基于RTDS仿真的自适应低压减载策略研究

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。

Research on the Strategy of Adaptive UVLS Based on RTDS Simulation

Aiming at the improvementof the slow and unstable system voltage recoveryafter 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 researchis transformed into a belt Constrained multi-objective optimization research. The multiobjective 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.