Research On Optimal Dispatch Of Multi-energy System Based On Uncertainty Of Comprehensive Demand Response

With the increasing coupling degree of various energy sources,it is difficult to meet the operational needs of multi-energy systems by independent planning of power system,natural gas system and thermal system.The multi-energy system depends on the energy center to make it closely related,which is not only conducive to the optimization of the multi-energy system in the aspects of collaborative planning and scheduling operation,but also can effectively improve the overall utilization rate of the multi-energy system.In multi-energy systems,integrated demand response plays an increasingly important role in collaborative planning and scheduling.However,the load side has certain uncertainty factors in the process of participating in the comprehensive demand response.This paper mainly studies the influence of load response uncertainty under energy price incentive measures on the optimal scheduling of multi-energy systems and the optimization of response uncertainty by reasonably mobilizing unit output allocation.The main work of this paper is as follows:The comprehensive structure diagram of multi-energy system is established and its structure is analyzed,the comprehensive demand response characteristics are expounded,the comprehensive demand response model is established by classifying the load response modes,and the comprehensive demand response model is established with energy price incentive as the research object.Based on the establishment of the comprehensive demand response model,the main factors that cause the response uncertainty are studied according to the price elasticity coefficient.The comprehensive demand response model is transformed into the comprehensive demand response uncertainty model by calculation,and the uncertainty model is simulated by particle swarm optimization algorithm.Through the given price elasticity coefficient,the load response curve and the load curve considering the response uncertainty are obtained,and the load response reduction uncertainty curve is obtained after comparison.The optimal scheduling problem of multi-energy system in response excitation is studied.Finally,the optimal scheduling model of multi-energy system considering uncertain comprehensive response is established.The fuzzy opportunity constraint method is used to deal with the load reduction fuzzy quantity considering the uncertainty of comprehensive demand response.Taking the minimum economic cost and environmental processing cost as the optimization goal of the system,the constraint conditions are transformed into clear equivalent classes.A hybrid algorithm based on particle swarm optimization and differential evolution is used to solve the response uncertainty mathematical model.