面向分布式光伏消纳的需求侧灵活资源与输配协同规划

刘海丞; 王旭阳; 李红军; 郭玥; 聂铭; 常诗扬; 李志远

PDF(1231 KB)

电力建设 ›› 2025

面向分布式光伏消纳的需求侧灵活资源与输配协同规划

刘海丞¹, 王旭阳¹, 李红军¹, 郭玥¹, 聂铭¹, 常诗扬¹, 李志远²

作者信息 +

Multiple Flexible Resources and Transmission and Distribution Collaborative Planning for Distributed PV Consumption

LIU Haicheng¹, WANG Xuyang¹, LI Hongjun¹, GUO Yue¹, NIE Ming¹, CHANG Shiyang¹, LI Zhiyuan²

Author information +

文章历史 +

摘要

【目的】为缓解我国新型电力系统转型中凸显的分布式光伏消纳和电网调峰困难压力,提出了一种灵活资源与输配协同规划方法。【方法】首先,为准确描述输配电网的运行特征,并简化模型的复杂度,对输电网层实现变电站的精细化建模,在配电网层对配电线路及其所带的负荷和分布式光伏的位置采取了等效化处理,同时在配电网层整合需求响应、分布式储能和负荷转供三类灵活资源,确保输电网和配电网之间的协同配合;其次,引入负荷转供约束以及变电站潮流反向限制条件,以满足N-1故障下的保供和消纳需求;最后,针对海量N-1故障待选集造成的计算困难,采用状态评估和割集打包的策略改进传统的C&CG算法,从而实现模型的快速求解。【结果】XJTU-ROTS区域C算例表明,系统新能源消纳率平均提高4.67%,反向潮流风险由5.45%降低至4.86%。【结论】所提方法可以在保障负荷可靠供应的基础上有效提高新能源的消纳率,为电力系统规划提供了新思路。

Abstract

[Objective] To alleviate the pressure of difficulties in the consumption of distributed photovoltaic power and peak shaving of the power grid that have become prominent during the transformation of China's new power system, a flexible resources and transmission and distribution collaborative planning method is proposed. [Methods] Firstly, in order to accurately describe the operational characteristics of the transmission and distribution network and simplify the complexity of the model, the refined modeling of substations is achieved at the transmission network layer. At the distribution network layer, the positions of distribution lines, the loads they carry, and distributed photovoltaic systems are treated equivalentially. Meanwhile, three types of flexible resources, namely demand response, distributed energy storage, and load transfer, are integrated at the distribution network layer. Ensure the coordinated cooperation between the transmission grid and the distribution grid; Secondly, load transfer supply constraints and reverse power flow restriction conditions of substations are introduced to meet the supply guarantee and consumption demands under N-1 faults. Finally, in view of the computational difficulty caused by the massive N-1 fault candidate set, the traditional C&CG algorithm is improved by adopting the strategies of state evaluation and cut set packaging, thereby achieving the rapid solution of the model. [Results] The XJTU-ROTS area C example shows that the system 's new energy consumption rate has increased by an average of 4.67%, and the reverse flow risk has decreased from 5.45% to 4.86%. [Conclusions] The proposed method can effectively increase the consumption rate of new energy on the basis of ensuring the reliable supply of load, providing a new idea for the planning of power systems.

导出引用

刘海丞, 王旭阳, 李红军, 郭玥, 聂铭, 常诗扬, 李志远. 面向分布式光伏消纳的需求侧灵活资源与输配协同规划[J]. 电力建设. 2025

LIU Haicheng, WANG Xuyang, LI Hongjun, GUO Yue, NIE Ming, CHANG Shiyang, LI Zhiyuan. Multiple Flexible Resources and Transmission and Distribution Collaborative Planning for Distributed PV Consumption[J]. Electric Power Construction. 2025

中图分类号： TM715

参考文献

[1] 杜璞良. 基于输配协同的输电网阻塞管理关键技术研究[D]. 南京: 东南大学, 2022.
DU Puliang.Research on key technologies of congestion management in transmission network based on transmission and distribution collaboration[D]. Nan Jing: Southeast University, 2022.
[2] 张力菠,吴一锴,王群伟.考虑碳中和目标与成本优化的可再生能源大规模发展规划[J].广东电力,2023,36(07):31-39.
ZHANG Libo, WU Yikai, Wang Weiqun, et al.Large-scale Development of Renewable Energy in Consideration of Carbon Neutrality and Cost Optimization[J]. Guangdong Electric Power, 2023, 36(07): 31-39.
[3] 江训谱,吕施霖,王健,等.考虑阶梯碳交易和最优建设时序的园区综合能源系统规划[J].电测与仪表,2023,60(12):11-19.
Park-level integrated energy system planning considering tiered carbon trading and optimal construction timing[J].Electrical Measurement & Instrumentation,2023,60(12): 11-19.
[4] 王春义,张晓磊,李昭,等.考虑碳排放和不确定性的分布式资源优化配置方法[J].供用电,2023,40(06):3-9+25.
WANG Chunyi, ZHANG Xiaolei, LI Zhao, et al. Cooperative voltage control method of multiple devices in AC/DC distribution networks based on DQN and DDPG[J]. Distribution & Utilization, 2023, 40(06): 3-9+25.
[5] 王星海,李鑫,王世坤,等.考虑分布式电源接入的配电网多目标优化重构方法研究[J].山东电力技术,2023,50(11):60-67.
WANG Xinghai, LI Xin, Wang Shikun, et al.Research on Multi-objective Optimization and Reconfiguration Method of Distribution Network Considering Distributed Generation Access[J]. Shandong Electric Power, 2023, 50(11): 60-67.
[6] 谢东,刘明波,徐立新.含分布式能源电力系统输配协调优化研究综述及展望[J].南方电网技术, 2023, 17(04): 25-37.
XIE Dong, LIU Mingbo, XU Lixin.Review and Prospect of Transmission-Distribution Co-Optimization of Power Systems with Distributed Energy Resources[J]. Southern Power System Technology, 2023, 17(04): 25-37.
[7] 余佳音,唐坤杰,章杜锡,等.输配网一体化建模与分析方法研究综述[J].浙江电力,2019,38(11):1-9.
YU Jiayin, TANG Kunjie, ZHANG Duxi, et al.Overview of Modeling and Analysis Methods for Integrated Transmission and Distribution Network[J]. Zhejiang Electric Power, 2019, 38(11): 1-9.
[8] 刘盾盾,柳璐,程浩忠,等.基于广义主从分裂理论与配电网相协同的输电网规划方法[J].中国电机工程学报, 2021, 41(17): 5856-5866.
LIU Dundun, LIU Lu, CHENG Haozhong, et al.Transmission Expansion Planning Coordinated With Distribution Networks Based on Generalized Master-slave Splitting Theory[J]. CSEE Journal of Power and Energy Systems, 2021, 41(17): 5856-5866.
[9] 苟凯杰,吕鸣阳,高悦,等.风-光-储和需求响应协同的虚拟电厂日前经济调度优化[J].广东电力,2024,37(02):18-24.
GOU Kaijie, LV Mingyang, GAO Yue, et al.Day-ahead Economic Dispatch Optimization of Virtual Power Plant Based on Wind-photovoltaic-energy Storage and Demand Response Synergy[J]. Guangdong Electric Power, 2024, 37(02): 18-24.
[10] 程江洲,胡敏,刘闯.考虑需求响应和用户满意度的主动配电网优化调度[J].全球能源互联网,2024,7(04):443-453.
CHENG Jiangzhou, HU Min, LIU Chuang.Optimal Dispatching of Active Distribution Network Considering Demand Response and Customer Satisfaction[J]Global Energy Interconnection, 2024, 7(04): 443-453.
[11] 郑倩薇. 计及电力系统灵活性调节的电网规划研究[D].武汉:华中科技大学, 2022.
ZHENG Qianwei.Research on network planning with flexibility regulation of power system[D]. Wu Han: Huazhong University of Science and Technology, 2022.
[12] 朱群波,郝思鹏.基于运行成本的园区综合能源系统优化调度[J].电测与仪表,2024,61(02):34-40.
ZHU Qunbo, HAO Sipeng.Collaborative optimal dispatching of integrated energy system in industrial park[J]. Electrical Measurement & Instrumentation, 2024, 61(02): 34-40.
[13] 丰俊杰,曾平良,李亚楼,等.考虑充放电策略对储能寿命影响的新型分布式储能优化配置研究[J].电测与仪表,2024,61(03):26-32.
FENG Junjie, ZENG Pingliang, LI Yalou, et al.Research on optimal configuration of novel distributed energy storage considering the impact of charging and discharging strategy on energy storage life[J].Electrical Measurement & Instrumentation, 2024, 61(03):26-32.
