考虑功率互济的多区域电网储能系统联合优化配置

doi:10.12204/j.issn.1000-7229.2024.02.007

电力建设 ›› 2024, Vol. 45 ›› Issue (2): 79-89.doi: 10.12204/j.issn.1000-7229.2024.02.007

考虑功率互济的多区域电网储能系统联合优化配置

杨贺钧¹(), 王井寅¹(), 马英浩¹(), 张大波¹(), 沈玉明²(), 马静²()

1.新能源利用与节能安徽省重点实验室(合肥工业大学), 合肥市 230009
2.国网安徽省电力有限公司经济技术研究院, 合肥市 230022

收稿日期:2023-04-18 出版日期:2024-02-01 发布日期:2024-01-28
通讯作者: 杨贺钧(1985),男,博士,副教授,硕士生导师,主要研究方向为电力系统规划与可靠性,E-mail:cquyhj@126.com。
作者简介:王井寅(1998),男,硕士研究生,研究方向为电力系统规划,E-mail:w3477443672@163.com;
马英浩(1989),男,博士,讲师,硕士生导师,主要研究方向为电力系统规划与可靠性、综合能源系统优化运行,E-mail:yinghao_ma@126.com;
张大波(1979),男,博士,副教授,硕士生导师,主要研究方向为电力系统风险评估、电网调度运行优化,E-mail:zhangdb2004@163.com;
沈玉明(1988),男,博士,高级工程师,主要研究方向为电力系统规划,E-mail:syming1988@126.com;
马静(1984),男,硕士,正高级工程师,主要研究方向为电网规划设计技术,E-mail:36924154@qq.com。
基金资助:
安徽省自然科学基金项目(2208085UD07)

Joint Planning of Energy Storage Systems for Multi-area Grids Considering Power Interconnection

YANG Hejun¹(), WANG Jingyin¹(), MA Yinghao¹(), ZHANG Dabo¹(), SHEN Yuming²(), MA Jing²()

1. Anhui Province Key Laboratory of Renewable Energy Utilization and Energy Saving(Hefei University of Technology), Hefei 230009,China
2. Economic Research Institute of State Grid Anhui Electric Power Co., Ltd., Hefei 230022, China

Received:2023-04-18 Published:2024-02-01 Online:2024-01-28
Supported by:
Anhui Provincial Natural Science Foundation(2208085UD07)

摘要/Abstract

摘要：

在新能源并网规模逐步提升的背景下,针对广域互联电网的多储能规划问题,建立考虑区域电网互济的储能系统联合规划优化配置模型。首先,建立多区域电力系统的网络等效模型,以刻画多区域互联系统的功率互济关系,并提出多区域系统的机组启停安排方法,计算不同区域的机组日内启停方案。其次,针对互联电网的多区域储能协同规划问题,建立计及功率互济的多区域储能联合双层优化配置模型。模型外层以多区域新能源总弃量最小为目标,优化计算各区域的储能配置;内层以区域间传输功率与区域注入功率的波动量最小为目标,以获得火、储以及新能源的最优出力方案。然后,利用全场景近似网损和联络线综合利用率,实现多区域储能规划方案的效益评估,实现储能投资价值的量化。最后,通过算例分析验证所提模型及方法的有效性。算例分析表明,所提模型可充分兼顾各区域新能源消纳要求,有效提升全网消纳指标,节约储能系统投资,可应用于广域互联电网的储能系统协同规划。

关键词: 储能规划, 运行优化, 互联电网, 新能源消纳

Abstract:

