提升新能源承载能力的电热综合储能容量配置方法

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

摘要

随着新能源的快速发展，新能源波动性和间歇性的不利影响愈发明显，提升新能源承载能力成为当前电力系统中亟待解决的问题。电热综合储能系统作为一种能够实现电力、热力互联互通的多能互补系统，可以有效提升新能源的承载能力。以提升新能源在电力系统中的承载能力为目标，同时考虑投资运行成本的经济性，对设立的电热综合储能系统进行容量优化配置。首先，对电热综合储能系统进行了原理分析与建模。随后，建立了以新能源承载能力最大、总费用最小为目标的容量优化配置模型，该模型涵盖了电热储能投资成本、弃新能源惩罚成本和与外部电网交互功率成本等多个方面。最后，通过对实际案例的仿真分析，验证了所提方法的有效性和可行性。研究结果表明，该方法能够显著提升新能源的承载能力，提高系统的经济性和可靠性。

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.

关键词

承载能力 / 新能源 / 电热综合储能 / 容量配置 / 多目标粒子群算法

Key words

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

Author summay

陈得治( 1974—), 男, 正高级工程师, 博士, 主要从事新能源并网及大电网安全稳定分析研究。E-mail: [e-mail]

基金资助

国网青海省电力公司科技项目(522830230009)