受低频模态稳定性的约束;在100%新能源系统内,构网型控制对远端跟网型机组支撑不足导致的次同步振荡是决定构网型控制需求的关键约束。
LUO Shuxin, HAN Yingsheng, YU Hao, et al. Application of grid-forming control in improving the oscillation stability of power systems with high proportion renewable energy integration[J]. Southern Power System Technology, 2023, 17(5): 39-48.

In order to study the ralationship between grid-forming (GFM) and grid-following (GFL) units that can support the stable operation of renewable systems, this paper firstly takes the single wind farm integrated system as an example to analyze the dynamic characteristics of the GFL and GFM units. Then, from the perspective of maintaining the oscillation stability of wind farms both in low frequency and subsynchronous frequency bands, the calculation principle of the GFM unit capacity to be deployed in wind farms is proposed. On this basis, based on the three-machine-nine-bus system, the feasibility of the stable operation of the 100% renewable system is explored, and the influence of the proportion and location of the GFM units on the dynamics of the system are studied. The results show that the subsynchronous oscillation (SSO) risk can be effectively improved by deploying a small number of GFM units in the wind farm, and the capacity of GFM units is mainly constrained by the low-frequency mode stability. Besides, in the 100% renewable system, the SSO due to inadequate support of GFM to the remote GFL units is the key constraint in determining the need for GFM units.

[44]
刘振亚, 张启平, 董存, 等. 通过特高压直流实现大型能源基地风、光、火电力大规模高效率安全外送研究[J]. 中国电机工程学报, 2014, 34(16): 2513-2522.
LIU Zhenya, ZHANG Qiping, DONG Cun, et al. Efficient and security transmission of wind, photovoltaic and thermal power of large-scale energy resource bases through UHVDC projects[J]. Proceedings of the CSEE, 2014, 34(16): 2513-2522.
[45]
曾嵘, 屈鲁, 余占清, 等. 支撑新能源送出的新型直流换流技术[J]. 高电压技术, 2025, 51(8): 4194-4208.
ZENG Rong, QU Lu, YU Zhanqing, et al. Novel DC converter technology supporting the transmission of renewable energy[J]. High Voltage Engineering, 2025, 51(8): 4194-4208.
[46]
辛保安, 郭铭群, 王绍武, 等. 适应大规模新能源友好送出的直流输电技术与工程实践[J]. 电力系统自动化, 2021, 45(22): 1-8.
XIN Baoan, GUO Mingqun, WANG Shaowu, et al. Friendly HVDC transmission technologies for large-scale renewable energy and their engineering practice[J]. Automation of Electric Power Systems, 2021, 45(22): 1-8.
[47]
冯俊杰, 辛清明, 赵晓斌, 等. 大规模新能源超远距离送出的柔性直流系统集成设计方案[J]. 南方电网技术, 2024, 18(3): 34-44.
Abstract
沙漠、戈壁、荒漠等地区大规模新能源输送负荷中心是实现“碳达峰、碳中和”目标的重要举措。介绍了基于常规直流和柔性直流的大规模新能源超远距离送出方案,从适用场景、过电压、电压与无功功率调节能力、经济性等方面对比了两种方案的优劣,柔性直流送出方案具有较好的技术经济优势。提出了适用于千万千瓦级新能源基地超远距离送出的柔性直流系统集成设计方案,包括±800 kV/10 GW四端柔性直流输电系统的电气主接线、主回路参数、协调控制策略、交直流卸荷装置配置等。研究了双极单阀组和高低阀组方案选择、送端多阀组交流电压协同控制、高低阀组直流电压平衡控制等关键技术,提出了交直流卸荷装置的配置方案及投切策略。基于电磁暂态仿真验证了所提柔性直流设计方案的有效性。
FENG Junjie, XIN Qingming, ZHAO Xiaobin, et al. Integrated design scheme of VSC-HVDC system for large-scale renewable energy ultra-long-distance transmission[J]. Southern Power System Technology, 2024, 18(3): 34-44.