An optimal allocation model for the planning of energy storage systems considering power interconnections is established for multi-storage system planning in multi-area grids to accommodate the gradual increase in the scale of renewable energy. First, an equivalent model of a multi-region power system is proposed to clarify the cooperation of interconnected regions; second, the unit start-stop planning method in a multi-region system is proposed to calculate the intraday start-stop scheme of units subordinated to different regions. Subsequently, a two-layer planning model of energy storage systems for multi-area grids considering power interconnections is proposed to allocate storage systems in interconnected grids. The optimal renewable energy consumption of the entire grid is considered as the outer layer objective to calculate the configuration of the energy storage systems. The inner model is developed to minimize the sum of the fluctuations of the intra-regional transmission power and the injection power in each region for the optimal operation (including thermal units, storage systems, and transmission lines) of multiple regions and scenarios. Subsequently, the approximate network loss value and utilization index of the transmission lines are proposed to quantify the benefits of the energy storage planning scheme. Finally, we verify the effectiveness of the proposed model and method through a case analysis. The results show that the proposed model can fully consider the requirements for renewable energy consumption in each region and effectively improve the consumption index of the entire grid, which can be applied to the collaborative planning of energy storage systems in a wide-area interconnected grid.

Key words: planning of energy storage system, optimal operation, interconnected grids, renewable energy consumption

中图分类号:

TM732

杨贺钧, 王井寅, 马英浩, 张大波, 沈玉明, 马静. 考虑功率互济的多区域电网储能系统联合优化配置[J]. 电力建设, 2024, 45(2): 79-89.

YANG Hejun, WANG Jingyin, MA Yinghao, ZHANG Dabo, SHEN Yuming, MA Jing. Joint Planning of Energy Storage Systems for Multi-area Grids Considering Power Interconnection[J]. ELECTRIC POWER CONSTRUCTION, 2024, 45(2): 79-89.

图/表 14

图1 多区域电力系统网络等效示意图

Fig.1 Schematic of equivalent model of multi-region power system

图2 多区域机组启停流程

Fig.2 The start-stop procedure of units in multi areas

图3 多区域互联系统拓扑结构图

Fig.3 The topology of multi-area interconnection system

表1 各区域负荷峰值与电源装机情况

Table 1 The peak loads and capacity of different power sources in each area MW

表2 测试系统联络线参数

Table 2 The parameters of linking-up roads in the test system

图4 区域1处负荷及新能源典型出力曲线

Fig.4 The typical load curve and renewable energy power in area 1

表3 联合规划与独立规划方法的结果

Table 3 The results of joint planning and independent planning methods

表4 双层模型与单层模型规划结果和消纳率对比

Table 4 The comparison of planning results and consumption rate between the proposed two-layer model and the single-layer model

表5 各联络线利用率及近似网损结果对比

Table 5 Comparison of utilization rate and approximate network loss for each linking-up road

表6 全网联络线利用率及近似网损结果对比

Table 6 Comparison of comprehensive utilization rate and approximate network loss for all linking-up roads

