考虑相邻时段投切次数约束的动态无功优化启发式策略

Heuristic Strategy for Dynamic Reactive Power Optimization Incorporating Action Time Constraints Between Adjacent Time Intervals

在开关日动作次数约束基础上,考虑分接头挡位的相邻时段动作次数约束,建立了一种更加实用的动态无功优化新模型。按照"先投先切、后投后切"原则,将同一母线的多个电容器组等效为1个集中变量,并根据其中的电容器组个数来确定等效变量的动态约束值。由此,既满足了电容器的实际动态约束,又减小了模型的变量规模。在求解动态无功优化问题时,以混合智能算法为基础,提出处理动态约束的启发式调整策略,采用稀疏技术,有效提高了算法的效率。IEEE14与IEEE30节点系统和一个实际系统的仿真结果验证了所述模型的正确性和算法的有效性。

Considering the conventional constraints of maximum allowable daily operating times for the on-load tap changer （OLTC） and capacitor and a new constraint of maximum allowable switching operations for OLTC between two adjacent time intervals, an effective model for dynamic reactive power optimization is proposed. Furthermore, all capacitors connected to one bus are regarded as one equivalent capacitor whose operating time is determined by the operating time of all its sub-capacitors. With this method the scale of control variables in the new model is greatly reduced, and the actual switching constraints can be satisfied as well on the principle of ＂first in first off, last in last off＂. To solve the dynamic optimization problem, a heuristic strategy for dealing with the dynamic constraints is presented on the basis of a hybrid intelligent algorithm. The sparse technique is adopted to enhance the performance of the proposed algorithm. Test results on IEEE 14-bus, IEEE 30-bus systems and a real power system demonstrate the efficiency of the proposed model and ahzorithm.