Particle swarm optimization algorithm for energy scheduling of multiport energy routers with "source-grid-load-storage"
The energy router(ER)can not only achieve a high degree of integration of energy flow and information flow,but also be conducive to power transmission,radiation and comprehensive utiliza-tion,and the research and operation time show that this is based on the economical,safe and reliable operation of the ER.Therefore,on the basis of comprehensive consideration of various economic fac-tors such as photovoltaic power generation cost,utility power purchase cost,and energy storage cost,the economic operation model of＂source-grid-load-storage＂multi-energy complementary system was established,and the energy scheduling optimization scheme of multi-energy complementary system based on particle swarm optimization algorithm was proposed.Simulation analysis and device test,re-lated to the developed seven-port ER applied to a certain area,show that the effectiveness of the sche-duling scheme of the proposed particle swarm optimization algorithm not only reduces the system development and operation costs,but also can be popularized and applied to the multi-energy comp-lementary microgrid system of military islands and reefs,giving full play to the flexible and efficient application characteristics of distributed power sources.
energy routersource-grid-load-storageenergy schedulingparticle swarm optimization algorithm
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