图5 区域5场景1对应的运行情况

Fig.5 The operation results of area 5 in scene 1

图6 区域1场景1对应的运行情况

Fig.6 The operation results of area 1 in scene 1

图7 区域4场景1对应的运行情况

Fig.7 The operation results of area 4 in scene 1

图8 区域7场景1对应的运行情况

Fig.8 The operation results of area 7 in scene 1

参考文献 31

[1]	杨立滨, 曹阳, 魏韡, 等. 计及风电不确定性和弃风率约束的风电场储能容量配置方法[J]. 电力系统自动化, 2020, 44(16): 45-52.
	YANG Libin, CAO Yang, WEI Wei, et al. Configuration method of energy storage for wind farms considering wind power uncertainty and wind curtailment constraint[J]. Automation of Electric Power Systems, 2020, 44(16): 45-52.
[2]	李咸善, 解仕杰, 方子健, 等. 多微电网共享储能的优化配置及其成本分摊[J]. 电力自动化设备, 2021, 41(10): 44-51.
	LI Xianshan, XIE Shijie, FANG Zijian, et al. Optimal configuration of shared energy storage for multi-microgrid and its cost allocation[J]. Electric Power Automation Equipment, 2021, 41(10): 44-51.
[3]	蔡霁霖, 徐青山, 袁晓冬, 等. 基于风电消纳时序场景的电池储能系统配置策略[J]. 高电压技术, 2019, 45(3): 993-1001.
	CAI Jilin, XU Qingshan, YUAN Xiaodong, et al. Configuration strategy of large-scale battery storage system orienting wind power consumption based on temporal scenarios[J]. High Voltage Engineering, 2019, 45(3): 993-1001.
[4]	胡迪, 丁明, 毕锐, 等. 光伏和风电互补性对高渗透率可再生能源集群接入规划影响分析[J]. 中国电机工程学报, 2020, 40(3): 821-836.
	HU Di, DING Ming, BI Rui, et al. Impact analysis of PV and WT complementarity on access planning of high penetrated renewable energy cluster[J]. Proceedings of the CSEE, 2020, 40(3): 821-836.
[5]	吕齐, 李明轩, 魏韡, 等. 基于参数规划的含储能和风电电力系统低碳经济调度[J]. 电力自动化设备, 2023, 43(7): 12-18.
	LÜ Qi, LI Mingxuan, WEI Wei, et al. Low carbon economic dispatch of power system with energy storage and wind power based on parametric programming[J]. Electric Power Automation Equipment, 2023, 43(7): 12-18.
[6]	刘畅, 卓建坤, 赵东明, 等. 利用储能系统实现可再生能源微电网灵活安全运行的研究综述[J]. 中国电机工程学报, 2020, 40(1): 1-18.
	LIU Chang, ZHUO Jiankun, ZHAO Dongming, et al. A review on the utilization of energy storage system for the flexible and safe operation of renewable energy microgrids[J]. Proceedings of the CSEE, 2020, 40(1): 1-18.
[7]	谢鹏, 蔡泽祥, 刘平, 等. 考虑多时间尺度不确定性耦合影响的风光储微电网系统储能容量协同优化[J]. 中国电机工程学报, 2019, 39(24): 7126-7136.
	XIE Peng, CAI Zexiang, LIU Ping, et al. Cooperative optimization of energy storage capacity for renewable and storage involved microgrids considering multi time scale uncertainty coupling influence[J]. Proceedings of the CSEE, 2019, 39(24): 7126-7136.
[8]	檀勤良, 单子婧, 丁毅宏, 等. 考虑蓄电池与电制氢的多能源微网灵活性资源配置双层优化模型[J]. 电力建设, 2023, 44(2): 38-49. doi: 10.12204/j.issn.1000-7229.2023.02.004
	TAN Qinliang, SHAN Zijing, DING Yihong, et al. Bi-level optimal configuration for flexible resources of multi-energy microgrid considering storage battery and P2H[J]. Electric Power Construction, 2023, 44(2): 38-49. doi: 10.12204/j.issn.1000-7229.2023.02.004
[9]	闫群民, 董新洲, 穆佳豪, 等. 基于改进多目标粒子群算法的有源配电网储能优化配置[J]. 电力系统保护与控制, 2022, 50(10): 11-19.
	YAN Qunmin, DONG Xinzhou, MU Jiahao, et al. Optimal configuration of energy storage in an active distribution network based on improved multi-objective particle swarm optimization[J]. Power System Protection and Control, 2022, 50(10): 11-19.
[10]	向东, 陈松, 季益俊, 等. 智能化含风电配电网多目标协同调度模型[J]. 电网与清洁能源, 2022, 38(7): 127-133,140.
