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Research On Microgrid Energy Management Strategy Based On Demand-side Response

Posted on:2020-05-13Degree:MasterType:Thesis
Country:ChinaCandidate:H LiuFull Text:PDF
GTID:2392330578464100Subject:Electrical engineering
Abstract/Summary:PDF Full Text Request
With the rapid development of social economy,the demand for electric power is increasing gradually.There are many drawbacks in traditional centralized generation of electric power,which can not adapt to the development of the times.Microgrid technology has been developed and applied.However,due to the intermittent nature of renewable energy generation,only considering the dispatching of generation side and ignoring the potential of users to participate in dispatching,there will be power imbalance and reliability reduction in the microgrid.How to optimize the allocation of each unit of the microgrid system more effectively and rationally,reduce its operation cost and emission of polluted gases to improve the economic and environmental protection of the microgrid system is an urgent problem to be solved by modern electric power system.In this paper,energy management and optimal allocation of microgrid are studied.The main research contents are as follows:(1)The system architecture of "source-load-storage" microgrid is established.The working principle and power output model of photovoltaic array,wind turbine,micro-gas turbine,storage battery and other power generation units in microgrid are studied.And the load model is established according to the load level.Then the layered energy management strategy of microgrid is proposed,and the corresponding micro-source scheduling strategy is proposed for different operation modes of microgrid,which lays the foundation for the follow-up research of microgrid energy management.(2)Aiming at the utilization of renewable energy,this paper establishes a demand-side resource layer optimization management model.Demand-side resource layer establishes an optimal management model based on the response characteristics of transferable loads with the objective of minimizing net-load of microgrid system.It makes use of demand response technology to make the load curve close to renewable energy generation curve in time sequence and make effective use of energy.The energy management of demand-side resource layer combines with the charge and discharge strategy of the energy storage device.(3)In order to improve the performance of microgrid,an optimization model of microgrid layer is established in this paper.The energy configuration of the microgrid layer is an optimal scheduling problem with multi-objective and multi-constraint.The objective function of the multi-objective optimization configuration model of the microgrid energy in this paper includes the operation and maintenance minimum,pollution emission and energy utilization rate;The operating requirements and the characteristics of each power generation unit are formulated,and the corresponding constraints are formulated.Finally,the Non-dominated Sorting Genetic Algorithm-II(NSGA-II)is used to solve the microgrid optimization model.The microgrid optimal scheduling layer mainly formulates the microgrid operation plan according to the power prediction,rationally dispatches the micro-sources,and improves the new energy utilization rate.Under the premise of fully considering the demand-side load satisfaction and battery loss,the operation performance of the microgrid system can reach an optimal state.(4)The simulation analysis of the example is carried out by using the Matlab simulation platform.The simulation results prove that the demand side response technology in the microgrid energy management is superior.Through the simulation analysis of multi-objective optimization operation of microgrid system under different operation modes,it can be confirmed that the proposed microgrid energy stratification management strategy improves the operational economy and environmental protection of the whole system.The research on microgrid energy management strategy is very important to improve the reliability of microgrid power supply and reduce the waste of economy and energy.
Keywords/Search Tags:microgrid, stratified management strategy, demand-side response, multi-objective optimization, NSGA-Ⅱ
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