Research On Physical Modeling Of Wind-PV-ES System

In recent years, more distributed power generation system has been developedrapidly to meet future electricity demand growth, since restrictions on expansion oftraditional centralized generating and delivery systems have become so tight.However, application of individual distributed generators which is random anduncontrollable can cause many problems, a better way to resolve those problems isto take a system approach which views generation and associated loads as amicrogrid. A typical microgrid is formed by the interconnection of distributedgeneration (DG)，together with energy storage systems (ESS) and controllableelectric loads at low voltage distribution systems, Microgrid is considered as thedevelopment trend of the electrical industry in the future.However, the distribution network construction in China is relativelybackward, there is a big gap between the development process and the requirementof distribution network. For the current distribution network, both in the structureor the control methods and other aspects, the new energy equipment access systemis a lack of consideration. Therefore, it is necessary to develop new energyequipment system simulation technology research，t to provide technical supportplatform for the future the development of distribution network.To resolve the problem that Wind-photovoltaic-energy storage (Wind-PV-ES)hybrid power system cannot be achieved in the laboratory, a novel physicalmodelling method which combines power electronic devices and computersimulation system to simulate the actual Wind-PV-ES system is proposed, and anew energy device physical simulation technology is studied. First, a physicalsimulation platform which contains wind system, photovoltaic system, energystorage system as well as distribution network system is established，and then thesystem modelling methods and control strategies for Wind-PV-ES system areanalysed.At last, the function of Wind-PV-ES system is simulated in dynamicsimulation lab，and the experimental results are presented and analysed to validatethat the proposed physical model and control strategy are effective.