| With the rapid development of economy and society,promoting the construction of lowcarbon and green energy system has become one of China’s major strategic decisions facing the21 st century.Against this background,regional integrated energy system(RIES)became the research priority in energy engineering field because of its advantages on energy efficiency,energy saving and emission reduction.The development and application of RIES have solved the problems of low energy efficiency and serious pollution in traditional energy system.However,the optimization design for RIES has met new challenges with the development of demand response mechanism as well as the deepening of the coupling degree among cold,heat,electricity,gas and other heterogeneous energy.The study on how to scientifically and reasonably incorporate the user-side demand response resources into the optimization scope of RIES while giving full play to the flexible coupling and multi-energy complementarity characteristics on the supply-side,so as to realize the collaborative optimization of demand response strategy,installation configuration and operation strategy,has become a key technical problem in the optimization design of the RIES at the present stage.Aiming at the above key technical problems,the concept of demand response in electrical system is extended to the cooling load and heat load in RIES,and an optimal design method of RIES considering demand response for multiple types of energy is proposed in this paper.In order to realize the unified integration and optimal allocation of demand response resources,the flexible load on the user-side are divided into three categories: translatable,dispatchable and reducible load.Then,this paper establishes a multi-objective RIES model considering demand response,which takes the economic benefit and energy utilization efficiency as the objective function.The model is divided into the demand response module on the user-side and the energy hub module on the energy supply-side,which is established through individual modeling method.Finally,the NSGA-II-DE is used to solve the model,obtaining the optimization results of the equipment installed capacity,operation strategy as well as demand response strategy.This paper takes a multiple comprehensive industrial park in south China as the research case and uses the established optimization model to design the RIES.The relationship between annual operating cost and comprehensive energy efficiency is analyzed in the part of data,simulation results and analysis under three different modes,which respectively are optimization without demand response(NO-DR),optimization considering power system demand response(E-DR),and optimization comprehensively considering demand response of cold-thermalelectric energy network(E-T-C-DR).The result shows that the user-side demand response considering cold-heat-electricity load can reduce the total cost of RIES by 3.63% and he peak-to-valley ratio of electric load by 58.95%,while the comprehensive energy utilization rate of the park is increased from 75.31% to 78.49%,which verifies the reliability of the optimized model.The model can provide theoretical basis and technical guidance for designing the optimal equipment installed capacity,operation strategy as well as demand response strategy. |
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