Large-scale renewable energy transmission from desert, Gobi and wilderness to load centers is critical measure to achieve the goals of "Carbon Peak and Carbon Neutrality". Two large-scale renewable energy ultra-long-distance transmission schemes are introduced, including line commutated converter based high voltage direct current (LCC-HVDC) and voltage source convert based high voltage direct current (VSC-HVDC). The two schemes are compared in terms of their applicable scenarios, overvoltage, voltage and reactive power adjustment capabilities, and economy, to highlight their respective advantages and disadvantages. VSC-HVDC is superior in terms of technology and economy. An integrated design scheme of ±800 kV/10 GW four-terminal VSC-HVDC system for 10 gigawatt renewable energy ultra-long-distance transmission is proposed, which includes the electrical main wiring, main circuit parameters, coordinated control strategy, and the configuration of AC/DC choppers. Key technologies such as bipolar single-valve and high-low valve scheme selection, AC voltage coordinated control of multi-valve at the sending end, and DC voltage balance control of high-low valve are studied, and the configuration scheme and switching strategy of the configuration of AC/DC choppers are proposed. The effectiveness of the HVDC transmission system scheme is verified through electromagnetic transient simulation.

[48]
李晖, 盖振宇, 蔡东阳, 等. 计及直流系统影响的交直流受端电网静态电压稳定分析[J]. 南方电网技术, 2021, 15(5): 12-19.
LI Hui, GAI Zhenyu, CAI Dongyang, et al. Static voltage stability analysis of AC/DC receiving-end power grid considering the influence of DC system[J]. Southern Power System Technology, 2021, 15(5): 12-19.
[49]
胡艳梅, 吴俊勇, 李芳, 等. ±800kV哈郑特高压直流控制方式对河南电网电压稳定性影响研究[J]. 电力系统保护与控制, 2013, 41(21): 147-153.
HU Yanmei, WU Junyong, LI Fang, et al. Impacts of DC system control mode for ±800 kV Ha—Zheng UHVDC on voltage stability of Henan Power Grid[J]. Power System Protection and Control, 2013, 41(21): 147-153.
[50]
王思成. 多馈入高压直流输电系统安全评估与优化调度研究[D]. 南京: 东南大学, 2022.
WANG Sicheng. Studies on securityassessment and optimaldispatch strategy of themulti-infeed LCC-HVDC system[D]. Nanjin: Southeast University, 2022.
[51]
沙江波, 赵成勇, 王庆, 等. 同步调相机对特高压直流输电系统最大传输功率的影响[J]. 高电压技术, 2019, 45(11): 3627-3634.
SHA Jiangbo, ZHAO Chengyong, WANG Qing, et al. Impact of synchronous condensers on maximum available power of UHVDC system[J]. High Voltage Engineering, 2019, 45(11): 3627-3634.
[52]
罗钢, 刘崇茹, 李欣蔚, 等. 送受端系统短路比关系对直流输电系统最大输送功率的影响[J]. 现代电力, 2018, 35(4): 45-51.
LUO Gang, LIU Chongru, LI Xinwei, et al. Effect of the ratio of rectifier and inverter SCR on maximum transmission power of HVDC system[J]. Modern Electric Power, 2018, 35(4): 45-51.
[53]
饶宏, 黄伟煌, 郭铸, 等. 提升受端电网稳定性的主动支撑型柔性直流的形态、关键技术与展望[J]. 中国电机工程学报, 2024, 44(17): 6818-6830.
RAO Hong, HUANG Weihuang, GUO Zhu, et al. Grid-supporting VSC-HVDC for enhancing the stability of receiving end power grid: forms, key technologies, and prospects[J]. Proceedings of the CSEE, 2024, 44(17): 6818-6830.
[54]
李周, 王宇涵, 顾伟, 等. 直流电网及其运行控制策略发展趋势[J]. 电力系统自动化, 2024, 48(24): 1-21.
LI Zhou, WANG Yuhan, GU Wei, et al. Development trend of DC power grid and its operation control strategies[J]. Automation of Electric Power Systems, 2024, 48(24): 1-21.
[55]
武兴龙. VSC-HVDC系统的机电暂态建模与电压支撑作用研究[D]. 杭州: 浙江大学, 2023.
