基于准定向变异和变异回滚微分算法的风电场无功补偿

doi:10.11930/j.issn.1004-9649.2013.5.71.5

中国电力 ›› 2013, Vol. 46 ›› Issue (5): 71-76.DOI: 10.11930/j.issn.1004-9649.2013.5.71.5

基于准定向变异和变异回滚微分算法的风电场无功补偿

郑太一¹，焦邵华²，赵会龙³，林俐³

1. 吉林电网调度中心,吉林长春 130021;
2. 北京四方继保自动化股份有限公司,北京 100084;
3. 华北电力大学电气与电子工程学院,北京 102206

收稿日期:2012-12-20 出版日期:2013-05-05 发布日期:2015-12-14
作者简介:郑太一（1959—）,男,吉林舒兰人,高级工程师,从事电力系统调度及自动化研究。E-mail: zhengty@jlep.com.cn
基金资助:
国家863高技术基金项目（2011AA05A104）

Quasi-Directional Variation and Rollback Mutation Based Differential Evolution Algorithm for Reactive Power Compensation of Wind Farms

ZHENG Tai-yi¹, JIAO Shao-hua², ZHAO Hui-long³, LIN Li³

1. Dispatch Center of Jilin Power Grid, Changchun 130021, China;
2. Beijing Sifang Automation Co., Ltd., Beijing 100084, China;
3. School of Electrical & Electronic Engineering, North China Electric Power University, Beijing 102206, China

Received:2012-12-20 Online:2013-05-05 Published:2015-12-14

摘要/Abstract

摘要： 电网无功补偿方案求解是高维非线性寻优问题,大规模风电场的接入增加了求解这一问题的难度。微分进化算法是求解此类问题的有效算法,但该算法对初始种群依赖性强且前期寻优逼近能力弱,因此提出准定向变异和变异回滚策略对其进行改进。以全网母线电压偏移和为目标函数,以基于准定向变异和变异回滚策略的改进微分进化算法为求解工具,建立求解大规模风电场无功补偿方案的计算模型。与普通微分进化算法相比,该算法在寻优初期具有寻优能力强且快速逼近最优解的优点,其确定的补偿方案可明显提高地区电网的电压水平。

关键词: 风电场, 无功补偿, 微分进化算法, 准定向变异, 变异回滚

Abstract: Reactive power compensation of power grids is a kind of high-dimensional nonlinear optimization procedure that will become extremely complex with the integration of large-scale wind farms. Differential evolution algorithm is an effective method to solve the problem. To overcome its heavy dependence on the initial population and weak capability to approach to the optimization solution in the early process, a strategy based on quasi-directional variation and rollback mutation is presented to improve the performance of the algorithm. The sum of all bus voltage deviations is treated as the objective function and a computational model to design the compensation scheme is established. Compared with the ordinary differential evolution algorithm, the proposed algorithm is more efficient in searching for optimal solution with better convergence, such that the compensation scheme can be obtained with significant improvements in the area voltage profiles.

Key words: wind farm, reactive power compensation, differential evolution algorithm, quasi-directional variation, rollback mutation

中图分类号:

TM614

郑太一，焦邵华，赵会龙，林俐. 基于准定向变异和变异回滚微分算法的风电场无功补偿[J]. 中国电力, 2013, 46(5): 71-76.

ZHENG Tai-yi, JIAO Shao-hua, ZHAO Hui-long, LIN Li. Quasi-Directional Variation and Rollback Mutation Based Differential Evolution Algorithm for Reactive Power Compensation of Wind Farms[J]. Electric Power, 2013, 46(5): 71-76.

