基于动态回馈修正的独立微电网协调优化调度

In order to make the best use of renewable energy and reduce the frequency of adjustment of the micro gas turbine in stand-alone micro-grid, this paper proposes a novel method of coordinated optimal scheduling based on combined dynamic feedback correction and virtual penalty for exceeding limit. The operating status and adjustment capability of each unit are predicted in advance for short-term scheduling, and a dynamic feedback correction method is suggested to prevent the micro gas turbine frequently changing between start and stop state as well as long-term operation with low power. The power output of other devices is also optimized to minimize the operation and maintenance costs of the micro-grid. The ultra-short-term scheduling is adjusted around the short-term scheduling results, and the wind power curtailment is penalized in order to increase the utilization of renewable energy. A regulation of virtual penalty for exceeding limit power is used to select the micro gas turbine or the battery for compensating exceeded limit power. The simulation results indicate that the proposed method of dynamic optimal scheduling with multi-time levels in this paper can be adopted to reduce the number of start-up and operating time of the micro gas turbine and to increase the utilization efficiency of renewable energy as well as cut down the operation cost of the stand-alone micro-grid.