考虑系统安全因素的负荷恢复方案优化

在电力系统网架重构初期,电网结构相对薄弱,恢复部分负荷可以在一定程度上维持系统功率平衡,确保系统安全运行。文中结合系统安全运行特征和负荷投入特点,建立相关负荷恢复模型,提出了一种考虑系统安全因素的负荷恢复方法;以网架各节点电压偏移程度、机组进相运行程度和潮流熵为目标函数,根据实际变电站负荷投入进行潮流调整,确定各节点负荷投入量,以满足系统功率平衡的要求;采用改进粒子群算法对恢复方案进行多目标优化,获得其Pareto最优解集,并采用基于模糊反熵权的M-TOPSIS方法进行最优方案排序,以制订科学合理的负荷投入方案。最后,以新英格兰10机39节点系统和河北南网局部系统为算例验证了所述方法的有效性。

Optimization of Load Recovery Scheme Considering System Security Factors

Load restoration in the early stage of network reconfiguration plays a role in maintaining power balance and stable operation of the power system. According to the operation characteristics of units and the pickup pattern of load, a corresponding model for load recovery is established. Moreover, a method for load pickup considering system stability is presented. The voltage deviation of the restored nodes, the leading phase operation situations of units and power flow entropy are defined as the objective functions. In order to obtain the optimal scheme, power flow regulation based on the load pickup patterns is carried out, and the amount of load pickup is determined. An improved particle swarm optimization algorithm is applied to search for the optimal scheme or feasible schemes. The Pareto optimal solution set acquired by solving the load recovery optimization model provides candidate schemes. The M-TOPSIS multiple attributes decision-making method based on fuzzy anti-entropy weight is applied to identify the satisfactory solution. In the end, effectiveness of the proposed method is validated by the optimization results on the New England 10-unit 39-bus power system and the southern Hebei power system. This work is supported by National Natural Science Foundation of China(No. 51277076)and Fundamental Research Funds for the Central Universities(No. 13XS24).