Research On Optimal Scheduling Of Combined Cooling, Heating And Power Microgrid Based On Bee Colony Algorithm

With the rapid development of human economy and society,energy and environmental issues are gaining more and more attention from countries around the world.The traditional centralized energy supply method can no longer meet the needs of sustainable development.Because of its flexible and efficient power generation method,the micro-grid for cooling and heating has a significant advantage in terms of energy saving,emission reduction and energy efficiency improvement.Research on the optimal configuration and operation scheduling of micro-grids for combined heating and cooling also has broad development prospects.Considering the impact and significance of the combined heat and power microgrid on energy and environmental issues,an optimized dispatch model of the combined heat and power microgrid with renewable energy sources is constructed,and related research is done.This paper first introduces the research background and significance of the combined heat and cold power microgrid,summarizes the current research status of the combined heat and power microgrid at home and abroad,and introduces the operation of the combined heat and power microgrid.The operating characteristics and mathematical models of distributed power sources in the combined micro-grid for cooling and heating power are described in detail.An optimal dispatch model of a combined cooling,heating and power supply microgrid including fuel cells,micro gas turbines,absorption chillers,waste heat boilers and energy storage devices is constructed to meet the user's cooling and heating load requirements and the constraints of each micro-source's output.Comprehensively considering the system's fuel costs,operation and maintenance costs and electricity purchase and sale costs,and using bee colony optimization algorithm to solve the model,make full use of its strong global search capabilities,and optimize the solution with the particle swarm optimization algorithm.A comparative analysis of the results was performed to verify the superiority of the bee colony algorithm and the rationality of the model.Finally,considering the impact of pollutant emissions on the ecological environment,an optimal scheduling model of combined cooling and heating power microgrid with economic cost and environmental cost as multi-objective functions was established,and a multi-objective bee colony algorithm based on Pareto theory was proposed as a model solution algorithm.Taking the actual combined cooling and heating power microgrid as an example,the multi-objective bee colony algorithm based on Pareto theory is used to solve the simulation,and it is obtained with the multi-objective particle algorithm based on Pareto theory and the traditional multi-objective bee colony optimization algorithm.The results were compared and analyzed.The analysis results verify the effectiveness of the model proposed in this paper,and show that the multi-objective bee colony algorithm based on Pareto theory can more effectively reduce economic and environmental costs.