含风_光_柴_蓄及海水淡化负荷的微电网容量优化配置_张建华

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1、2014年2月电工技术学报Vol.29No.2第29卷第2期TRANSACTIONSOFCHINAELECTROTECHNICALSOCIETYFeb.2014含风/光/柴/蓄及海水淡化负荷的微电网容量优化配置张建华于雷刘念肖锐（新能源电力系统国家重点实验室(华北电力大学)北京102206）摘要多种能源互补的微电网供电模式，是解决未来海岛供电问题的有效途径之一。根据海岛用水需求及海水淡化系统的特点，综合考虑系统运行的经济性及环境效益，提出了协调海水淡化负荷、蓄电池及柴油发电机运行的功率分配策略。在此基础上，提出了含风/光/柴/蓄及海水淡化负荷的微电网多目标容量优化配置模型，建立

2、了含系统投资运行成本和可再生能源利用比例的目标函数，构造了考虑微网、储能及柴机运行特点的约束条件，并采用自适应多目标差分进化算法进行求解。最后，以某地区海岛微电网为实例，通过建模、求解及分析，结果验证了所提优化配置方法的有效性，为海岛微电网的规划设计提供了理论依据和技术支撑。关键词：微电网海水淡化可再生能源容量配置中图分类号：TM715CapacityConfigurationOptimizationforIslandMicrogridwithWind/Photovoltaic/Diesel/StorageandSeawaterDesalinationLoadZhangJian

3、huaYuLeiLiuNianXiaoRui（StateKeyLaboratoryforAlternateElectricalPowerSystemwithRenewableEnergySourcesNorthChinaElectricPowerUniversityBeijing102206China）AbstractThepowersupplymodeofislandmicro-gridwithavarietyofcomplementaryenergyisoneofthemosteffectivewaystosolvetheproblemoffutureislandpower

4、supply.Basedonthecharacteristicsofwaterdemandofislandresidentsandseawaterdesalinationsystem,apowerallocationstrategyforseawaterdesalinationload,storagecellanddieselgeneratorisproposedwiththeoverallconsiderationoftheeconomicandenvironmentbenefitsofsystemoperation.Furthermore,amulti-objectivec

5、apacityconfigurationoptimizationmodelfortheislandmicrogridwithwind/photovoltaic/diesel/storageandseawaterdesalinationloadisalsoproposed.Itfirstestablishestheobjectivefunctionsofsystemoperationcostandutilizationrateofrenewableenergy,andthenconstructstheconstraintswiththeconsiderationoftheoper

6、ationcharacteristicsofstoragecellanddieselgeneratorandpowersupplyreliabilityetc.,andsolvestheproblemusingself-adaptivemulti-objectdifferentialevolutionalgorithm.Finally,theislandmicro-gridinacertaindistinctistakenasanexampletostudy.Theresultsshowtheeffectivenessoftheproposedconfigurationmeth

7、od,providingthetheoreticalandtechnicalbasisfortheplanninganddesignofislandmicrogrid.Keywords：Microgrid,seawaterdesalination,renewableenergy,capacityconfiguration国家自然科学基金资助项目（51277067）。收稿日期2013-12-10改稿日期2014-01-10第29卷第2期张建华等含风/光/柴/蓄及海水淡化负荷的微电网容量优化配置