Abstract: Aimming at the problem of reasonable planning and configuration for the distributed generation to the distribution network, network loss, node voltage deviation, investment, on the basis of comprehensive cost as the objective function, using analytic hierarchy process, the stability of the economy and multi-objective function are considered as a single objective function, and improved Harris hawk algorithm is used to find the optimum configuration scheme. In order to improve the optimization accuracy and convergence speed of Harris Eagle algorithm, Tent chaos is introduced to improve the uniformity of initial population. The combination of whale algorithm and Harris-Eagle algorithm increases the diversity of the algorithm and improves the accuracy of the search. The t-distribution strategy is introduced to enhance the global optimization ability and solve speed. An example is given to verify the efficiency and stability of the improved Harris Eagle algorithm in solving the distributed power supply optimization problem. Through the simulation experiment, compared with the existing particle swarm optimization algorithm and the basic Harris Eagle algorithm, the improved Harris Eagle algorithm effectively reduces the network loss and voltage deviation of the original distribution network system, and reduces the overall investment cost of the distributed generation. The improved Harris-Eagle algorithm is proved to be efficient and stable in solving distributed generation optimal allocation problem.

Key words: distributed generation, distribution network, improved harris eagle optimization, site selection and volume, multi-objective optimization