导出引用管理器 EndNote|Ris|BibTeX

链接本文: https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.2013.5.71.5

https://www.electricpower.com.cn/CN/Y2013/V46/I5/71

参考文献

[1] TAPIA G, TAPIA A, OSTOLAZA J X. Proportional-integral regulator-based approach to wind farm reactive power management for secondary voltage control[J]. IEEE Transactions on Energy Conversion, 2007, 22(2): 488-498.
[2] 钱少锋,林俐,沈辉,等. 基于PSS/E Wind大型风电场并入输电网的动态特性研究[J].电力系统保护与控制,2009,37（6）：11-16.
QIAN Shao-feng, LIN Li, SHEN Hui, et al . Dynamic characteristic analysis of transmission grid including large wind farm by PSS/E wind package[J]. Power System Protection and Control, 2009, 37(6): 11-16.
[3] El-MOURSI M, JOOS G, ABBEY C. A secondary voltage control strategy for transmission level interconnection of wind generation[J]. IEEE transactions on power electronics, 2008, 23(3): 1178-1190.
[4] 张锋,李明霞,樊国伟,等. 风电接入对地区电网暂态电压稳定性的影响[J]. 中国电力,2011,44（9）：17-21.
ZHANG Feng, LI Ming-xia, FAN Guo-wei, et al . Transient voltage stability study about a regional grid integrated with wind power[J]. Electric Power, 2011, 44(9): 17-21.
[5] LIN Li, JIA Lin-li, ZHAO Hui-long. Investigation of maximum probabilistic capacity of wind farms based on voltage stability[C]// IEEE on Innovative Smart Grid Technologies-Asia-China-TianJin. Tianjin, China, 2012: 1-4.
[6] 类延民,李华强,林茂君.含风电场的电力系统节点电压脆弱性评估[J].电力系统保护与控制,2011,39（16）：58-62.
LOU Yan-min, LI Hua-qiang, LIN Mao-jun. Assessment of node voltage vulnerability of power system with wind farm[J]. Power System Protection and Control, 2011, 39(16): 58-62.
[7] 熊虎岗,程浩忠,张节谭,等. 提高系统无功备用容量的多目标无功补偿规划[J]. 高电压技术,2008,34（2）：309-313.
XIONG Hu-gang, CHENG Hao-zhong, ZHANG Jie-tan, et al .Multi-objective reactive power compensation planning based on improving system reactive power reserve capacity[J]. High Voltage Engineering, 2008, 34(2): 309-313.
[8] FURONG LI, PILGRIM J D, DABEEDIN C, et al . Genetic algorithms for optimal reactive power compensation on the national grid system[J]. IEEE Transactions on Power System,2005, 20(1): 493-500.
[9] 陈树勇,申洪,张洋,等. 基于遗传算法的风电场无功补偿及控制方法的研究[J].中国电机工程学报,2005,25（8）：1-6.
CHEN Shu-yong, SHEN Hong, ZHANG Yang, et al . Researches on the compensation and control of reactive power for wind farms based on genetic algorithm[J]. Proceedings of the CSEE, 2005, 25(8): 1-6.
[10] 江岳文,陈冲,温步瀛. 随机模拟粒子群算法在风电场无功补偿中的应用[J]. 中国电机工程学报,2008,28（13）：47-52.
JIANG Yue-wen, CHEN Chong, WEN Bu-ying. Application of stochastic simulation’s particle swarm algorithm in the compensation of reactive power for wind farms[J]. Proceedings of the CSEE, 2008, 28(13): 47-52.
[11] EPITROPAKIS M G, TASOULIS D K, PAVLIDIS N G, et al .Enhancing differential evolution utilizing proximity-based mutation operators[J]. IEEE Transactions on Evolutionary Computation, 2011, 15(1): 99-119.
[12] 张炳才,秦四娟,乔世军,等. 基于改进微分进化算法的电力系统无功优化[J]. 电力系统保护与控制,2010,38（15）：91-94.
ZHANG Bin-cai, QIN Si-juan, QIAO Shi-jun, et al . Reactive power optimization in power system based on modified differential evolution algorithm[J]. Power System Protection and Control, 2010, 38(15): 91-94.
[13] RAHNAMAYAN S, TIZHOOSH H R, SALAMA M M A.Opposition based differential evolution[J]. IEEE Transactions on Evolutionary Computation, 2008, 12(1): 64-79.
[14] MININNO E, NERI F, CUPERTINO F, et al . Compact differential evolution[J]. IEEE Transactions on Evolutionary Computation,2011, 15(1): 32-54.
[15] 周双喜,朱凌志,郭锡玖,等.电力系统电压稳定性及其控制[M]. 北京：中国电力出版社,2003：166-168.
ZHOU Shuang-xi, ZHU Ling-zhi, GUO Xi-jiu, et al . Power system voltage stability and control[M]. Beijing: China Electric Power Press, 2003: 166-168.
[16] 李亚明. 大规模风电并网的电力系统无功补偿研究[D]. 北京：华北电力大学,2012：19-21.
LI Ya-ming. Research on reactive power compensation of power system with large-scale wind farm[D]. Beijing: North China Electric Power University, 2012: 19-21.

