Research On Economic Dispatch Strategy Of Microgrid With Combined Cooling,Heating And Power

With the development of social economy,people’s demand for energy is increasing,and the resulting problems of energy shortage and environmental pollution are also becoming more and more serious.Meanwhile,the emergence of the combined cooling,heating and power system provides a new research direction for solving the uneven distribution of energy and efficient use of energy.The combined cooling,heating and power system is a micro integrated energy system derived from the concept of micro-grid.It can meet the power demand and cooling and heating demand of users simultaneously through the cascade utilization of energy.The combined cooling,heating and power system has received extensive attention and research due to its close proximity to users,high reliability of energy supply and high energy utilization rate.This paper studies and analyzes the structure,operation strategy,demand response and algorithm solution of the cogeneration system,and puts forward a scheme that can effectively improve the economic operation of the system.The main research contents are as follows:Firstly,the research background and domestic and foreign research status of the combined cooling,heating and power system are introduced,and the internal energy flow rules of the system are expounded.A system architecture including clean energy such as wind power,photovoltaic and geothermal resources has been established.At the same time,the mathematical model and operation characteristics of the main equipment in the system are introduced in detail.Then,from the perspective of fuel consumption,environmental governance,equipment maintenance and power grid interaction,the economy of the operation strategy of the combined cooling,heating and power system is analyzed.With the goal of minimizing the total operating cost,this paper establishes an economic dispatching model,optimizes the equipment output,and analyzes the economy of the system under three operation strategies of following the thermal load,following the electric load and hybrid operation.Aiming at the problems of low accuracy and easy to fall into local optimum of the original artificial bee colony algorithm,this paper adopts the improved artificial bee colony algorithm to solve the economic scheduling model,and verifies the superiority of the improved artificial bee colony algorithm by comparing the test function and the actual example with the original artificial bee colony algorithm,particle swarm algorithm,whale algorithm and firefly algorithm in detail.Finally,the economic scheduling problem of the cogeneration system is studied from two angles of equipment output and load control.The implementation of time-of-use electricity price measures is conducive to the stable operation of the system.However,users are prone to excessive behavior under price stimulation,resulting in the phenomenon of reverse peak-to-valley difference,which reduces the stability of the system operation.Therefore,this paper proposes a two-stage optimal scheduling scheme considering demand response,aiming at the lowest system operating cost and maximum user satisfaction,and divides the system operation into two optimization problems of demand and supply.In the first stage,combined with user satisfaction,from the point of view that users are prone to excessive behavior under the time-of-use electricity price measure,the user-side cooling,heating and power demand curve is optimized.In the second stage,an economic dispatch model aiming at the minimum total operating cost is established,and based on the demand curve optimized in the first stage,the optimal equipment output scheme is solved by an improved artificial bee colony algorithm.Through the established multi-scenario analysis,the two-stage scheduling scheme is superior in improving system stability and reducing operating costs.