A Multi-category Distributed Power Distribution Network Planning Method Based on Improved Honey Badger Optimization Algorithm

Simultaneous access to photovoltaic and wind power sources as well as energy storage guarantee systems in the distribution network is an effective way to promote renewable energy consumption and achieve sustainable energy development. To this end, this paper proposes a distributed power planning method for distribution networks based on the improved honey badger algorithm. The method firstly constructs a mathematical model for distribution network distributed power planning optimization, and sets three optimization objectives including power loss, voltage offset and economic quantification based on the consideration of the stochastic timing characteristics of various types of distributed power and load in different seasons; then, the honey badger algorithm is improved by the introduction of the Pareto solution set and the congestion calculation, so that the algorithm has the ability to deal with multiple objectives. Finally, taking the IEEE-33 node standard distribution network and typical microgrid topology as examples, the optimization method proposed in this paper is verified to be able to consider the three objectives in an integrated manner and achieve the overall optimality of distributed power siting and capacity determination. Compared with the classical multi-objective particle swarm algorithm, the proposed method in this paper has a significant improvement in the performance of optimization results.