| Study on power capacity optimization of hybrid generation system includingrenewable resources, for example wind/PV power generation system,PV-Wind-Diesel-Battery hybrid microgrid, this paper first introduces themathematical model of all the power sources and also the energy storage unit.Secondly, the complete economic model considering the initial investment,replacement cost and operation and maintenance cost is established. Using geneticalgorithm, the optimal capacity of wind/PV power generation system can be gottento meet the reliability and economic requirements. Based on the given dispatchingstrategy and system constrains such as emission of pollutants and the lack andsurplus of power supply probability, the power resources and energy storageoptimization allocation of standalone PV-Wind-Diesel-Battery hybrid microgrid hasbeen analysed.The capacity and power configuration of battery storage system is not onlyrelated to its working performance, and at the same time its rationality will affectthe economy of the whole system. Therefore, the functional model and economicmodel of battery under certain capacity and power level in grid-connected andindependent renewable generation system has been developed. Considering thesystem constrains and the target of minimum storage configuration cost, theoptimal capacity and power combination can be obtained accurately throughgenetic optimization algorithm. And the relationship among them and performaceindicators as well as costs has been discussed.The power outputs of renewable system are always fluctuant and uncertainbecause of the impact of changes in weather conditions. So we must introduce theenergy storage system to smooth them in order to meet the stabilizing goal orgrid-connected license. The battery storage system has high energy and low powerdensity, so it is suitable to stabilize the small long-term power fluctuations, but itcan not respond to high powers rapidly. On the contrary, the supercapcitor can dealwith intermittent short-term peak power fluctuations. Thus, this paper has studiedthe battery-supercapacitor storage system and its control strategy based on theaforementioned complementary characteristics of the two storage mediums respectively. Compared with single battery or supercapacitor, the complementarystorage system can give full play to the charge and discharge power advantages ofsupercapacitor and meanwhile the energy availability of battery.Finally, this paper detailedly presents the hardware structure and also thedesign and function of background monitoring software, which are applied to theconstruction of PV-battery experimental platform in energy storage laboratory ofHFUT. Through this platform, the static and dynamic features of battery can besimulated. Also the PV power fluctuation smoothing experiment based on low passfiltering algorithm has been carried out. |
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