WU Xinglong. Research on electromechanical transient modeling and voltage support of VSC-HVDC systems[D]. Hangzhou: Zhejiang University, 2023.
[56]
陈泽伟. 含VSC-HVDC的交直流系统直接法暂态稳定分析[D]. 南京: 南京理工大学, 2023.
CHEN Zewei. Direct stability analysis of power system withvsc-hvdc[D]. Nanjing: Nanjing University of Science & Technology, 2023.
[57]
刘昇, 徐政. 联于弱交流系统的VSC-HVDC稳定运行区域研究[J]. 中国电机工程学报, 2016, 36(1): 133-144.
LIU Sheng, XU Zheng. Study on stable operating region of VSC-HVDC connected to weak AC systems[J]. Proceedings of the CSEE, 2016, 36(1): 133-144.
[58]
贺永杰. 可再生能源经混合级联直流外送系统的控制与小干扰稳定性研究[D]. 武汉: 华中科技大学, 2024.
HE Yongjie. Research on control and small-signal stability ofrenewable energy sources transmitted through hybridcascaded high voltage direct current system[D]. Wuhan: Huazhong University of Science and Technology, 2024.
[59]
马富艺龙, 辛焕海, 刘晨曦, 等. 新能源基地柔性直流送出系统小扰动电压支撑强度评估[J]. 电工技术学报, 2023, 38(21): 5758-5770, 5938.
MA Fuyilong, XIN Huanhai, LIU Chenxi, et al. Small-disturbance system voltage support strength assessment method for renewables VSC-HVDC delivery system[J]. Transactions of China Electrotechnical Society, 2023, 38(21): 5758-5770, 5938.
[60]
王奕鑫, 刘晓颖, 汪莹, 等. 基于广义短路比的LCC/VSC混合多馈入系统小干扰稳定分析[J/OL]. 中国电机工程学报,1-16.[2026-01-04]. https://link.cnki.net/urlid/11.2107.tm.20250625.1642.004.
WANG Yixin, LIU Xiaoying, WANG Ying, et al. Small signal stability analysis of LCC/VSC hybrid multi-infeed HVDC system based on gSCR[J/OL]. Proceedings of the CSEE, 1-16.[2026-01-04]. https://link.cnki.net/urlid/11.2107.tm.20250625.1642.004.
[61]
刘炜. 适用于VSC-HVDC连接极弱受端交流电网的功率阻尼同步控制方法研究[D]. 北京: 华北电力大学, 2016.
LIU Wei. Research on power damping synchronization control for VSC-HVDC connected to an extremely weak AC gird[D]. Beijing: North China Electric Power University, 2016.
[62]
郑超, 马世英, 申旭辉, 等. 强直弱交的定义、内涵与形式及其应对措施[J]. 电网技术, 2017, 41(8): 2491-2498.
ZHENG Chao, MA Shiying, SHEN Xuhui, et al. Definition, connotation and form of strong HVDC and weak AC and countermeasures for stable operation of hybrid power grid[J]. Power System Technology, 2017, 41(8): 2491-2498.
[63]
杨丹, 刘静, 朱军飞, 等. 湖南电网交直流受电能力分析及提升方案[J]. 电气应用, 2019, 38(4): 102-109.
YANG Dan, LIU Jing, ZHU Junfei, et al. Study on improving AC-DC transmission capacity in Hunan power grid[J]. Electrotechnical Application, 2019, 38(4): 102-109.
[64]
王莹. 特高压直流接入交流电网的相关问题研究[D]. 武汉: 华中科技大学, 2016.
WANG Ying. Research on relative issues of UHVDC links on AC power grid[D]. Wuhan: Huazhong University of Science & Technology, 2016.
[65]
赵理威. 用于提高新能源消纳的多馈入直流系统分析[D]. 乌鲁木齐: 新疆大学, 2017.
ZHAO Liwei. To improve the analysis of DC multi-infeedHVDC system for new energy consumption[D]. Urumqi: Xinjiang University, 2017.
[66]
李兆伟, 翟海保, 刘福锁, 等. 华东大受端电网直流接入能力评估[J]. 电力系统自动化, 2016, 40(16): 147-152.
LI Zhaowei, ZHAI Haibao, LIU Fusuo, et al. DC access capability evaluation for East China power grid[J]. Automation of Electric Power Systems, 2016, 40(16): 147-152.
[67]
郭小江, 郭剑波, 马世英, 等. 基于多馈入短路比的多直流落点选择方法[J]. 中国电机工程学报, 2013, 33(10): 36-42.
GUO Xiaojiang, GUO Jianbo, MA Shiying, et al. A method for multi DC terminal location selection based on multi-infeed short circuit ratio[J]. Proceedings of the CSEE, 2013, 33(10): 36-42.
[68]
龙志, 杨柳, 姚文峰. 广东电网远景直流落点优化研究[J]. 电力系统保护与控制, 2016, 44(10): 145-150.
