基于RTDS仿真的自适应低压减载策略研究

doi:10.16182/j.issn1004731x.joss.17-0434

系统仿真学报 ›› 2020, Vol. 32 ›› Issue (1): 61-68.doi: 10.16182/j.issn1004731x.joss.17-0434

基于RTDS仿真的自适应低压减载策略研究

赵丹¹, 满基¹, 倪云玲², 刘登鑫¹, 王卫东¹

1. 许继电气股份有限公司,河南许昌 461000;
2. 许继集团有限公司,河南许昌 461000

收稿日期:2017-09-15 修回日期:2017-11-13 发布日期:2020-01-17
作者简介:赵丹(1989-),女,河南漯河,硕士,工程师,研究方向为智能变电站自动化保护;满基(1986-),男,安徽阜阳,本科,工程师,研究方向为电力系统仿真;倪云玲(1976-),女,浙江定海,本科,工程师,研究方向为智能变电站和电子互感器。

Research on the Strategy of Adaptive UVLS Based on RTDS Simulation

Zhao Dan¹, Man Ji¹, Ni Yunling², Liu Dengxin¹, Wang Weidong¹

1. XJ Electric Co., Ltd., Xuchang 461000, China;
2. XJ Group Corporation, Xuchang 461000, China

Received:2017-09-15 Revised:2017-11-13 Published:2020-01-17

摘要/Abstract

摘要： 针对集中式站域保护的低压减载切负荷后,系统电压恢复较慢及不稳定的问题,对传统的低压减载切负荷策略进行改进。在考虑满足功率缺额、负荷的重要等级等因素的同时,引入待切负荷的功率因数,以切负荷量最小和切无功最小为目标函数,建立低压减载模型,将该问题转化为一个带有约束的多目标优化问题。采用多目标粒子群优化算法对低压减载模型进行求解,获得最优切负荷策略。通过RDTS仿真系统分析,验证了所提策略的正确性和优越性。

关键词: 低压减载, 功率因数, 多目标粒子群算法, RTDS仿真, 电压稳定

Abstract: Aiming at the improvement of the slow and unstable system voltage recovery after the low voltage load shedding load protected by centralized station area, the traditional low voltage load shedding load strategy will be researched. Considering the factors such as the power shortage and the important grade of the load, the power factor of the load to be cut is introduced, and the low load shedding model is established by minimizing the amount of cut load and minimizing the reactive power. The research is transformed into a belt Constrained multi-objective optimization research. The multi- objective particle swarm optimization algorithm is used to solve the low-voltage load - shedding model, and the optimal load - keeping strategy is obtained. Through the RDTS simulation system analysis, the correctness and superiority of the proposed strategy is verified.

Key words: UVLS(undervoltage load shedding), power factor, multiuser particle swarm optimization, RTDS simulation, voltage stability

中图分类号:

TM732

赵丹, 满基, 倪云玲, 刘登鑫, 王卫东. 基于RTDS仿真的自适应低压减载策略研究[J]. 系统仿真学报, 2020, 32(1): 61-68.

Zhao Dan, Man Ji, Ni Yunling, Liu Dengxin, Wang Weidong. Research on the Strategy of Adaptive UVLS Based on RTDS Simulation[J]. Journal of System Simulation, 2020, 32(1): 61-68.

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基于RTDS仿真的自适应低压减载策略研究

Research on the Strategy of Adaptive UVLS Based on RTDS Simulation

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