| Abstract: | With the increasing connection of controllable devices to isolated community microgrid, an economicoperation model of isolated community microgrid based on the temperature regulation characteristics oftemperature controlling devices composed of wind turbine, micro-gas turbine, energy storage battery andheat pump is proposed. With full consideration of various economic costs, including fuel cost, start-stopcost, energy storage battery depletion expense and penalty for wind curtailment, the model is solved byhybrid particle swarm optimization (HPSO) algorithm. The optimal output of the micro-sources and totaloperating cost of the system in the scheduling cycle are also obtained. The case study demonstrates thattemperature adjustment of temperature controlling devices can adjust the power load indirectly andincrease the schedulability of the isolated community microgrid, and reduce the operating cost of themicrogrid. |
