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基于投资组合理论的虚拟电厂资源优化组合方法
作者:
作者单位:

1.北京交通大学电气工程学院,北京市 100044;2.电力系统及大型发电设备控制和仿真国家重点实验室,清华大学,北京市100084

摘要:

针对虚拟电厂异构资源的优化组合问题,提出了包含需求响应、柔性可控负荷、分布式电源的响应特性模型。以虚拟电厂对互动资源的控制权限为依据,将互动资源响应电量划分为有、无风险资产,将资源响应计划分配问题映射至投资组合理论中资产权重配置问题,以组合风险衡量用户响应电量不确定性,以预期收益最大为目标建立优化组合模型。在此基础上,利用互动资源的分散性,使虚拟电厂向电网提供阻塞管理,并在CIGRE 20 kV中压配电系统上对所提出方法进行验证。算例结果验证了所提模型的实用性。

关键词:

基金项目:

国家重点研发计划资助项目(2018YFE0116400);国家自然科学基金资助项目(51807107)。

通信作者:

作者简介:

云秋晨(1996—),女,硕士研究生,主要研究方向:配电网分析与配电网自动化。E-mail:18121535@bjtu.edu.cn
田立亭(1983—),女,副研究员,高级工程师,主要研究方向:能源互联网规划、配电网规划等。E-mail:tianliting@mail.tsinghua.edu.cn
齐宁(1996—),男,博士研究生,主要研究方向:智能电网大数据分析与应用、广义储能系统运行与规划、虚拟电厂等。E-mail:qn18@mails.tsinghua.edu.cn
张放(1988—),男,通信作者,副教授,主要研究方向:综合能源系统信息融合及优化调控、同步测量及控制、电力系统广域闭环控制、交通能源系统、能量信息化。E-mail:fangzhang@bjtu.edu.cn


Optimization Method of Resource Combination for Virtual Power Plant Based on Modern Portfolio Theory
Author:
Affiliation:

1.School of Electrical Engineering, Beijing Jiaotong University, Beijing 100044, China;2.State Key Laboratory of Power System and Generation Equipment, Tsinghua University, Beijing 100084, China

Abstract:

For the optimal combination of heterogeneous resources of virtual power plants, a response characteristic model including demand response, flexible controllable load, and distributed power generation is proposed. Based on the control authority of the virtual power plant over interactive resources, the interactive resource response power is divided into risk-free and risk assets. Then the resource response allocation problem is mapped to the asset weight allocation problem in the modern portfolio theory. The portfolio risk is used to measure the uncertainty of the user’s response to electricity, and the optimal combination model is established with the goal of maximizing the expected return. Based on the decentralization of interactive resources, the virtual power plant is involved in congestion management, and the proposed method is verified on the CIGRE 20 kV medium-voltage distribution network. Simulation results verify the practicability of the proposed model.

Keywords:

Foundation:
This work is supported by National Key R&D Program of China (No.2018YFE0116400) and National Natural Science Foundation of China (No. 51807107).
引用本文
[1]云秋晨,田立亭,齐宁,等.基于投资组合理论的虚拟电厂资源优化组合方法[J].电力系统自动化,2022,46(1):146-154. DOI:10.7500/AEPS20200828001.
YUN Qiuchen, TIAN Liting, QI Ning, et al. Optimization Method of Resource Combination for Virtual Power Plant Based on Modern Portfolio Theory[J]. Automation of Electric Power Systems, 2022, 46(1):146-154. DOI:10.7500/AEPS20200828001.
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  • 收稿日期:2020-08-28
  • 最后修改日期:2021-03-12
  • 录用日期:
  • 在线发布日期: 2022-01-05
  • 出版日期: