市场环境下配电网分布式光储协同规划

doi:10.11930/j.issn.1004-9649.202106033

中国电力 ›› 2022, Vol. 55 ›› Issue (1): 178-188.DOI: 10.11930/j.issn.1004-9649.202106033

市场环境下配电网分布式光储协同规划

饶萍, 向月, 姚昊天, 刘友波, 刘俊勇

四川大学电气工程学院, 四川成都 610065

收稿日期:2021-06-21 修回日期:2021-09-15 出版日期:2022-01-28 发布日期:2022-01-20
作者简介:饶萍(1997-),女,通信作者,硕士研究生,从事配电网运行与规划研究,E-mail:rp20isss@qq.com;向月(1987-),男,博士,副教授,从事电力系统运行与规划研究,E-mail:xiang@scu.edu.cn
基金资助:
国家自然科学基金资助项目（竞争性售电服务市场基础理论与关键技术，U2066209）；中国电机工程学会青年人才托举项目（基于关联性挖掘的配电网投资规划建模与优化，CSEE-YESS-2018006）。

Collaborative Planning for Distribution Network and PV-ESS in the Marketization Environment

RAO Ping, XIANG Yue, YAO Haotian, LIU Youbo, LIU Junyong

College of Electrical Engineering, Sichuan University, Chengdu 610065, China

Received:2021-06-21 Revised:2021-09-15 Online:2022-01-28 Published:2022-01-20
Supported by:
This work is supported by the National Natural Science Foundation of China (Fundamental Theory and Technology of Competitive Retail Market for Electricity Service, No.U2066209), the Young Elite Scientists Sponsorship Program of Chinese Society of Electrical Engineering (Modeling and Optimization of Distribution Network Investment Planning Based on Correlation Mining, No.CSEE-YESS-2018006)

摘要/Abstract

摘要： 在分布式发电市场化环境下，为均衡配电网与分布式光储协同规划时各主体利益，保障规划后各主体的合理效益，提出一种考虑分布式交易机制和不同储能运行策略经济性的规划运行模型。首先，基于代理交易模式，建立考虑光伏预测误差和代理费用的规划层主体利益耦合模型。具体而言，制定考虑光伏预测误差的代理交易结算规则，建立考虑运营商传输成本、网络损耗和合理收益的代理费用模型。其次，建立以各主体投资规划效益为优化目标的双层规划模型；此外，在运行层基于利益耦合模型和储能运行策略得到典型场景下配电网时序运行结果。采用双层改进粒子群算法对所建模型进行求解。以某实际配网为例进行规划求解和分析，比较不同储能运行策略的经济性，分析利益耦合模型的合理性。仿真结果验证了所提方法对保障各主体效益的有效性。

关键词: 配电网, 分布式光储, 代理交易, 利益耦合, 储能运行策略

Abstract: In the marketization environment of distributed generation, a planning and operation model was proposed given the distributed transaction mechanisms and the economics of energy storage operation strategies for two main purposes. One is to balance the interests of different subjects in the collaborative planning of the distribution network operator (DNO) and the investor of distributed photovoltaic and energy storage system (PV-ESS), and the other is to ensure the benefits of each subject after the planning. Firstly, the benefit coupling model for the subjects in the planning layer was constructed considering photovoltaic prediction errors and agency costs based on the agency transaction mode. Specifically, the settlement rules of agency transactions were formulated on the basis of photovoltaic prediction errors, and the agency cost model was established considering transmission costs of operators, network loss, and reasonable profit. Secondly, a double-layer planning model was established taking the maximization of the investment and planning benefit of the subjects as the optimization goals. In addition, the timing operation results of the distribution network in typical scenes were obtained in the operation layer using the benefit coupling model and energy storage operation strategy. The double-layer improved particle swarm optimization algorithm was applied to run the model. Taking an actual distribution network as an example for the planning solution and analysis, this paper compared the economics of different energy storage operation strategies and analyzed the rationality of the benefit coupling model. The simulation results verify that the proposed method is effective in ensuring the benefits of different subjects.

Key words: distribution network, PV-ESS, agency transaction, benefit coupling, energy storage operation strategies

饶萍, 向月, 姚昊天, 刘友波, 刘俊勇. 市场环境下配电网分布式光储协同规划[J]. 中国电力, 2022, 55(1): 178-188.

RAO Ping, XIANG Yue, YAO Haotian, LIU Youbo, LIU Junyong. Collaborative Planning for Distribution Network and PV-ESS in the Marketization Environment[J]. Electric Power, 2022, 55(1): 178-188.

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市场环境下配电网分布式光储协同规划

Collaborative Planning for Distribution Network and PV-ESS in the Marketization Environment

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市场环境下配电网分布式光储协同规划

Collaborative Planning for Distribution Network and PV-ESS in the Marketization Environment

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