Planning Method Of Integrated Energy Station And Its Application In The Pearl River Delta Region

At present,the increasingly serious environmental problems are restricting the development of economy in China.Intelligent,efficient and environmentally friendly integrated energy system(IES)has become more and more important in this context.The integrated energy system can be divided into two parts,which are integrated energy station and power supply network.Among them,integrated energy station is the core of the integrated energy system.Its optimal planning will affect the whole comprehensive energy supply system efficiency.Thus,optimal design method for integrated energy station should be studied firstly before optimal design method for integrated energy system is formed.Planning technologies of integrated energy station are still in the preliminary stage in our country.Therefore,it is necessary to put forwards a mature integrated energy station planning method.In this paper,the main research object is integrated energy station,which is designed to meet the cooling,heating and electrical demand in the concentrated area of city residents,commercial and office buildings.The optimal planning design method is shown below:Through reading and summarizing the literature,a method for cooling,heating demand forecasting is put forward,which is suitable for integrated energy station planning.The method consists of two parts,the calculation method of the maximum hourly demand and the method to obtain the day,quarter and year distribution characteristics of different demand.A case for a commercial-residential mixed area including six buildings in the Pearl River Delta region is given to verify the effectiveness of this method.Based on the results of cold and heat load demand forecasting,The optimal planning design method of integrated energy station is studied,which includes a mathematical model for the equiptment capacity optimization of integrated energy station and a decision-making method.Based on the basic framework of integrated energy station,a mathematical model for integrated energy station capacity optimization is proposed,which considers the economic and environmental benefits,the operation rules for the energy storage devices as well as the yearly operation simulation.An improved Particle Swarm Optimization plus simplex algorithm with feedback design is developed to solve this multi-objective optimization problem,which can generate the Pareto decision surface.The fuzzy ideal decision-making method is adopted to make the final decision.The proposed approach is applied to a practical integrated energy station design for a commercial-residential mixed area in Guangzhou,which includes forecasting result of the cooling,heating demand,the integrated energy station capacity optimization and the choice of the best project.Through the case studying,the effectiveness of the method is verified and the theoretical support for integrated energy station operation and decision-making in the Pearl River Delta regional is provided.