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Research On Bi-level Optimal Allocation Model Of Regional Integrated Energy System

Posted on:2022-01-31Degree:MasterType:Thesis
Country:ChinaCandidate:D D ChenFull Text:PDF
GTID:2492306569995429Subject:Electrical engineering
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With the increasing attention to environmental and energy issues,the integrated energy system has attracted more and more attention.The coupling of different forms of energy improves the efficiency and flexibility of energy supply,and helps to realize the large-scale utilization of renewable energy,but it brings difficulties to the configuration planning.The problem of optimal allocation is a basic problem in the study of regional comprehensive energy system.This thesis introduces the current development and research status,and builds the output model of main energy conversion equipment and energy storage unit including wind power.This paper introduces the concept of energy hub,and introduces the standardized matrix modeling method and its advantages over traditional methods.On this basis,the energy hub model of ries is established,which can directly reflect the multi-energy interaction of the system,and lay a theoretical foundation for the analysis of energy flow relationship in the following contents of the paper.A bi-level optimization planning method is proposed,which is divided into operation strategy optimization and capacity allocation optimization.This method jointly determines the optimal generation,conversion and transmission of electricity,heat and cold load.For the internal optimization,the model of each energy conversion equipment and the efficiency relationship are established,and the power balance constraint equation of various energy sources is constructed,and the optimization objective is to minimize the annual operation cost.In order to improve the speed of solution,the constraints are linearized.For the external optimization,the capacity of each equipment is taken as the constraint condition,and the equal annual value of investment cost is taken as the objective to establish the objective function to be optimized.Through the iterative process between the inner and outer layers,the optimized results are obtained.The effectiveness of the proposed method is verified by several examples,and the process,results and analysis of the capacity planning of multi energy collaborative equipment in the integrated energy system are given.The results show that the integrated energy system can effectively reduce the load difference between peak and valley and increase the primary energy utilization efficiency and overall economic benefits through energy storage and multi energy coordination.
Keywords/Search Tags:integrated energy system, capacity planning, genetic algorithm
PDF Full Text Request
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