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考虑风光的两阶段配电网动态重构方法
引用本文:杨胡萍,李晓馨,曹正东,李向军,熊 宁,徐丕立. 考虑风光的两阶段配电网动态重构方法[J]. 电力系统保护与控制, 2023, 51(21): 12-21
作者姓名:杨胡萍  李晓馨  曹正东  李向军  熊 宁  徐丕立
作者单位:1.南昌大学信息工程学院,江西 南昌 330006;2.国网江西省电力有限公司南昌供电分公司,江西 南昌 330031;3.南昌大学软件学院,江西 南昌 330006;4.国网江西省电力有限公司经济技术研究院,江西 南昌 330096
基金项目:国家自然科学基金项目资助(61862042)
摘    要:由于传统的控制手段已不能抵抗高渗透率分布式电源对电网的冲击,需要对含分布式电源的配电网动态重构问题展开研究。针对传统配网重构中考虑分布式电源不足、过程复杂耗时和实用性较低等问题,提出了基于生物地理学算法的含分布式电源配电网动态重构两阶段优化策略,建立了以全时段网损最小和开关操作总次数最少为目标的多目标优化模型。首先运用整数型环网编码方法以降低变量维数,对配电网进行时段初步划分,运用夹逼策略对优化区间进行“列举”操作,得到初步优化方案。在此基础上,考虑开关操作总次数约束,对其进行时段的二次优化,最终确定动态重构的开关动作时刻及组合。通过算例验证了该动态重构方法能够在保证操作次数较低的同时,达到减少配电网有功损耗、提高节点电压稳定性的目的。

关 键 词:生物地理学算法  整数型环网编码  配电网重构  两阶段优化
收稿时间:2023-02-26
修稿时间:2023-05-04

A two-stage dynamic reconfiguration method for distribution networks considering wind and solar power
YANG Huping,LI Xiaoxin,CAO Zhengdong,LI Xiangjun,XIONG Ning,XU Pili. A two-stage dynamic reconfiguration method for distribution networks considering wind and solar power[J]. Power System Protection and Control, 2023, 51(21): 12-21
Authors:YANG Huping  LI Xiaoxin  CAO Zhengdong  LI Xiangjun  XIONG Ning  XU Pili
Affiliation:1. School of Information Engineering, Nanchang University, Nanchang 330006, China; 2. Nanchang Power Supply Branch, StateGrid Jiangxi Electric Power Co., Ltd., Nanchang 330031, China; 3. School of Software, Nanchang University, Nanchang 330006,China; 4. State Grid Jiangxi Electric Power Co., Ltd. Economic and Technical Research Institute, Nanchang 330096, China
Abstract:Because traditional control methods can no longer cope with the impact of high-permeability distributed generation on the power grid, the dynamic reconfiguration of a distribution network with distributed generation needs to be studied. There are problems of insufficient consideration of distributed generation, a complex and time-consuming process and low practicability in traditional reconfiguration. Therefore a two-stage optimization strategy for dynamic reconfiguration based on biogeography-based optimization is proposed, and a multi-objective optimization model is established to minimize both the power loss during the whole period and the total number of switching operations. First, an integer ring network coding method is used to reduce the dimension of variables, the distribution network is preliminarily divided into time periods, and the optimal interval is "enumerated" using the pinch strategy. All this can obtain a preliminary optimization scheme. The total number of switch operation constraints are considered. Then the secondary optimization of the time period is carried out, and the switch action timing and combination of dynamic reconfiguration are finally determined. An example shows that the dynamic reconfiguration method can reduce the active power loss of the distribution network, and improve the voltage stability of the nodes, while ensuring low operation times.
Keywords:biogeography-based optimization   integer ring network coding   distribution network reconfiguration   two- stage optimization
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