面向电力市场多时间尺度场景应用的风储系统调度方法

doi:10.16183/j.cnki.jsjtu.2022.493

摘要/Abstract

摘要：

针对风储系统参与电力市场不同调用时间尺度场景的耦合问题,提出面向电力市场多时间尺度场景应用的风储系统优化调度方法,指导风储系统进行短时风功率波动平抑,并参与电能量市场及备用辅助服务市场,实现不同调用时间尺度场景间协同优化,最大化风储系统经济效益.首先,考虑不同场景盈利机制,以风储系统多场景经济收益最大为目标建立目标函数.然后,建立风储系统参与各应用场景条件约束以及多调用时间尺度耦合约束.最后,算例仿真验证了所提方法可在保证风功率波动不越限的同时,提升风储系统在日前电能量市场及备用辅助服务市场中的综合运行效益.

关键词: 电力市场, 风储系统, 多场景应用, 多调用时间尺度协同优化

Abstract:

Aimed at the coupling problem of the combined wind-storage system participating in different call time scale scenarios in electricity markets, an optimal dispatching method of the combined wind-storage system oriented to the application of multi-time scale scenarios in electricity markets is proposed to guide the combined wind-storage system to suppress short-term wind power fluctuation, and participate in the electric energy market and the reserve ancillary service market, so as to realize the collaborative optimization among different call time scale scenarios application and maximize the economic benefits of the combined wind-storage system. First, considering the profit mechanism of different scenarios, the objective function is established with the objective of maximizing the economic benefits of multiple scenarios of the combined wind-storage system. Then, the constraints of the combined wind-storage system participating in various application scenarios and multi call time scale coupling constraints are established. Finally, the numerical simulation verifies that the proposed method can improve the comprehensive operation profit of the combined wind-storage system in the day-ahead electric energy market and the reserve ancillary service market while ensuring that the wind power fluctuation does not exceed the limit.

Key words: electricity markets, combined wind-storage system, multi-scenario application, multi call time scale collaborative optimization

中图分类号:

TM614
TM912

殷高文, 沈非凡, 黄晟, 魏娟, 屈尹鹏, 王鹏达. 面向电力市场多时间尺度场景应用的风储系统调度方法[J]. 上海交通大学学报, 2024, 58(9): 1410-1419.

YIN Gaowen, SHEN Feifan, HUANG Sheng, WEI Juan, QU Yinpeng, WANG Pengda. Dispatching Method of Combined Wind-Storage System for Multi-Time Scale Scenarios Application in Electricity Markets[J]. Journal of Shanghai Jiao Tong University, 2024, 58(9): 1410-1419.

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预测项目	概率
预测项目	场景1	场景2	场景3	场景4	场景5	场景6	场景7	场景8	场景9	场景10
风电预测出力	0.286	0.346	0.157	0.211
电能量市场预测电价	0.106	0.154	0.226	0.061	0.114	0.060	0.071	0.070	0.070	0.068
备用辅助服务市场预测电价	0.046	0.101	0.235	0.100	0.118	0.089	0.121	0.060	0.053	0.077

算例场景	电能量收益/美元	备用辅助服务收益/美元	总收益/美元
①	267.62	16 056.52	16 324.14
②	2 407.98		2 407.98