[14] 徐涛,王樊云.电力需求响应实施现状综述及展望[J].分布式能源,2024,9(03):1-11.
XU Tao, WANG Fanyun.Review and Prospect of Power Demand Response Implementation[J]. Distributed Energy,2024,9(03):1-11.
[15] 黄代雄,汪志军,袁俑斌,等.考虑多源协同的主动配电网故障恢复策略[J].高压电器,2024,60(02):210-215+222.
HUANG Daixiong, WANG Zhijun, YUAN Yongbin, et al. Fault Recovery Strategy Considering Multi-source Collaborative Active[J].High Voltage Apparatus, 2024, 60(02): 210-215+222.
[16] 杨祺铭,李更丰,别朝红,等.计及间歇性新能源的弹性城市电网输配电协同供电恢复方法[J].高电压技术, 2023, 49(07): 2764-2774.
YANG Qiming, LI Gengfeng, BIE Chaohong, et al.Coordinated Power Supply Restoration Method of Resilient Urban Transmission and Distribution Networks Considering Intermittent New Energy[J]. High Voltage Engineering, 2023, 49(07): 2764-2774.
[17] 刘畅,黄杨,杨昕然,等. 计及储能及负荷转供协同调度的城市电网弹性运行策略[J].电力系统保护与控制, 2021, 49(06): 56-66.
LIU Chang, HUANG Yang, YANG Xinran, et al.Flexible operation strategy of an urban transmission network considering energy storage systems and load transfer characteristics[J]. Power System Protection and Control, 2021, 49(06): 56-66.
[18] 张曦,刘友波,吕林,等. 计及高压配电网负荷转供的城市220 kV片区电网供电能力分析[J].电网技术, 2017, 41(05): 1612-1620.
ZHANG Xi, LIU Youbo, LV Lin, et al.Total Supply Capability Analysis of Urban 220 kV Area Power System Considering Load Transfer Capability of HV Distribution Network[J]. Power System Technology, 2017, 41(05): 1612-1620.
[19] 魏震波,孙舟倍,梁政.基于多目标两阶段规划的虚拟电厂优化调度[J].南方电网技术, 2023, 17(04): 109-118.
WEI Zhenbo, SUN Zhoubei, LIANG Zheng.Virtual Power Plant Optimal Dispatching Based on Multi-Objective and Two-Stage Programming[J]. Southern Power System Technology, 2023, 17(04): 109-118.
[20] HAMIDPOUR H, AGHAEI J, PIROUZI S, et al.Flexible, reliable, and renewable power system resource expansion planning considering energy storage systems and demand response programs[J]. IET Renewable Power Generation, 2019, 13(11): 1862-1872.
[21] JIAHAI Y, Yan X, JUNJIE K, et al.Nonlinear integrated resource strategic planning model and case study in China's power sector planning[J]. Energy, 2014, 67: 27-40.
[22] RIBEIRO G, NEVES L, MARTINS A.Multiobjective assessment of distributed energy storage location in electricity networks[J]. International Journal of Sustainable Energy, 2017, 36(6): 577-591.
[23] 林哲,胡泽春,宋永华.考虑N-1准则的配电网与分布式储能联合规划[J].中国电机工程学报, 2021, 41(13): 4390-4403.
LIN Zhe, HU Zechun, SONG Yonghua. Joint Planning of Distribution Network Expansion and Distributed Energy Storage Systems Under N-1 Criterion[J]. CSEE Journal of Power and Energy Systems, 2021, 36(18): 4883-4893+5112.
[24] 赵冬梅,王浩翔,陶然.基于改进交替方向乘子法的输配电网分散协调鲁棒优化调度模型[J].电网技术, 2023, 47(03): 1138-1151.
ZHAO Dongmei, WANG Haoran, TAO Ran.Decentralized Coordination Robust Optimal Scheduling Model for Transmission and Distribution Networks Based on Improved Alternating Direction Method of Multipliers[J]. Power System Technology, 2023, 47(03): 1138-1151.
[25] 李付存,曹文君,于丹文,等. 计及输配电网双向协同的有源配电网多目标分层主动优化[J].南方电网技术, 2024: 1-14.
LI Fucun, CAO Wenjun, YU Danwen, et al.Multi-Objective Hierarchical Active Optimization Method for Active Distribution Networks Considering Bidirectional Coordination of Transmission and Distribution Networks[J]. Southern Power System Technology: 2024: 1-14.
[26] 张玉敏,杨子震,叶平峰,等.市场环境下考虑配网重构和需求响应的输配协同优化调度[J].高电压技术,2024:1-15.