基于准定向变异和变异回滚微分算法的风电场无功补偿

Quasi-Directional Variation and Rollback Mutation Based Differential Evolution Algorithm for Reactive Power Compensation of Wind Farms

PDF (PC)

可视化

被引次数

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 15

编辑推荐

Metrics

[1]	宋许鹏, 杨小洋, 樊征臻. 基于电流合成矢量轨迹特性的双馈风电场主变压器差动保护[J]. 中国电力, 2025, 58(2): 9-21.
[2]	王泽嘉, 韩民晓, 范溢文. 基于SVG附加电流反馈阻抗重塑的双馈风电场次/超同步振荡抑制策略[J]. 中国电力, 2024, 57(8): 55-66.
[3]	叶婧, 蔡俊文, 张磊, 周广浩, 何杰辉, 翟学. 考虑海缆实际载流量的海上风电集电系统拓扑优化[J]. 中国电力, 2024, 57(7): 173-181.
[4]	李丹, 梁云嫣, 缪书唯, 方泽仁, 胡越, 贺帅. 基于高斯混合聚类和改进条件变分自编码的多风电场功率日场景生成方法[J]. 中国电力, 2024, 57(12): 17-29.
[5]	董淑文, 刘宝柱, 胡俊杰. 计及线路优化投切限流的含风电电网扩展规划方法[J]. 中国电力, 2023, 56(8): 117-125,142.
[6]	徐艳春, 范钟耀, 孙思涵, MI Lu. 基于去趋势分析的大规模双馈风电场送出变压器差动保护[J]. 中国电力, 2023, 56(7): 186-197.
[7]	叶婧, 周广浩, 张磊, 杨莉, 翟学, 蔡俊文. 考虑馈线交叉规避的海上风电场海缆路径优化[J]. 中国电力, 2023, 56(6): 167-175.
[8]	梁伟, 吴林林, 赖启平, 李东晟, 徐曼, 沈沉. 风电直流送出系统送端交流故障下风机过电压研究[J]. 中国电力, 2023, 56(4): 28-37.
[9]	田宇, 黄婧, 谢枭, 王若昕, 沈丹青, 何丽娜, 杨凯帆, 陈汝科. 主动配电网无功补偿和OLTC鲁棒多目标优化配置[J]. 中国电力, 2023, 56(3): 94-99.
[10]	孙佳安, 李琳. 三相非正弦配电网的多重矢量功率理论及无功电流补偿策略[J]. 中国电力, 2023, 56(3): 109-117.
[11]	王朝辉, 黄松阁, 林斌, 陈雨薇, 范淑敏, 施朝晖. 基于海上风电场区66 kV集电系统海缆最大截面经济性分析[J]. 中国电力, 2023, 56(11): 20-28.
[12]	李建华, 曹路, 杨仁炘, 邓桢彦, 李征, 蔡旭. 华东沿海风电场群电网主动频率支撑策略[J]. 中国电力, 2023, 56(11): 49-58, 112.
[13]	祁升龙, 李磊, 何玉鹏, 朱林, 王放, 邹红波. 基于BSSSO算法的无功补偿容量优化方法[J]. 中国电力, 2023, 56(1): 106-111.
[14]	吴亚宁, 罗毅, 雷成, 黄豫, 梁宇, 周生存, 聂金峰. 基于改进型PEM和L指标的含风电场电力系统静态电压稳定评估[J]. 中国电力, 2022, 55(9): 192-203.
[15]	周庆锋, 王思淳, 李德鑫, 刘佳琪, 李同. 基于DDPG的风电场动态参数智能校核知识学习模型[J]. 中国电力, 2022, 55(5): 32-38.

模态框（Modal）标题

基于准定向变异和变异回滚微分算法的风电场无功补偿

Quasi-Directional Variation and Rollback Mutation Based Differential Evolution Algorithm for Reactive Power Compensation of Wind Farms

PDF (PC)

可视化

被引次数

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 15

编辑推荐

Metrics