储能
能量(信号处理)
功率(物理)
适应性
控制理论(社会学)
计算机科学
计算机数据存储
风力发电
数学优化
工程类
电气工程
控制(管理)
数学
物理
操作系统
人工智能
统计
生物
量子力学
生态学
作者
Xiran Wang,Ke Sun,Xuan Yang,Kai Yang,Jiaxi Chen
标识
DOI:10.1093/ijlct/ctad070
摘要
Abstract The energy dispatching and distribution ability is improved by optimizing the configuration of hybrid energy storage capacity of multi-energy system in low-carbon background, and an optimal configuration method of hybrid energy storage capacity of multi-energy system in low-carbon background based on equilibrium control and dynamic optimization algorithm is proposed. The data structure model of hybrid energy storage capacity distribution of multi-energy system is constructed. Under the condition that the energy storage optimal allocation model based on cost analysis meets the system performance index, the energy storage optimal allocation model is established with the objective function of minimizing the cost of configuring energy storage system, and with the objective of minimizing the fluctuation of active power of distributed power sources, such as wind and light. Taking the penalty cost of wind energy storage combined output power exceeding the fluctuation limit as the objective function, low-pass filtering method is adopted to stabilize the fluctuation of new energy power, and the optimal configuration capacity of energy storage system is determined according to the allowable frequency deviation and voltage stability of the system. Balanced control and dynamic optimization algorithm are adopted to realize the optimal configuration of hybrid energy storage capacity of multi-energy system under low-carbon background by combining different wind and solar energy combinations, different sampling intervals and different number of power stations. The simulation results show that the hybrid energy storage capacity allocation of multi-energy system has strong adaptability and high environmental adaptability, which effectively improves the transient stability of power grid system and further promotes the safe and stable operation of power grid system.
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