ZHANG Yumin, YANG Zizhen, YE Pingfeng, et al.Collaborative Optimization Scheduling of Transmission and Distribution Considering Distribution Network Reconfiguration and Demand Response in Market Environment[J]. High Voltage Engineering, 2024: 1-15.
[27] PENG L, QIUWEI W, MING Y, et al.Distributed Distributionally Robust Dispatch for Integrated Transmission-Distribution Systems[J]. IEEE Transaction on Power System, 2021, 36(2): 1193-1205.
[28] 李志远,王建学,邓娇娇,等.基于变电站并网方案精细化建模的输电系统规划方法[J].中国电机工程学报, 2024: 1-16.
LI Zhiyuan, WANG Jianxue, Deng Jiaojiao, et al.Transmission System Planning Method Based on Refined Modeling of Substation Grid Connection Scheme[J]. CSEE Journal of Power and Energy Systems, 2024: 1-16.
[29] CHENJIA G, YIKUI L, JIANXUE WANG, et al.Carbon-Oriented Planning of Distributed Generation and Energy Storage Assets in Power Distribution Network With Hydrogen-Based Microgrids[J]. IEEE Transaction on Sustain Energy, 2023, 14(2): 790-802.
[30] QIAN Y, JIANXUE W, JINBING L, et al.Chance-constrained coordinated generation and transmission expansion planning considering demand response and high penetration of renewable energy[J]. International Journal of Electrical Power & Energy Systems, 2023, 155: 1-15.
[31] 李振坤,岳美,胡荣,等. 计及分布式电源与可平移负荷的变电站优化规划[J].中国电机工程学报, 2016, 36(18): 4883-4893+5112.
LI Zhenkun, YUE Mei, HU Rong, et al. Optimal Planning of Substation Considering Distributed Generation and Shiftable Loads[J]. CSEE Journal of Power and Energy Systems, 2016, 36(18): 4883-4893+5112.
[32] 中国城市规划设计研究院.城市电力规划规范: GB/T 50293-2014[S].北京:中国建筑工业出版社, 2014.
[33] QINGTAO L, JIANXUE W, Yao Z, et al.Multi-Period Generation Expansion Planning for Sustainable Power Systems to Maximize the Utilization of Renewable Energy Sources[J]. Sustainability, 2020, 12(3): 1-18.
[34] ZHI Y, WEIQING W, HAIYUN W, et al.Probabilistic decomposition-based security constrained transmission expansion planning incorporating distributed series reactor[J]. IET Generation Transmission & Distribution, 2019, 14: 3478-3487.
[35] PANDŽIĆ K, PANDŽIĆ H, KUZLE I. Coordination of regulated and merchant energy storage investments[J]. IEEE Transactions on Sustainable Energy, 2018, 9(3): 1244-1254.
[36] QINGTAO L, JIANXUE W, JIE C, et al.A hierarchical multi-area capacity planning model considering configuration ratios of renewable energy and energy storage systems with multi-area coordination[J].IET Generation, Transmission & Distribution,2023, 17(16): 3658-3677.
[37] BO Z.Two-Stage Robust Optimization with Decision Dependent Uncertainty[J]. Math OC, 2022: 13-47.
[38] HONG L, BO W, SHAOYUN G, et al.Dynamic Expansion Planning for Substation Considering Variation of Distributed Generator Permeability[J]. Automation of Electric Power Systems, 2017, 41(21): 86-93.
[39] JIANXUE W, JINGDONG W, YUCHAO Z, et al.The reliability and operational test system of a power grid with large-scale renewable integration[J]. CSEE Journal of Power and Energy Systems, 2020, 6(3): 704-711.
[40] 国家电网有限公司. 国网基建部关于印发输变电工程标准参考价(2019年版)的通知[EB/OL].(2019-03-02)[2025-01-06].https://wenku.baidu.com/view/7e142f71f424ccbff121dd36a32d7375a41c6b2.html.
[41] 杨钤,王建学,李旭霞,等.考虑线路负载率指标规划-运行协调一致性的电网规划双层模型[J].电网技术, 2024, 48(05): 1846-1854.
YANG Qian, WANG Jianxue, LI Xuxia, et al.Bi-level Transmission Expansion Planning Model Considering Planning-operation Coordination of Line Load Rate Indices[J]. Power System Technology, 2024, 48(05): 1846-1854.