	XIANG Dong, CHEN Song, JI Yijun, et al. An intelligent multi-objective collaborative dispatching model for distribution networks containing wind power[J]. Power System and Clean Energy, 2022, 38(7): 127-133,140..
[11]	杨晓雷, 叶琳, 朱鹏程, 等. 基于遗传算法的含光伏配电网电抗器优化配置方法[J]. 浙江电力, 2022, 41(5): 47-53.
	YANG Xiaolei, YE Lin, ZHU Pengcheng, et al. Optimal configuration method of reactorsin distribution network with photovoltaic power based on genetic algorithm[J]. Zhejiang Electric Power, 2022, 41(5): 47-53.
[12]	张鹏. 基于双层规划模型的配电网分布式电源与储能协同优化配置研究[D]. 西安: 西安理工大学, 2020.
	ZHANG Peng. Research on collaborative optimal allocation of distributed generation and energy storage in distribution network based on bilevel programming model[D]. Xi’an: Xi’an University of Technology, 2020.
[13]	江友华, 刘弘毅, 叶尚兴, 等. 考虑电压质量及灵活性的高比例新能源配电网储能-无功优化配置[J]. 电力建设, 2023, 44(9): 68-79. doi: 10.12204/j.issn.1000-7229.2023.09.007
	JIANG Youhua, LIU Hongyi, YE Shangxing, et al. Energy-storage and reactive-power optimization of a high-proportional new energy distribution network considering voltage quality and flexibility[J]. Electric Power Construction, 2023, 44(9): 68-79. doi: 10.12204/j.issn.1000-7229.2023.09.007
[14]	贺鸿杰, 张宁, 杜尔顺, 等. 电网侧大规模电化学储能运行效率及寿命衰减建模方法综述[J]. 电力系统自动化, 2020, 44(12): 193-207.
	HE Hongjie, ZHANG Ning, DU Ershun, et al. Review on modeling method for operation efficiency and lifespan decay of large-scale electrochemical energy storage on power grid side[J]. Automation of Electric Power Systems, 2020, 44(12): 193-207.
[15]	郑雪媛. 综合考虑规划和运行的电网侧储能优化配置研究[D]. 郑州: 郑州大学, 2019.
	ZHENG Xueyuan. Study on optimal allocation of energy storage at grid side considering planning and operation comprehensively[D]. Zhengzhou: Zhengzhou University, 2019.
[16]	倪晋兵, 张云飞, 施浩波, 等. 基于时序生产模拟的抽水蓄能促进新能源消纳作用量化研究[J]. 电网技术, 2023, 47(7): 2799-2809.
	NI Jinbing, ZHANG Yunfei, SHI Haobo, et al. Pumped storage quantification in promoting new energy consumption based on time series production simulation[J]. Power System Technology, 2023, 47(7): 2799-2809.
[17]	古宸嘉, 王建学, 李清涛, 等. 新能源集中并网下大规模集中式储能规划研究述评[J]. 中国电力, 2022, 55(1): 2-12, 83.
	GU Chenjia, WANG Jianxue, LI Qingtao, et al. Review on large-scale centralized energy storage planning under centralized grid integration of renewable energy[J]. Electric Power, 2022, 55(1): 2-12, 83.
[18]	李相俊, 马会萌, 姜倩. 新能源侧储能配置技术研究综述[J]. 中国电力, 2022, 55(1): 13-25.
	LI Xiangjun, MA Huimeng, JIANG Qian. Review of energy storage configuration technology on renewable energy side[J]. Electric Power, 2022, 55(1): 13-25.
[19]	姜云鹏, 任洲洋, 李秋燕, 等. 考虑多灵活性资源协调调度的配电网新能源消纳策略[J]. 电工技术学报, 2022, 37(7): 1820-1835.
	JIANG Yunpeng, REN Zhouyang, LI Qiuyan, et al. An accommodation strategy for renewable energy in distribution network considering coordinated dispatching of multi-flexible resources[J]. Transactions of China Electrotechnical Society, 2022, 37(7): 1820-1835.
[20]	曲凯, 李湃, 黄越辉, 等. 面向新能源消纳能力评估的年负荷序列建模及场景生成方法[J]. 电力系统自动化, 2021, 45(1): 123-131.
	QU Kai, LI Pai, HUANG Yuehui, et al. Modeling and scenario generation method of annual load series for evaluation of renewable energy accommodation capacity[J]. Automation of Electric Power Systems, 2021, 45(1): 123-131.
