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Multi-objective Dynamic Economic Dispatch Of Isolated Microgrid Based On Chance Constrained Programming

Posted on:2019-03-24Degree:MasterType:Thesis
Country:ChinaCandidate:X J ZhaiFull Text:PDF
GTID:2322330545992028Subject:Electrical engineering
Abstract/Summary:PDF Full Text Request
In recent years,distributed generation?DG?has attracted more and more attention.As an effective way of access to integration of DGs,the optimal of a microgrid?MG?can effectively improve energy efficiency and reduce the cost of power generation and emission of pollutants.Therefore,DG is of great significance to economic,environmental protection and reliable operation of the microgrid.In this paper,the subject was composed of photovoltaic?PV?,wind turbine?WT?,micro turbine?MT?,storage battery?SB?of MG.A multi-objective dynamic economic scheduling model based on the chance-constrained programming is established,due to the existence of intermittent distributed power sources such as photovoltaic and wind power.The traditional chance-constrained is difficult in transforming into deterministic constraints,so the sequence operation theory of the mathematics is used.According to the distribution function of wind and photovoltaic power to get their generated probabilistic sequences,then both output will be obtained by volume and operation of probabilistic sequences.Finally,the chance-constrained can be transformed into deterministic constraints.The multi-objective model considering the micro-economy and environmental protection of the system operation is established.The different method is chosen according to the model dimension is the same or different.When the dimensions of sub-objectives are different,the membership function of each objective function is constructed by fuzzy processing.Then the maximum satisfaction index method is used to transform the multi-objective problem into a single objective problem,which is solved by improved ant colony algorithm.Finally,the start-stop status of each unit is gotten in the optimal environment.And the method proved to be effective.Another model was established,and the total objective function of this model is the total cost of microgrid operation,which contains operating cost of the unit,the processing cost of CO2 emitted by the unit during operation and the processing cost of SO2 emitted.But the dimensions of the three sub-objectives functions are the same.Therefore,the multi-objective function can be transformed into a single objective by adding weight before each sub-objective function.Weight is determined by analytic hierarchy process?AHP?.Finally,the single objective function is solved by using the TOMLAB optimization tool.And the optimal objective of micro-grid operation and the output force of each unit in the optimal objective are gotten.
Keywords/Search Tags:microgrid, multi-objective optimization, chance-constrained programming, fuzzy processing, analytic hierarchy process(AHP)
PDF Full Text Request
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