主动配电网分区分布式无功优化控制方法

陈明; 顾伟; 李鹏; 张雪松; 赵波

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主动配电网分区分布式无功优化控制方法

陈明, 顾伟, 李鹏, 张雪松, 赵波

文章导航 > 现代电力 > 2017 > 34(6): 40-44

陈明, 顾伟, 李鹏, 等. 主动配电网分区分布式无功优化控制方法[J]. 现代电力, 2017, 34(6): 40-44.

引用本文:

陈明, 顾伟, 李鹏, 等. 主动配电网分区分布式无功优化控制方法[J]. 现代电力, 2017, 34(6): 40-44.

CHEN Ming, GU Wei, LI Peng, etc. Distributed Reactive Power Optimization Control Method for Active Distribution Network Based on Subarea Division[J]. Modern Electric Power, 2017, 34(6): 40-44.

Citation:

CHEN Ming, GU Wei, LI Peng, etc. Distributed Reactive Power Optimization Control Method for Active Distribution Network Based on Subarea Division[J]. Modern Electric Power, 2017, 34(6): 40-44.

主动配电网分区分布式无功优化控制方法

陈明¹,
顾伟¹,
李鹏²,
张雪松²,
赵波²

1.
东南大学电气工程学院,江苏南京 210096;
2.
国网浙江省电力公司电力科学研究院,浙江杭州 310014

基金项目: 国家自然科学基金项目(51477029);国家电网公司科技项目(5211DS150015)

详细信息

中图分类号: TM734

Distributed Reactive Power Optimization Control Method for Active Distribution Network Based on Subarea Division

1.
School of Electrical Engineering,Southeast University,Nanjing 210096,China;
2.
Zhejiang Electric Power Corporation Research Institute of State Grid,Hangzhou 310014,China

摘要: 大规模分布式电源的接入对配电网无功优化提出了巨大的挑战,而传统集中优化存在依赖中央控制器,易产生通信堵塞等弊端。为提高主动配电网无功电压控制的可靠性,采用二阶锥松弛技术建立了主动配电网无功优化模型,并基于辅助问题原理提出了一种主动配电网分区分布式无功优化控制方法,并进一步提出了边界变量标准化处理方法,以提高分区无功优化的收敛速度,实现全局网损优化。基于所提优化方法,各个分区仅需采集区内功率电压信息,并与相邻分区交互边界变量即可实现无功调度和全局网损优化,保证系统电压质量。最后,基于IEEE 69节点配电系统进行仿真,验证了所提控制方法的有效性。
- 主动配电网 /
- 分布式控制 /
- 辅助问题原理 /
- 无功优化 /
- 分区控制 /
- 二阶锥松弛
Abstract: The integration of large-scale distributed generations presents a huge challenge on reactive power optimization for active distribution network. While the traditional centralized control has such disadvantages as being dependent on central control and easy to produce a communication blockage. To improve the control reliability of distribution network, reactive power optimization model is built based on second-order cone relaxation techniques, and a subarea based distributed reactive power optimization control method for active distribution network based on auxiliary problem principle is presented to achieve global active power loss optimization. In addition, border variable standardized method is proposed to improve convergence speed of subarea based reactive optimization. Based on the proposed control method, the reactive power scheduling and global active power loss optimization can be realized just according to the power and voltage information collected from individual partition and interface border variables in neighborhood partitions, which guarantees voltage quality of power system. In the end, by using the IEEE 69-bus distribution system, the effectiveness of the proposed control method is verified by numerical simulations.
- active distribution network /
- distributed control /
- auxiliary problem principle /
- reactive power optimization /
- subarea based control /
- second-order conic relaxation

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主动配电网分区分布式无功优化控制方法

1. 东南大学电气工程学院,江苏南京 210096;

2. 国网浙江省电力公司电力科学研究院,浙江杭州 310014

基金项目: 国家自然科学基金项目(51477029);国家电网公司科技项目(5211DS150015)

