Multi-objective Optimization Of Heat And Power Resources Dispatching System

Combined Heat and Power(CHP)has become an efficient and environment-friendly way to provide urban heat and power,which is widely used in the world.It can improve the utilization rate of energy and reduce pollution greatly.How to optimize the dispatching of resources has become a research focus in CHP system.This dissertation focuses on two different models and transforms the actual problems of supplying heat and power in the city into basic mathematical models.The evolutionary algorithms are used to optimize the resource allocation in the energy supply process,and the following aspects are studied in depth:1.Establish a Combined Heat and Power Economic Emission Dispatch(CHPEED)optimization model,and an Indicator & crowding Distance-based Evolutionary Algorithm(IDBEA)is proposed for solving this model.The CHPEED model is an optimization model with multi-constraint and multi-objective.In this optimization problem,there are two minimization objectives with multi inequality and equality constraints.In this dissertation,three types of standard experimental systems are established,namely four units,five units,and seven units.This dissertation analyzes the performance of the proposed algorithm IDBEA on three experimental systems.Experiments show that IDBEA has better diversity and convergence,and it is more effective than other classical evolutionary algorithms in solving CHPEED.2.Establish a Combined Cooling Heating and Power Economic Emission Dispatch(CCHPEED)optimization model,and the Generalized Differential Evolution 3(GDE3)is used to solve CCHPEED model.There are three optimization objectives in this model,and multi equality and inequality constraints are added according to the actual situation.For different types of buildings,this dissertation establishes different decision strategies under three scenarios,which are used to allocate resources and provide cold,heat and power reasonably.Through experimental verification,GDE3 not only has less execution time and high efficiency than the other evolutionary algorithms but also can get make the dispatching scheme more reasonable,which is more suitable for solving CCHPEED.3.Implement the heat and power dispatching system.In order to perform the mathematical model,a jMetal-based heat and power dispatching system is implemented in this dissertation.At the same time,the adaptive shrinking rule(ASR)is implemented to solve the equality constraints,which is very necessary for solving optimization problems with equality constraints.