基于灵敏系数和模型预测控制的电压优化策略

针对智能算法的计算量大、没有考虑发电机旋转备用等问题,提出基于灵敏度系数和模型预测控制(MPC)的电压优化控制策略,可以对大负荷节点和枢纽节点进行电压优化,提高系统电压稳定性。建立了系统无功电压的预测模型,研究了旋转备用容量对系统静态电压和暂态电压稳定性的影响。提出的策略可以有效提高系统故障后暂态电压的稳定性,故障切除后暂态电压可以快速有效地恢复,提升了系统的暂态稳定性,该策略在基于MATLAB的IEEE14节点系统中得到验证。

Optimal Voltage Control Strategy Based on Sensitivity Coefficient and Model Predictive Control

The voltage optimization control strategy based on the sensitivity coefficient and model predictive control(MPC)is proposed to solve such as large amount of calculation and no consideration of generator spinning reserve capacity in intelligent algorithm,which can optimize the voltage of the bus with large load and the hub bus,and improve the system voltage stability.A predictive model between the reactive power and voltage of the system is established,and the influence of the spinning reserve capacity on the stability of static voltage and transient voltage with the system is studied.The strategy can effectively improve the stability of the transient voltage after a system failure,and the transient voltage can be restored quickly and effectively after the fault is removed,which improves the transient stability of the system.The strategy has been verified in the IEEE 14-bus system based on MATLAB.