Research On Distributed Generation Siting And Sizing Based On PSO-ACO Hybrid Algorithm

With the advent of the third energy revolution,China's energy structure is entering a period of profound change.China's original energy structure is mainly coal-burning,and many new renewable energy sources such as light energy and wind energy are very low.Since the most important use of coal is power Generation,the most feasible measure to achieve energy structure transformation and energy conservation and emission reduction is to vigorously develop clean Distributed Generation(DG)instead of coal-fired power Generation.In the domestic environment pressure and under the influence of China's economy is the new normal,the government strongly support distributed clean energy such as wind power,solar power generation,construction and research in order to achieve the goal of energy conservation and emissions reduction and cleaner alternative.At the same time,with the increasing maturity of DG technology and continuous improvement of production process,DG's degree of electricity cost has decreased year by year,which also provides strong support for the construction of DG project.When DG is incorporated into the distribution network,the structure of the distribution network will be changed.It has positive influence mainly on reducing power loss on line,supporting node voltage,reducing environmental pollution and improving power supply reliability.However,the access of DG also has some negative effects on the distribution network,such as: changing the direction of the trend affects the relay protection work,harmonic pollution,voltage cross boundary,voltage fluctuation,and three-phase imbalance.DG is connected with both benefit and negative effect,and it is closely related to its location and capacity.Therefore,DG site selection and fixed capacity problem have important research value.This paper carefully studies the impact of DG parallel operation of distribution network,choose the loss reduction index,the index of voltage optimization index,environmental emissions,as the aim of the capacity to optimize the DG location and then normalized objective function is established.Detailed analysis of the Particle Swarm algorithm(PSO)principle and characteristics,and also studied the Ant Colony algorithm(ACO)characteristics,based on the research of the two algorithm found the complementarity of the two,and then to combine two kinds of algorithm,PSO-ACO hybrid algorithm is constructed.At last,PSO-ACO hybrid algorithm is used to calculate the target function of the fixed capacity of DG.According to the results of the calculation example,the PSO-ACO hybrid algorithm perfectly compensates the basic PSO algorithm and ACO algorithm,and can better and faster finish the optimization work.At the same time,it is proved that the objective function established in this paper has good practicability,and the combination of the two can achieve good planning effect.