[21]	姜海洋, 杜尔顺, 金晨, 等. 高比例清洁能源并网的跨国互联电力系统多时间尺度储能容量优化规划[J]. 中国电机工程学报, 2021, 41(6): 2101-2115.
	JIANG Haiyang, DU Ershun, JIN Chen, et al. Optimal planning of multi-time scale energy storage capacity of cross-national interconnected power system with high proportion of clean energy[J]. Proceedings of the CSEE, 2021, 41(6): 2101-2115.
[22]	曾少豪. 源输配荷侧储能的优化配置与协同调度技术研究[D]. 广州: 广东工业大学, 2022.
	ZENG Shaohao. Research on optimal configuration and collaborative scheduling technology of energy storage on load side of source transmission[D]. Guangzhou: Guangdong University of Technology, 2022.
[23]	罗辑. 提升高渗透率光伏消纳能力的多点规划布局方法研究[D]. 长春: 吉林大学, 2020.
	LUO Ji. Research on multi-point planning and layout method to improve the absorptive capacity of high permeability photovoltaic[D]. Changchun: Jilin University, 2020.
[24]	陈颖, 石永富, 钟鸿鸣, 等. 含高比例风光接入的输电网氢-电混合储能系统配置方法[J]. 电力建设, 2022, 43(11): 85-98. doi: 10.12204/j.issn.1000-7229.2022.11.009
	CHEN Ying, SHI Yongfu, ZHONG Hongming, et al. Configuration method for hydrogen-electricity hybrid energy storage system in transmission grid with high proportion of PV and wind power connection[J]. Electric Power Construction, 2022, 43(11): 85-98. doi: 10.12204/j.issn.1000-7229.2022.11.009
[25]	刘衡. 储能和高比例可再生能源的联合规划与优化调度[D]. 上海: 上海电机学院, 2022.
	LIU Heng. Joint planning and optimal scheduling of energy storage and high proportion renewable energy[D]. Shanghai: Shanghai Dianji University, 2022.
[26]	朱三立. 风电场复合型储能系统控制运行与规划研究[D]. 重庆: 重庆大学, 2019.
	ZHU Sanli. Study on control operation and planning of hybrid energy storage system in wind farm[D]. Chongqing: Chongqing University, 2019.
[27]	孟庆强, 李湘旗, 禹海峰, 等. 考虑源-荷不确定性的储能电站优化规划[J]. 太阳能学报, 2021, 42(10): 415-423.
	MENG Qingqiang, LI Xiangqi, YU Haifeng, et al. Optimal planning of energy storage power station considering source-charge uncertainty[J]. Acta Energiae Solaris Sinica, 2021, 42(10): 415-423.
[28]	朱建昆, 高红均, 贺帅佳, 等. 考虑VSC与光-储-充协同配置的交直流混合配电网规划[J]. 智慧电力, 2023, 51(11): 7-14.
	ZHU Jiankun, GAO Hongjun, HE Shuaijia, et al. AC-DC hybrid distribution network planning considering VSC and photovoltaic-storage-charging coordinated configuration[J]. Smart Power, 2023, 51(11): 7-14.
[29]	闫庆友, 史超凡, 秦光宇, 等. 基于近端策略优化算法的电化学/氢混合储能系统双层配置及运行优化[J]. 电力建设, 2022, 43(8): 22-32. doi: 10.12204/j.issn.1000-7229.2022.08.003
	YAN Qingyou, SHI Chaofan, QIN Guangyu, et al. Research on two-layer configuration and operation optimization based on proximal policy optimization for electrochemical/hydrogen hybrid energy storage system[J]. Electric Power Construction, 2022, 43(8): 22-32. doi: 10.12204/j.issn.1000-7229.2022.08.003
[30]	巴合依塔伊尔江. 提高可再生能源接纳和外送能力的广域储能规划和运行研究[D]. 武汉: 华中科技大学, 2016.
	TAYIERJIANG·Baheyi. Coordinated planning and operation of energy storages across wide area to enhance the regional output capability of the renewable energies[D]. Wuhan: Huazhong University of Science & Technology, 2016.
[31]	田蓓, 王朝晖, 张爽, 等. 面向风光综合消纳的电力系统广域储能容量优化配置研究[J]. 智慧电力, 2020, 48(6): 67-72.
	TIAN Bei, WANG Zhaohui, ZHANG Shuang, et al. Wide-area optimized allocation of energy storage capacity considering wind/photovoltaic power accommodation in power systems[J]. Smart Power, 2020, 48(6): 67-72.

