Electric and thermal comprehensive energy storage capacity allocation method to improve distributed energy carrying capacity

Abstract

With the rapid development of new energy, the volatility and intermittent adverse effects of new energy have become increasingly apparent, and improving the carrying capacity of new energy has become an urgent problem to be solved in the current power system. The electric thermal integrated energy storage system, as a multi energy complementary system that can achieve power and thermal interconnection, can effectively enhance the carrying capacity of new energy. The goal is to enhance the carrying capacity of new energy in the power system, while considering the economic efficiency of investment and operation costs, and to optimize the capacity configuration of the established electric thermal integrated energy storage system. Firstly, the principle analysis and modeling of the electric thermal integrated energy storage system were conducted. Subsequently, a capacity optimization configuration model was established with the goal of maximizing the carrying capacity of new energy and minimizing the total cost. This model covers multiple aspects such as the investment cost of electric thermal energy storage, the penalty cost of abandoning new energy, and the cost of interacting with the external power grid. Finally, the effectiveness and feasibility of the proposed method were verified through simulation analysis of actual cases. The research result indicate that this method can significantly enhance the carrying capacity of new energy, improve the economy and reliability of the system.

Keywords

Carrying capacity / Distributed energy / Electric thermal comprehensive energy storage / Capacity configuration / Multi-objective Particle Swarm Optimization