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Distributed resource optimization aggregation method for distribution network based on ant colony simulated annealing algorithm

ActiveCN120454180BEfficient use ofEfficiently optimize configurationLocal optimumVirtual power plant
The application belongs to the technical field of power systems and discloses a power distribution network distributed resource optimization aggregation method based on an ant colony simulated annealing algorithm; the method first acquires parameters of distributed energy in a virtual power plant, constructs an objective function with the aim of minimizing the total cost of the virtual power plant, sets a constraint condition, and finally solves the objective function by combining an ant colony algorithm and a simulated annealing algorithm to output an optimal solution, namely, an optimal aggregation method of the distributed resources of the power distribution network; the application can jump out of the trap of a local optimal solution, enhance the global search capability, improve the convergence speed, and significantly improve the probability of finding a global optimal solution; the cooling strategy of the simulated annealing algorithm accelerates the late convergence, the pheromone mechanism of the ant colony algorithm strengthens high-quality solutions, and the cooperation of the two can improve the economy and stability of the scheme; by setting the constraint, the aggregation scheme can meet various operation requirements, reduce the scheduling cost, improve the resource utilization rate, realize the efficient utilization and optimal allocation of resources, and the like.
Owner:SHENYANG INST OF ENG