光伏系统
电压
分散系统
控制(管理)
计算机科学
电力电子
降级(电信)
电压调节
工程类
储能
电子工程
控制理论(社会学)
功率(物理)
分布式发电
电压调节器
低压
数码产品
控制系统
电压优化
控制工程
高压
分布式数据存储
可靠性工程
汽车工程
电压降低
电气工程
最优控制
电容器
作者
Rui Wu,Jiajun Zhang,Xiaobo Hu,Haoying Mo,He Zhao,Yajie Tang
摘要
To address the voltage violation problem caused by the integration of distributed photovoltaic (PV) systems into distribution networks, and considering the economic operation and device lifetime of PV inverters and energy storage systems (ESS), this paper proposes a decentralized voltage control method for PV-storage integrated distribution networks, which takes into account device lifetime. First, a lifetime degradation cost model for PV inverters and ESS is established to quantify the lifetime degradation during their operation. Second, a decentralized voltage control framework based on multi-agent deep reinforcement learning is designed, which coordinates the PV inverters and ESS through centralized training and decentralized implementation, thus eliminating the need for centralized communication. Finally, the proposed method is verified through simulation on an improved Institute of Electrical and Electronics Engineers 33-bus distribution network with PV-storage integration. The results show that the proposed control strategy can balance the lifetime degradation of devices at each bus with the overall voltage control economics. It effectively suppresses voltage violations while significantly reducing the voltage control cost in the distribution network. Compared to the baseline algorithm, this method reduces voltage control costs by 39.35%.
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