LONG Zhi, YANG Liu, YAO Wenfeng. Guangdong power grid DC placement optimization[J]. Power System Protection and Control, 2016, 44(10): 145-150.
[69]
边宏宇, 徐友平, 邵德军, 等. 直流馈入受端电网“空心化”形势下的稳定特性分析及解决措施[J]. 电力系统保护与控制, 2020, 48(18): 164-170.
BIAN Hongyu, XU Youping, SHAO Dejun, et al. Analysis of stability characteristics and solutions with the hollowing of a DC feed power grid[J]. Power System Protection and Control, 2020, 48(18): 164-170.
[70]
李华取, 彭晓涛, 覃琴, 等. 基于多目标优化的电网直流承载规模评估方法[J]. 电网技术, 2021, 45(8): 3115-3124.
LI Huaqu, PENG Xiaotao, QIN Qin, et al. Assessment of DC load-carrying capacity of power grid based on multiple-objective optimization[J]. Power System Technology, 2021, 45(8): 3115-3124.
[71]
蒲天骄, 赵琦, 王新迎. 电力人工智能技术研究框架、应用现状及展望[J]. 电网技术, 2025, 49(5): 1751-1770.
PU Tianjiao, ZHAO Qi, WANG Xinying. Technology framework, application status and prospects on electric power artificial intelligence[J]. Power System Technology, 2025, 49(5): 1751-1770.
[72]
谢天晗, 郭春义, 张加卿. 跟网-构网混合型风光新能源并网系统的功率稳定传输范围[J/OL]. 中国电力,1-12.[2026-01-05]. https://link.cnki.net/urlid/11.3265.TM.20251013.1614.002.
XIE Tianhan, GUO Chunyi, ZHANG Jiaqing. Stable range of power transmission of grid-forming and grid-following hybrid wt-pvrenewable energy grid-connected system[J/OL]. Electric Power,1-12.[2026-01-05]. https://link.cnki.net/urlid/11.3265.TM.20251013.1614.002.
[73]
陈仕原, 林舜江, 杨悦荣, 等. 新能源基地经柔性直流送出系统的构网型变流器优化配置方法[J/OL]. 高电压技术,1-12.[2026-01-05].https://doi.org/10.13336/j.1003-6520.hve.20250379.
CHEN Shiyuan, LIN Shunjiang, YANG Yuerong, et al. Optimal configuration method of grid forming convertors for large-scale renewablegeneration base transmitted by vsc-hvdc system[J/OL]. High Voltage Engineering,1-12.[2026-01-05].https://doi.org/10.13336/j.1003-6520.hve.20250379.
[74]
杨志强, 王仙荣, 邹凯凯, 等. 海上风电柔直系统中频振荡抑制方法及工程验证[J]. 电力工程技术, 2025, 44(5): 109-116.
YANG Zhiqiang, WANG Xianrong, ZOU Kaikai, et al. Mid-frequency oscillation suppression methodology for offshore wind power VSC-HVDC system and its engineering validation[J]. Electric Power Engineering Technology, 2025, 44(5): 109-116.
[75]
李岩, 辛清明, 杨子千, 等. 大规模新能源经柔性直流孤网送出系统的稳定新问题与控制方法[J]. 高电压技术, 2025, 51(11): 5354-5366.
LI Yan, XIN Qingming, YANG Ziqian, et al. Stability issues and control methods for large-scale renewable energy island transmission systems via VSC-HVDC[J]. High Voltage Engineering, 2025, 51(11): 5354-5366.
[76]
张兆洋, 高丙团, 索之闻, 等. 柔性直流输电系统支撑新能源送端频率稳定的自适应双下垂控制策略[J]. 电力建设, 2025, 46(5): 1-11.
ZHANG Zhaoyang, GAO Bingtuan, SUO Zhiwen, et al. Adaptive dual droop control strategy of VSC-HVDC for supporting frequency stability of sending-end system with renewable energy[J]. Electric Power Construction, 2025, 46(5): 1-11.
[77]
陈玮, 余志军, 刘方, 等. 直流承载能力评估方法与提升策略研究综述[J]. 广东电力, 2025, 38(7): 41-54.
CHEN Wei, YU Zhijun, LIU Fang, et al. Review of DC carrying capacity assessment methods and upgrade strategies[J]. Guangdong Electric Power, 2025, 38(7): 41-54.
[78]
邓步青. 受端电网直流承载能力评估方法与提升策略研究[D]. 长沙: 湖南大学, 2023.
DENG Buqing. Research on the carrying capacity evaluation method and enhancement strategy of HVDC links for receiving-end power grids[D]. Changsha: Hunan University, 2023.

Funding

National Social Science Foundation of China(21&ZD133)
National Energy Group Technology Program.
PDF(2734 KB)

Accesses

Citation

Detail

Sections
Recommended

/