Optimal configuration of distributed power generation considering carbon emissions
A reasonable and optimal configuration of distributed power access to the distribution network can improve the o-verall voltage distribution of the system while taking into account the interests of operators and users.It established a multi-ob-jective optimization model that comprehensively considered the investment cost of distributed energy resources,user electricity purchase cost,network loss cost,and carbon emission cost.The improved analytic hierarchy process was employed to determine the weights of each objective,which were then transformed into a single-objective function optimization problem.Aiming at the problem of low accuracy and poor optimization effect of the single beetle antennae search in solving high-dimensional complex problems,an improved beetle antennae search particle swarm algorithm was proposed.This algorithm utilized chaos mapping to adjust parameters and introduced dynamic inertia weight and Levy flight mechanism to improve convergence speed.Taking the IEEE33 node system as an example,the effect of the improved beetle antennae search particle swarm algorithm was compared with that of the particle swarm algorithm and beetle antennae search particle swarm algorithm.The result validated the feasibili-ty of the improved algorithm for the optimization problem of distributed power sources,effectively reducing carbon emission costs and user power purchase costs,reducing system network losses,and improving the overall voltage distribution of the sys-tem.
万方数据
维普
