Research On Location And Capacity Of Distributed Power Generation Based On MTMBO Algorithm And Its Two-stage Optimal Scheduling

In recent years,under a new round of energy reform centered on electricity,distributed power sources have been used more and more widely due to their unique advantages.Distributed power generation(DG)refers to a small independent power generation system with a power of tens of millions to tens of megawatts on the user side to meet the needs of users and support the economic and stable operation of the distribution network.As more and more distributed power sources are connected to the grid,they have also brought many effects on the node voltage,network flow,and network loss of the distribution network.This paper analyzes the influence of different access capacities and access locations of distributed power sources on the distribution network voltage distribution and network loss through theory and simulation,and demonstrates the important significance of the location and capacity of distributed power sources.Several common distributed power sources of photovoltaic,wind power,and micro gas turbines and their output characteristics are introduced.At the same time,the power flow calculation method used in this article is introduced.The Homer software simulation shows the importance of DG type selection and combination.In the optimization process,natural gas price,wind speed,and pollutant emission penalties are used as sensitivity factors to conduct a sensitivity analysis to show its influence on DG type selection.degree.Established a distributed power source location and capacity model based on user power purchase cost,distribution network system network loss,and environmental cost as the objective function.An improved optimization algorithm for magnetotactic bacteria(MTMBO)was proposed to solve the model.The analysis of the IEEE 33-node system verified the superiority of the algorithm in solving the model,and improved the convergence speed and accuracy.Based on the realization of the location and capacity of distributed power generation,this paper further studies the optimal dispatching of distributed power generation.The optimal dispatch in this paper is a two-stage optimal dispatch,including day-ahead optimal dispatch and reactive power optimal dispatch.Day-ahead optimal dispatch is based on the forecast of the next day’s load,wind and solar,and is based on power purchase costs,interruptible load compensation fees,environmental costs,and DG operation and start-up.The shutdown cost establishes an optimal scheduling model for the objective function to ensure the economic operation of the system.In order to further improve the stability of the system and reduce the network loss on the basis of the optimized scheduling recently,the reactive power output of the DG and the reactive power compensator output have been optimized.The analysis of the IEEE 33-bus system example shows the feasibility of the model.