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Difficulties in the consumption of new energy such as wind and light are one of the main reasons for the low penetration rate of distributed power. The multi-objective coordinated scheduling model of anomalous control domain with electric/thermal energy storage and translatable load is constructed from the aspects of energy utilization, system network loss and environmental pollution cost. A hybrid random black hole algorithm is proposed to improve the algorithm by using global search mechanism. Optimization ability. The example analysis is carried out by IEEE30 node power distribution system. The simulation results show that the coordinated optimization of energy storage and translatable load can effectively improve energy efficiency, reduce system network loss and environmental pollution cost, and verify the rationality of the proposed model

Multi-objective coordinated scheduling of anomalous control domain with electric/thermal energy storage and translatable load