Static Location and Capacity Determination Strategy of Power Grid Based on Improved Cuckoo Algorithm
Due to the limitations of traditional algorithms in solving multi-criteria functions,this paper uses an im-proved cuckoo search algorithm to implement a new type of reactive power optimization strategy for multi-objective optimization of comprehensive voltage constraints.The strategy firstly determines the node that can reduce the net-work loss the most and compensate the least,and then constructs a new objective function to minimize the cost in-put,save the most active power network loss after compensation,and synthesize the voltage constraints of the sys-tem.In this paper,the improved cuckoo algorithm is used to initialize the population by introducing chaos mapping,and the adaptive of the algorithm is improved to balance the global search ability and local search ability,so as to a-chieve the optimal solution of the objective function,that is,the optimal reactive power compensation scheme.In this paper,an example is simulated in IEEE 34 node system to verify the effectiveness and feasibility of the proposed method,and compared with other algorithms.The simulation results show that the improved cuckoo algorithm pro-posed in this paper is superior to other algorithms in search accuracy,search speed and convergence.At the same time,the total network loss and cost input are optimal.Therefore,the reactive power optimization strategy based on improved cuckoo algorithm proposed in this paper is of great significance.
reactive power optimizationcuckoo search algorithmnetwork lossvoltage deviationcompensation capacity
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