考虑功率互济的多区域电网储能系统联合优化配置

Joint Planning of Energy Storage Systems for Multi-area Grids Considering Power Interconnection

RichHTML

PDF

可视化

摘要/Abstract

引用本文

使用本文

图/表 14

参考文献 31

相关文章 15

编辑推荐

Metrics

本文评价

[1]	章雷其, 谭彩霞, 赵波, 张雪松, 刘敏, 吴启亮, 叶夏明, 谭忠富. 考虑子系统特性的分布式电氢耦合系统多时间尺度优化[J]. 电力建设, 2023, 44(9): 118-128.
[2]	吴琪, 赵宣茗, 张佳诚, 裘智峰. 促进新能源消纳的电-碳市场耦合激励型出清机制[J]. 电力建设, 2023, 44(12): 14-27.
[3]	丁坤, 陈博洋, 秦建茹, 刘永成, 杨昌海, 刘德祺, 孙亚璐, 李海波. 大规模新能源集群接入弱电网的消纳能力评估方法[J]. 电力建设, 2023, 44(11): 86-94.
[4]	邓淑斌, 李嵘, 梁志飞, 凡鹏飞, 贾旭东, 李梓仟. 考虑碳交易和绿证交易的配电网优化运行策略[J]. 电力建设, 2023, 44(10): 149-156.
[5]	张尧翔, 刘文颖, 庞清仑, 李亚楼, 安宁, 李芳. 计及综合需求响应参与消纳受阻新能源的多时间尺度优化调度策略[J]. 电力建设, 2023, 44(1): 1-11.
[6]	郑浩伟, 闫庆友, 尹哲, 党嘉璐, 林宏宇, 谭忠富. 计及日前-实时交易和共享储能的VPP运行优化及双层效益分配[J]. 电力建设, 2022, 43(9): 34-46.
[7]	刘雪飞, 庞凝, 王云佳, 姚伯岩, 魏子强, 温鹏, 高立艾. 农村综合能源系统多层协同优化运行方法[J]. 电力建设, 2022, 43(5): 63-71.
[8]	黄铖, 刘海涛, 马丙泰, 陆恒. 基于纳什谈判的共享储能电站优化运行研究[J]. 电力建设, 2022, 43(2): 1-9.
[9]	严欢, 胡俊杰, 黄旦莉, 张展宇, 岳园园. 考虑电动汽车虚拟电厂灵活性和高比例光伏接入的配电网规划[J]. 电力建设, 2022, 43(11): 14-23.
[10]	牛浩森, 付学谦. 可再生能源为主体的农业能源互联网碳循环建模与优化[J]. 电力建设, 2022, 43(10): 1-15.
[11]	李琰, 吕南君, 刘雪涛, 胡俊杰, 徐衍会. 考虑新能源消纳和网损的分布式光伏集群出力评估方法[J]. 电力建设, 2022, 43(10): 136-146.
[12]	任景, 薛晨, 马晓伟, 崔伟, 孟鑫羽, 杨迎, 王剑晓. 考虑能量存取的自备电厂去中心化交易机制探究[J]. 电力建设, 2021, 42(6): 1-8.
[13]	张亚迪, 孙欣, 谢敬东, 孙波, 何志涛. 考虑电转气和可平移负荷的区域综合能源系统优化运行[J]. 电力建设, 2020, 41(12): 102-111.
[14]	李湘旗，禹海峰，李欣然，章德，蒋星，朱思睿，陈长青. 考虑储能系统动态全寿命周期特性的多功能应用需求规划方法[J]. 电力建设, 2020, 41(1): 45-54.
[15]	杨朋朋，张修平，王明强，杨明，王飞，王士柏. 计及调峰能力的风光储联合系统优化调度[J]. 电力建设, 2019, 40(9): 124-130.