考虑配电变压器动态热点温度的居民负荷分布式协调控制

Distributed coordinated control of residential loads considering dynamic hot⁃spot temperature of distribution transformer

中文关键词: 变压器老化  热点温度  电动汽车  空调负荷  分布式控制

英文关键词: transformer aging  hot⁃spot temperature  electric vehicle  air⁃conditioning load  distributed control

中文摘要:

      电动汽车、空调等负荷的持续增长使得变压器过载和加速老化问题愈发严重。提出一种根据变压器绕组热点温度动态决定最大负载的居民负荷最优协调方法。为了满足负荷的规模性要求，利用对偶原理将原问题分解为各柔性负荷的分布式优化问题。仿真算例考虑了电动汽车和空调等两种柔性负荷，对比了动态阻塞管理、静态阻塞管理、纯自利模式以及自由运行等 4 种方案。结果表明本方法在显著降低用电成本的同时，能有效实施阻塞管理和控制热点温度。

英文摘要:

      The continuous growth of loads such as electric vehicles（EVs）and air conditioners（ACs）has made transformer overload and accelerated aging problems more and more serious.An optimal coordination method for residential loads that dynamically determines the maximum load is proposed based on the hot-spot temperature（HST）of the transformer winding. In order to meet the scale requirements of loads, the duality principle is used to decompose the original problem into a distributed optimization problem of each flexible load. The simulation case considers flexible loads such as EVs and ACs, and compares four schemes：dynamic congestion management, static congestion management, self-interested mode, and free power consumption. Results show that this method can effectively implement congestion management and control the HST while significantly reducing electricity costs.