An Extreme Optimized Power Flow Method to Allocate Reactive Power for Regional Power System

XU Lin; LIU Junyong; GUO Yanlin; SHEN Xiaodong; XU Lixiong

Modern Electric Power > 2016 > 33(6): 37-45.

XU Lin, LIU Junyong, GUO Yanlin, et al. An Extreme Optimized Power Flow Method to Allocate Reactive Power for Regional Power System[J]. Modern Electric Power, 2016, 33(6): 37-45.

Citation:

XU Lin, LIU Junyong, GUO Yanlin, et al. An Extreme Optimized Power Flow Method to Allocate Reactive Power for Regional Power System[J]. Modern Electric Power, 2016, 33(6): 37-45.

Citation:

XU Lin, LIU Junyong, GUO Yanlin, et al. An Extreme Optimized Power Flow Method to Allocate Reactive Power for Regional Power System[J]. Modern Electric Power, 2016, 33(6): 37-45.

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An Extreme Optimized Power Flow Method to Allocate Reactive Power for Regional Power System

1.
Sichuan Electric Power Science & Research Institute, Chengdu 610072, China;

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Received Date: October 31, 2015
Revised Date: December 26, 2016
Published Date: December 18, 2016

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Abstract

Abstract

In this paper, it is pointed out that the existing reactive power optimization algorithms cannot solve the allocation problem of reactive power under the coordination of provincial and regional power grid, so the extreme optimal power flow (EOPF) is presented based on the voltage contribution degree and reactive power contribution degree. To meet the requirement of voltage level and the power factor between provincial and regional power grid, the relax optimization can be achieved by selecting capacitors that can effectively improve system voltage level and power factor, and such indexes as the voltage contribution degree and reactive power degree are proposed to realize relative quantification. Suitable capacitors are chosen in EOPF, which can expand the searching region of the optimization problem to find out the optimal solution under different load modes, and relative suggestions on optimization solution mode are provided for departments of system planning and operation. In the end, case study on IEEE 30-buses system and a regional power grid in Sichuan Province is used to verify the flexibility and effectiveness of the proposed EOPF method.

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王彬,郭庆来,孙宏斌,等.双向互动的省地协调电压控制[J].电力系统自动化,2010(12):5357.[2] 杨洪耕,李智.地区AVC现状及智能AVC建设的若干思考[J].电力科学与技术学报,2011,26(1):7781.[3] 张勇军,张锡填,苏杰和.基于AVC系统的省地电网关口无功功率协调控制方法[J].电网技术,2013,37(10):27712777.[4] 张勇军,张豪,唐捷.小方式下省地电网无功电压调控的去失配策略[J].电网技术,2013,37(1):144149.[5] 张勇军,刘瀚林,朱心铭.地区电网感性无功补偿优化配置方法[J].电网技术,2011,35(11):141145.[6] 张志强,苗友忠,李笑蓉,等.电力系统无功补偿点的确定及其容量优化[J].电力系统及其自动化学报,2015,27(3):9297.[7] 冷永杰,张路寅,赵建峰,等.基于多线程遗传算法的目标分级地区电网无功优化控制[J].电力系统保护与控制,2015,43(18):3741.[8] Dai Chaohua, Chen Weirong,Zhu Yunfang,et al. Seeker Optimization Algorithm for Optimal Reactive Power Dispatch[J].IEEE Transactions on Power Systems,2009,24(3):12181231.[9] 颜伟,雷超,文旭,等.无功优化不可行问题的薄弱节点辨识方法[J].中国电机工程学报,2015,35(18):46164624.[10]Taylor J A,Hover F S. Linear Relaxations for Transmission System Planning[J].IEEE Transactions on Power Systems, 2011,26(4):25332538. [11]张粒子,舒隽.基于遗传算法的无功规划优化[J].中国电机工程学报,2000,20(6):58.[12]刘方,颜伟,David,等.基于遗传算法和内点法的无功优化混合策略[J].中国电机工程学报,2005,25(15):6772.[13]余娟,颜伟,徐国禹,等.基于预测-校正原对偶内点法的无功优化新模型[J].中国电机工程学报,2005,25(11):146151.[14]邱晓燕,张子健,李兴源.基于改进遗传内点算法的电网多目标无功优化[J].电网技术,2009,33(13):2731.[15]王彬,郭庆来,周华锋,等.南方电网网省地三级自动电压协调控制系统研究及应用[J].电力系统自动化,2014,38(13):208215.[16]Jiawei Han,Micheling Kamber, Jian Pei. 数据挖掘概念与技术[M].范明,孟小峰,等译.北京:机械工业出版社,2001.

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