A multiobjective optimal scheduling method of active power from source network load storage for smart distribution networks

The structure of smart distribution network is complex, there are many nodes in the network, and each node has differences in load characteristics, power flow direction, etc. Moreover, when carrying out multi-objective optimization of active power scheduling, the mutual influence relationship among source, network, load and storage must be considered. This complex network environment makes the traditional method of determining the deployment nodes of active compensation devices face great challenges, and it is difficult to make accurate judgment. In view of this, a multi-objective optimization scheduling method for source, network, load and storage active power in smart distribution network is proposed. Based on the power loss index, the candidate nodes of smart distribution network are selected, and by calculating the power loss index of each node, the location of the priority deployment of active compensation device is selected. Based on this, a multi-objective optimization scheduling model is constructed for smart distribution networks, and the particle swarm optimization algorithm, combined with the archiving strategy, is used to solve the multi-objective optimization to obtain a better scheduling scheme. The experimental results show that the design method is better than other methods in terms of scheduling output stability and power fluctuation control ability, and can significantly improve the stability of power supply. It provides a new solution for the optimal scheduling of smart distribution networks.