An Economic Optimal Scheduling Model for a Multi-energy Complementary Power Generation System with Multiple Energy Storage

Abstract

In order to promote the development of low-carbon economy, the proportion of renewable energy in the power system increases, providing clean and cheap power resources for the society. However, the intermittency and volatility of its power output increases the challenge of stable operation of the power grid, and brings about the problem of abandoning wind and light. The existing power system urgently needs additional reserve capacity to realize dynamic supply and demand balance and provide auxiliary services of frequency and voltage modulation. In this paper, electrochemical energy storage, hydrogen energy storage, synthetic natural gas energy storage and other technologies are considered to establish a benefit evaluation model of multi-energy complementary power generation system, and the improved particle swarm optimization algorithm is used to carry out economic optimization scheduling of the system. The results show that the combination of a variety of energy storage technologies with a high proportion of renewable energy generation system can improve the level of system stability and optimize the economic operation of the power system.