摘要
无功优化在改善电压质量和降低网损方面扮演着十分重要的角色。建立了基于混合整数二阶锥规划的无功优化模型。首先,考虑光伏和负荷的不确定性,利用拉丁超立方抽样生成光伏和负荷的初始样本,再利用同步回代缩减法进行场景缩减以提高运算效率;其次,运用二阶锥松弛技术,将非凸的潮流方程转变为二阶锥规划模型,再利用大-M法将双线性约束进行线性化处理;最后,将改进的IEEE 33节点配电系统作为测试算例,分析了不同PV接入容量下,负荷模型对配电网无功优化的影响。算例结果验证了该模型的有效性和实用性。
Reactive power optimization plays a very important role in improving vohage quality and reducing active power loss. The paper establishes a mixed integer second order cone programming （MISOCP） based reactive power optimization model. Firstly, in the light of the uncertainty of photovoltaic （PV） generation and load demand, Latin hypereube sampling （LHS） is used to generate the initial samples of the PV generation and load demand, and simultaneous backward reduction （SBR） method is used to reduce the scenarios for improving the computational efficiency. Secondly, second order cone relaxation technique is used to transform non-convex power flow equations into second order cone programming model, and bilinear constraint is linearized with big-M method. Finally, the paper takes improved IEEE 33-node distribution system as a test example, and analyzes the influence of the load model on the reactive power optimization under different the PV generation capacities. The results show that the proposed model is effective and practical.
作者
郑能
丁晓群
郑程拓
管志成
蒋煜
ZHENG Neng, DING Xiaoqun, ZHENG Chengtuo, GUAN Zhicheng, JIANG Yu(College of Energy and Electrical Engineering, Hohai University, Nanjing 211100, Chin)
出处
《智慧电力》
北大核心
2018年第3期31-37,43,共8页
Smart Power
基金
国家电网公司科技项目(5206021400NP)~~
关键词
无功优化
二阶锥规划
拉丁超立方
配电系统
负荷模型
reactive power optimization
second order cone programming
LHS
distribution system
load model
作者简介
郑能（1991），男，四川合江人，硕士研究生，研究方向为电力系统运行与控制。
