无功优化在配电网的电压控制, 潮流分布以及整个配电网的稳定中起着至关重要的作用. 目前,
高渗透率新能源的分布式并网以及负荷的多样化给电网的稳定运行带来了巨大的挑战 …

Reactive power optimization plays an important role in voltage control, power flow
distribution and overall stability of the distribution network. At present, the distributed grid …

The construction of advanced metering infrastructure and the rapid development of deep
learning technology make it possible to quickly find the optimal strategy for reactive power …

The traditional reactive power optimization is based on the load of the power grid at a certain
instantaneous moment, while the dynamic reactive power optimization is different. It …

The installed proportion of renewable energy is constantly increasing. Due to the
intermittency and volatility of renewable energy output, its connection to the power grid can …

随着分布式电源和随机负荷电动汽车等的大量接入, 配电网的运行环境日益复杂,
对在线无功优化及其快速性提出了更高的要求. 该文将“深度学习” 引入配电网无功优化 …

This paper presents a reactive power optimization method of distribution network based on
deep reinforcement learning (DRL) and multi-agent system. Firstly, a method of extracting …

The construction of advanced metering infrastructure and the rapid development of deep
learning technology make it possible to quickly find the optimal strategy for reactive power …

High penetration of distributed renewables in the distribution grid has adverse effects on
nodal voltage, network loss, and system stable operation. In order to address these adverse …

摘要配电网无功优化是使电网能安全稳定运行的重要问题, 将深度学习应用于配电网无功优化上
, 提出基于改进的粒子群优化(particle swarm optimization, PSO) 深度置信网络(deep belief …