Automation of Electric Power SystemsVol. 40, Issue 13, Pages: 13-18(2016)
作者机构:
河海大学可再生能源发电技术教育部工程研究中心,江苏省,南京市,210098
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基金信息:
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Published:2016
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ZHAO Jinquan. [J]. Automation of electric power systems, 2016, 40(13): 13-18.
DOI:
ZHAO Jinquan. [J]. Automation of electric power systems, 2016, 40(13): 13-18.DOI:
单相光伏大量接入的三相不平衡配电网无功优化
摘要
随着光伏发电等大量非全相运行的分布式电源(DG)接入
配电网固有的三相不平衡特征更加突出
传统无功优化方法因忽略了三相不平衡导致效果较差。文中提出一种三相不平衡主动配电网的无功优化模型
以系统负序电压最小和网络损耗最小为目标
考虑有载调压变压器、分组投切电容器、静止无功补偿装置等离散和连续控制变量
形成一个带有二次约束的混合整数二次规划问题。利用分支定界法处理该混合整数规划问题
将原问题松弛为多个不含离散变量的子问题
分别求得各子问题中设备的控制量
进而求得原问题的最优解。采用扩展的IEEE 33节点三相测试系统仿真计算
验证了所述模型和方法的有效性。
Abstract
The extensive penetration of open-phase running distributed generators(DGs)such as photovoltaic generators to distribution systems may lead to a serious three-phase unbalanced condition
which is an intrinsic characteristic of distribution systems. The effect of the traditional reactive power optimization method is poor without considering the unbalanced problem. A three-phase unbalanced reactive power optimization model for active distribution networks is presented. The model with the objective of minimizing both the negative sequence system voltages and network losses considers continuous and discrete variables e. g. the under-load tap changers
capacitors banks and static var compensator. The reactive power optimization problem is formulated in rectangular coordinates as a mixed-integer quadratic programming with the quadratic constraint problem. It is solved by the branch-and-bound method and the original problem is divided into a lot of sub-problems without discrete variables
which are solved to get the control strategy of devices. The simulation results of the modified IEEE 33-bus three-phase test system show that the proposed model and method are effective. This work is supported by National Natural Science Foundation of China(No. 51577049)
Specialized Research Fund for the Doctoral Program of Higher Education(SRFDP)of China(No. 20120094110008)and State Grid Corporation of China.
Online Reactive Power Optimization Method Based on Data-driven Predictive Control for Distribution Network with Low Situation Awareness
Coordinated Optimal Reactive Power Control of Renewable Energy Base Considering Grid-forming Energy Storage Station
Transmission and Distribution Coordinated Reactive Power Optimization Based on Bidirectional Anderson Acceleration Decomposition Coordination Algorithm
Smooth Switching Based Fault Ride-through Control Strategy for Direct-driven Wind Turbine Under Unbalance Condition
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QIAN Liqun
WEI Qing
HU Pengfei
YANG Zaixin
JI Xingquan
JIANG Haiyang
ZHANG Yumin
YANG Ming
Related Institution
School of Electrical Engineering, Zhejiang University
HuaDian Electric Research Institute Co., Ltd.
Inner Mongolia Power (Group) Co., Ltd., Inner Mongolia Power Research Institute Branch
College of Electrical Engineering and Automation, Shandong University of Science and Technology
Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education (Shandong University)