Multi-agent Peak Shaving and Valley Filling Strategy Considering the Flexibility of Electric-Thermal System with Optical Storage

doi:10.11930/j.issn.1004-9649.202209016

Abstract

Abstract: This paper proposes a multi-agent peak shaving and valley filling strategy to solve the problem of collaborative participation of an electric-thermal system (ETS) with optical storage in peak shaving and valley filling of power grids and reduce the impact of load prediction errors and volatility of new energy on the regulation effect. The strategy is implemented based on a multi-agent system consisting of a distribution network agent, regional agents, ETS/photovoltaic (PV) agents, and execution units, and it contains centralized energy optimization and distributed energy management links. In the centralized energy optimization process, the distribution network agent can provide an intra-day active power cap scheme for the regional agents and their internal photovoltaic systems by solving a model predictive control (MPC) optimization model with the optimization objective of minimizing its own operating costs. In the distributed energy management process, the regional agents and ETS/PV agents obtain correction values of the active power for the heating equipment based on a multi-agent consistency algorithm so that the deviation between the actual active power of the regional agents and its planned value can be reduced. The simulation results show that the proposed method allows the system to collaborate in peak shaving and valley filling with more accurate results.

Key words: electric-thermal system, peak shaving and valley filling, multi-agent system, energy management

ZENG Shuang, LIANG Anqi, WANG Liyong, LI Xianglong, MA Lin, WANG Zhe, WANG Linyu, LIU Lan, ZHAO Wei. Multi-agent Peak Shaving and Valley Filling Strategy Considering the Flexibility of Electric-Thermal System with Optical Storage[J]. Electric Power, 2023, 56(2): 133-142.

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URL: https://www.electricpower.com.cn/EN/10.11930/j.issn.1004-9649.202209016

https://www.electricpower.com.cn/EN/Y2023/V56/I2/133

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