Research On Optimization Scheduling Of Combined Cooling Heating And Power Based On Imperialist Competitive Algorithm

With the rapid development of science and technology in today’s human society,fossil energy scarcity and environmental pollution control have gradually become important factors restricting the development of China’s energy strategy,so energy saving technology and solving environmental protection problems have been the focus of China’s economic development.Traditional centralized energy supply methods have gradually failed to meet the complex needs of China’s sustainable development,while the combined cooling,heating and power(CCHP)system,because of its efficient energy conversion efficiency and power generation methods,can flexibly regulate the three energy flows of electricity,heat and cold to meet the supply of different energy forms,while at the same time CCHP has become one of the important research trends in today’s energy field because of its high energy conversion efficiency and power generation method,which can flexibly regulate the energy flow of electricity,heat and cooling to meet different energy supply problems,and at the same time,by relying on renewable energy sources,it emits less pollutants and can be effectively combined with microgrid systems to achieve better results.This paper firstly describes the research and development status of CCHP microgrid at home and abroad,introduces in detail the theory of distributed energy generation in microgrid and the specific structure of combined cooling,heating and power supply system,A mathematical model is established for the main equipment in the CCHP microgrid according to its different operating characteristics,Renewable energy sources such as wind turbines,photovoltaic cells;controllable distributed power sources such as gas turbines and fuel cells,etc.according to their different operating characteristics;focuses on The analysis and modeling of absorption chillers and heat exchange devices in the CCHP system;including energy storage devices such as storage batteries,heat storage tanks,ice storage and cooling air conditioners,and electric energy devices such as electric boilers and electric chillers,provides the theoretical basis for the establishment of the following mathematical model for optimal dispatch.Secondly,the background and principle of the Imperialist Competitive Algorithm(ICA)are introduced,for the traditional Imperialist Competitive Algorithm lacks the mutation in the solution process exploration,plus the individual empire has a certain chance to fall into the local optimal solution,so this paper improves the basic Imperialist Competitive Algorithm based on the basic Imperialist Competitive Algorithm,and proposes an Adaptive Revolutionary Probability Imperialist Competitive Algorithm(APICA),which introduces an adaptive adjustment probability of the national revolution.In the search process of the global optimal solution,the scope of the search for the optimal,iteration is increased to prevent the individual empire from falling into the local optimal solution to the maximum extent,which can improve the imperial competition algorithm in both the speed of solution and the accuracy of convergence results.For the economic operation optimization of a single power supply microgrid,a scheduling model is established,considering the operation and maintenance cost of each unit in the microgrid and the cost of environmental management as the objective function,based on the constraints such as the power balance of the electric load,the output status of each equipment,and the state of battery storage.In this paper,the model is solved using the improved imperialist competitive algorithm(APICA)and together with other artificial intelligence algorithms such as genetic algorithm(GA),particle swarm optimization(PSO),and differential search algorithm(DS),the model is solved to determine the power output status of each equipment in the system,and the effectiveness of the algorithm is verified.The use of this algorithm has some significance for the economic optimization of microgrid.Finally,this paper takes a CCHP microgrid with multiple energy storage devices as the research object,introduces ice storage and cooling air conditioner(ISAC)to balance the pressure of the microgrid,and studies the influence of different operation modes of ISAC on the comprehensive benefits of the CCHP microgrid,taking a grid-connected microgrid with wind turbines,photovoltaic cells,CCHP combined supply system,different forms of energy storage devices such as batteries,heat storage tanks,ice storage and cooling air conditioners,and supplementary auxiliary equipment such as The gridconnected microgrid with electric boilers,electric chillers,etc.is used as an example to consider various constraints such as the energy storage characteristics of different energy storage devices,power balance and the operating characteristics of each distributed power source,to establish the objective function of minimizing the economic operating cost and environmental management cost of the microgrid system to optimally dispatch the output of each unit in the microgrid,and to study and compare different operating modes of ISAC and the use of electric chillers for cooling on the comprehensive cost of the microgrid The simulation results are compared and analyzed by APICA algorithm and GA algorithm.The results illustrate the validity and reliability of the optimal scheduling model,and verify that the ice storage air conditioner can significantly reduce the operating cost of the microgrid on the basis of meeting the demand of multiple energy loads,and has better economic and environmental performance.