收稿日期: 2016-08-07
修回日期: 2017-12-26
刊出日期: 2017-12-09

中图分类号: TM734

关键词:

摘要: 大规模分布式电源的接入对配电网无功优化提出了巨大的挑战,而传统集中优化存在依赖中央控制器,易产生通信堵塞等弊端。为提高主动配电网无功电压控制的可靠性,采用二阶锥松弛技术建立了主动配电网无功优化模型,并基于辅助问题原理提出了一种主动配电网分区分布式无功优化控制方法,并进一步提出了边界变量标准化处理方法,以提高分区无功优化的收敛速度,实现全局网损优化。基于所提优化方法,各个分区仅需采集区内功率电压信息,并与相邻分区交互边界变量即可实现无功调度和全局网损优化,保证系统电压质量。最后,基于IEEE 69节点配电系统进行仿真,验证了所提控制方法的有效性。

English Abstract

Distributed Reactive Power Optimization Control Method for Active Distribution Network Based on Subarea Division

1. School of Electrical Engineering,Southeast University,Nanjing 210096,China;

2. Zhejiang Electric Power Corporation Research Institute of State Grid,Hangzhou 310014,China

Received Date: 2016-08-07
Rev Recd Date: 2017-12-26
Publish Date: 2017-12-09

Keywords:

Abstract: The integration of large-scale distributed generations presents a huge challenge on reactive power optimization for active distribution network. While the traditional centralized control has such disadvantages as being dependent on central control and easy to produce a communication blockage. To improve the control reliability of distribution network, reactive power optimization model is built based on second-order cone relaxation techniques, and a subarea based distributed reactive power optimization control method for active distribution network based on auxiliary problem principle is presented to achieve global active power loss optimization. In addition, border variable standardized method is proposed to improve convergence speed of subarea based reactive optimization. Based on the proposed control method, the reactive power scheduling and global active power loss optimization can be realized just according to the power and voltage information collected from individual partition and interface border variables in neighborhood partitions, which guarantees voltage quality of power system. In the end, by using the IEEE 69-bus distribution system, the effectiveness of the proposed control method is verified by numerical simulations.

陈明, 顾伟, 李鹏, 等. 主动配电网分区分布式无功优化控制方法[J]. 现代电力, 2017, 34(6): 40-44.

引用本文:

陈明, 顾伟, 李鹏, 等. 主动配电网分区分布式无功优化控制方法[J]. 现代电力, 2017, 34(6): 40-44.

CHEN Ming, GU Wei, LI Peng, etc. Distributed Reactive Power Optimization Control Method for Active Distribution Network Based on Subarea Division[J]. Modern Electric Power, 2017, 34(6): 40-44.

Citation:

CHEN Ming, GU Wei, LI Peng, etc. Distributed Reactive Power Optimization Control Method for Active Distribution Network Based on Subarea Division[J]. Modern Electric Power, 2017, 34(6): 40-44.

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主动配电网分区分布式无功优化控制方法

Distributed Reactive Power Optimization Control Method for Active Distribution Network Based on Subarea Division

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主动配电网分区分布式无功优化控制方法

1. 东南大学电气工程学院,江苏南京 210096; 2. 国网浙江省电力公司电力科学研究院,浙江杭州 310014

English Abstract

Distributed Reactive Power Optimization Control Method for Active Distribution Network Based on Subarea Division

1. School of Electrical Engineering,Southeast University,Nanjing 210096,China; 2. Zhejiang Electric Power Corporation Research Institute of State Grid,Hangzhou 310014,China

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目录

1. 东南大学电气工程学院,江苏南京 210096;

2. 国网浙江省电力公司电力科学研究院,浙江杭州 310014

1. School of Electrical Engineering,Southeast University,Nanjing 210096,China;

2. Zhejiang Electric Power Corporation Research Institute of State Grid,Hangzhou 310014,China