Economic Dispatch Of Microgrid Based On BAS-PSO Intelligent Algorithm

In recent years,with the maturity and application of non-aqueous renewable energy power generation mainly based on wind power and solar photovoltaic power generation technologies,the domestic new energy installed capacity and the proportion of power generation have increased rapidly.The proportion of new energy power generation has jumped from1.1% in 2010 to 8.4% in 2019,Especially in recent years The vigorous development of a large number of technology leader and application leader bases in places,such as Shanxi,Inner Mongolia,Liaoning,Qinghai,Xinjiang and other places,superimposed on the innovation of electricity price mechanism,transaction value and business model,has greatly reduced the cost of wind power and solar photovoltaic power generation and promoted its own development.It has gone through the era of living on state financial subsidies and bidding to the era of parity.At the same time,the user-side small microgrid system is booming,which are composed of many distributed energy sources such as wind power generation and solar photovoltaic power generation.With the increasing scale of micro-grid,its economic operation problems gradually become prominent.In order to make the current and future microgrids obtain higher economic returns and serve the society better,it is necessary to carry out research work on the daily economic dispatching of microgrids.This paper is based on the BAS-PSO intelligent algorithm,this paper conducts research on the economics of micro-grid operation.The application scenario of micro-grid takes the first phase of the integrated intelligent energy project of Shanghai Electric Power Plant as a practical case.First of all,this thesis divides micro-grids into two typical micro-grids,Involving and not involving flexibility.For a micro-grid system that does not involve flexible loads,its internal load distribution is fixed and non-adjustable,and it can only be supplied on time on demand.For micro-grids involving flexible loads,the internal load distribution can be optimally dispatched according to certain rules.Secondly,this thesis analyzes the economic operation of micro grid without involving flexible load,proposes the objective function of optimization of daily economic operation of micro grid and its corresponding constraints.Moreover,the standard PSO algorithm is used to solve the optimization problem.Since the standard PSO algorithm is premature and often out of the optimization process in advance,an improved intelligent algorithm based on Beetle Antennae Search and particle swarm optimization(BAS-PSO)is proposed.This proposed algorithm not only has the excellent global searching ability of Beetle Antennae Search algorithm(BAS),but also has the accurate searching ability of PSO algorithm.Thirdly,aiming at the daily economic operation of micro-grid involving flexible load,the optimal objective function and load constraint conditions of the daily economic operation of micro-grid are proposed,and the optimized solution is obtained by using the improved BAS-PSO intelligent algorithm.Finally,the economic operation scheduling scheme of micro-grid by standard PSO algorithm and the improved BAS-PSO intelligent algorithm are tested on the first phase of the integrated intelligent Energy project of Shanghai Electrical Machinery Plant.The test has been carried out under the normal weather and abnormal weather respectively.The simulation results show that the micro-grid system involving flexible loads has more optimization space,the investment of energy storage equipment can improve the operation economy of the micro-grid,and the improved BAS-PSO intelligent algorithm has better optimization ability than the standard particle swarm intelligence algorithm.When BAS-PSO algorithm is used for optimization,the overall cost of microgrid can be reduced by 2%.