Research on economic benefits of “source, storage and load” in a multi-energy complementary combined cooling-heating-electricity system

In order to solve the randomness and volatility of new energy power generation, promote local consumption renewable energy, maximize economic efficiency CCHP system, this paper combines schedulable resources production, storage into a “source storage” which can meet demand supply, heating cooling at same time. The objective function is minimize daily operation cost cold heat electric hybrid balance equipment capacity system are constrained. Using established mathematical model framework, particle swarm optimization algorithm used improve programming obtain adaptation curve hourly output optimal with maximum benefit. maintenance costs two modes analyzed in depth. results show that load” not only improves reliability but also reduces benefits system.