A two-stage reactive power optimization in transmission network incorporating reserves from voltage-dependent loads

被引:10
作者
Jin, Hongyang [1 ]
Li, Zhengshuo [2 ]
Sun, Hongbin [1 ,3 ]
Guo, Qinglai [1 ]
Wang, Bin [1 ]
机构
[1] Tsinghua Univ, Dept Elect Engn, Beijing, Peoples R China
[2] TBSI, Smart Grid & Renewable Energy Lab, Shenzhen, Guangdong, Peoples R China
[3] Tsinghua Univ, Dept Elect Engn, Rm 3-120,West Main Bldg, Beijing 100084, Peoples R China
基金
中国博士后科学基金;
关键词
Voltage dependent load; Reactive power optimization; Two-stage optimization; Fast reserve; CONTROL DEVICES; CONSERVATION; REDUCTION; DISPATCH; SYSTEM; MODEL; FLOW;
D O I
10.1016/j.energy.2018.05.112
中图分类号
O414.1 [热力学];
学科分类号
摘要
With the integration of intermittent resources, more reserves are required for uncertainties. Traditionally, reactive power optimization in transmission network focuses on loss minimization problems, regarding loads as voltage-independent injections. In fact, the bus voltage magnitude affects the load active reactive injection, providing a possibility for system operators to regulate the power of loads through voltage regulation. Inspired by this inherent feature of loads, this paper considers the regulation of voltage-dependent loads (VDLs) for fast reserves through reactive power optimization and voltage control under the coordination of transmission and distribution networks. A two-stage multi-objective optimal power flow model is developed to incorporate reserves from VDLs. The first stage is to optimize the minimization of losses and the maximization of the reserves that the VDL5 can provide, which is modeled as an AC optimal power flow problem. In the second stage, it is verified whether the reserves from the first stage can be delivered by voltage regulation to settle down the possible imbalance power in the power system. Case studies show that the proposed method can estimate the amount of reserves from VDLs and optimize the bus voltages accordingly. (C) 2018 Elsevier Ltd. All rights reserved.
引用
收藏
页码:752 / 763
页数:12
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