Research On Capacity Planning Of Optical Storage Microgrid Based On Multi-scenario Analysis

With the advancement of the new round of national power system reform,the use of distributed power sources as a form of power supply has increased year by year,and demonstration areas of distributed power supply have been built in some areas of China.Due to the large amount of electricity used,various forms of energy use,and good power supply independence,the industrial park has become the most important demonstration area for the distribution side.However,distributed power supplies have many problems as power supplies.For example,photovoltaic cells are a kind of distributed power source,and their output is affected by the radiation intensity of solar energy.The intensity of solar radiation is affected by seasonal,weather,geographical location and other factors,which has great randomness,resulting in uncertainty and randomness of photovoltaic output..When planning the power supply capacity of the microgrid,there are problems such as surplus or shortage of distributed power output power.Adding an energy storage battery to the microgrid system to adjust the power shortage or excess is one of the effective measures to solve the above problems.This paper establishes the research on the optimal configuration of microgrid capacity composed of distributed photovoltaic power supply and energy storage system in industrial park,and comprehensively considers the power supply mode of photovoltaic,energy storage and grid interaction power to meet the load demand power.At the same time,the problem of uncertainty of photovoltaic output was improved.Multi-scenario generation and reduction techniques were used to analyze the problem of distributed power planning.Moreover,for the problem of waste of photovoltaic power on the load demand side,a power consumption mode based on the electricity price demand elasticity matrix and the load integrated electricity model that matches the timing characteristics of photovoltaic power generation is proposed.For the remaining phenomenon of photovoltaic power,it is stored in the energy storage battery for charging;when the photovoltaic power is insufficient,the energy storage battery discharges the balance load power difference.On this basis,an optimal configuration model of the optical storage microgrid system of the industrial park with the minimum life cycle cost of the microgrid power source is established.The hybrid particle swarm optimization algorithm is used to solve the optimal configuration model,and the economics of the proposed four schemes are analyzed.The example shows that the optical storage microgrid is more economical than the microgrid without the energy storage battery compared to the power configuration without the energy storage battery.Moreover,the use of load transfer in the optical storage microgrid can reduce the configuration capacity of energy storage,and can effectively improve the economic benefits of the optical storage microgrid.In terms of scene generation and reduction,this paper reduces the annual PV scene to 12 scenes,and optimizes the capacity configuration of the generated scene to obtain a running power configuration that satisfies all scenarios.The results show that although the scheme of adding multiple scene generation and reduction techniques will increase some configuration costs,it satisfies the operation configuration in all scenarios and improves the stability of system operation.