Economic And Environmental Dispatch Of Combined Heat And Power System Based On Improved MOBCC Algorithm

With the continuous progress of science and technology and the constant development of economy and society,mankind’s demand for energy and resource has grown rapidly,and the resulting problems of energy depletion and environmental degradation have become increasingly severe and threatened the survival and development of mankind.Therefore,it is necessary to carry out researches related to the economic and environmental dispatch of combined heat and power system.The main contents of this paper are as follows:Firstly,the related concepts of multi-objective optimization problems and multi-objective optimization algorithms are introduced,the framework of multi-objective optimization algorithms based on Pareto dominance and the basic principle,specific process of multi-objective bacterial colony chemotaxis algorithm are explained.Also,the limitations of multi-objective bacterial colony chemotaxis algorithm including poor search ability,poor convergence and weakness in meeting the requirements of the diversity and distribution of solution set when solving multi-objective optimization problems are analyzed.Secondly,an improved multi-objective bacterial colony chemotaxis(MOBCC)algorithm based on Pareto dominance and an improved constraint handling method based on constraint violation index are proposed,by which the multi-objective optimization problems are solved more effectively,and the relationship between different constraints is weighed effectively and the constraints are gradually satisfied in the convergence process of multi-objective optimization.The improved MOBCC algorithm is compared with 3common multi-objective optimization algorithms on 15 multi-objective test problems and evolution of optimization,and the effects of bacterial colony size and maximum number of iterations on the performance of the improved MOBCC algorithm are analyzed.The test results verified that the improved MOBCC algorithm has superior performance on convergence,diversity of solution set,time efficiency and convergence speed.Finally,the economic and environmental dispatch model of combined heat and power system is established.An improved multi-objective decision-making method based on the relationship between objective satisfaction and objective weights is proposed,by which the preferences of decision makers are better met.The case studies verify that the economic and environmental dispatch of combined heat and power system can achieve a compromise between the optimal economic and environmental objectives of combined heat and power system,thus realize the optimal operation of combined heat and power system.Wind turbines,electric boilers and heat storage devices can reduce the total cost and total air pollutant emissions,and achieve more optimal operation of the economic and environmental objectives of combined heat and power system.Energy conversion devices and heat storage devices can guarantee higher consumption ratio of new energy,alleviate the abandonment of wind energy and solar energy in the "Three North" area,and solve the problem of new energy curtailment.The dynamic economic and environmental dispatch of combined heat and power system ensures the realization of the thermo-electrolytic coupling.