Multi Objective Optimization Operation Of Microgrid Based On Demand Side Management

The microgrid is a system unit composed of a power supply side,a load side,an energy storage system,and a control device.The microgrid is capable of self-control,self-protection and self-management.Demand side management refers to management performed on the user side.By guiding users to use less electricity during peak hours,they use more electricity when they use electricity.Different from the previous micro-network scheduling on the power supply side,considering the demand-side load in the study of the entire micro-network optimization scheduling,not only can the power supply pressure be alleviated,the overall grid operation cost can be saved,and the energy structure and the environment can be improved.The main research contents of this paper include:First,a mathematical model is established for distributed power sources(wind power generation,photovoltaic cells)in the microgrid.The working principle of the battery and super capacitor in the energy storage system is introduced and then the energy storage system model is established.For the demand side part,the classification and characteristics of each load are introduced.Since the floor and the enclosure structure have certain heat storage and heat preservation capacity,when the heating load changes,the indoor action temperature changes slowly.With this characteristic,we select the heating floor as the heating floor.The main research object on the demand side.As the demand side load,the floor heating can improve the user's electricity consumption mode in the microgrid,and it plays the role of cutting the peak and filling the valley,and improves the economical operation of the microgrid.Secondly,a micro-grid multi-objective optimization model including wind power,photovoltaic cells,energy storage system and demand side part with floor heating load is established.There are two objective functions.The first objective function is to make the entire microgrid run at the lowest economic cost,and the second objective function is to optimize the user's electrical comfort.Considering the uncertainty of photovoltaic,wind power generation and load power,it is difficult to conform to the current situation by the equation constraint determined by the power load and distributed power output.We introduce interval number theory to express the optimal scheduling objective function and constraints with uncertain factors.A multi-objective optimization model of microgrid with interval variables is established.Finally,taking the winter heating scene as an example,the principle flow of NSGA-? algorithm is introduced and the concept of interval credibility and interval congestion distance is introduced.Based on NSGA-? algorithm,a kind of micro is applied to solve interval-containing variables.A method for multi-objective optimization problems in the network.The micro-network optimization scheduling results are analyzed by setting different objective function weight coefficients,interval confidence and interval constraint possibilities.Fully tap the role of demand side management in the microgrid to ensure that the operating cost of the microgrid is effectively reduced and the overall energy utilization efficiency of the microgrid is improved.