Combined Heat And Power Systems Economic And Emission Dispatch For Promoting Wind And Solar Powre Consumption

With the development of the global economy,the demand for energy is also increasing.Coal,as the most important primary energy,still occupies an absolute dominant position in the global energy structure.However,more and more attention has been paid to the global warming and environmental pollution caused by the emission of polluting gases from coal combustion.How to improve the utilization efficiency of primary energy such as coal and how to develop and utilize new non-polluting energy sources has always been a problem that global energy scientists are exploring.First,this paper addresses the above issues with the goal of economy and environmental protection.This paper is considered the valve point effect and transmission loss,then establish combined heat and power economic and emission dispatch(CHPEED)model with power-only units,combined heat and power(CHP)units and heat-only units.The model of CHPEED achieves optimal economics and minimal emissions of pollutants by distributing the output of different units.In order to promote the consumption of wind and solar power,and to break the coupling relationship between heat and power generation units of heat and power cogeneration units,this paper constructs a new cogeneration system containing wind power units,photovoltaic units,electric boilers and heat storage devices,.Furthermore,a CHPEED model to promote wind and solar power absorption is proposed.Secondly,in order to solve the above model,this paper proposes a two-stage multi-objective optimization decision-making method.In the first stage,the Pareto optimal solution set of the model is obtained by the ?-dominated evolutionary algorithm,and the convergence and distribution of the algorithm are evaluated by the inverted generational distance and spread index.In the second stage,a comprehensive compromise method combining fuzzy C-Means(FCM)clustering and grey relation projection(GRP)is used to select the appropriate compromise solution from the Pareto optimal solution set.In this stage,the membership degree of each sample point to all class centers is obtained by FCM optimization objective function,so that the class of sample points can be determined to achieve the purpose of automatic classification of sample data.Then the GRP is used to evaluate the relative projection belonging to the same category to automatically select the optimal compromise solution reflecting the different preferences of decision makers.Finally,the model and the proposed method are simulated and validated by three simple and complex examples.The results show that the model not only has good economy and environmental protection,but also can effectively promote the absorption of wind and power solar.At the same time,the proposed multi-objective optimization decision-making method can not only obtain Pareto optimal solution set with good distribution and convergence,but also provide the optimal compromise solution reflecting the different preferences of decision makers.