| With the high attention among the world paid to both environmental protection and energy conservation, emissions reduction, DG (distributed generation) get the great importance facing of society and rapid development. DG gives full play to the role in power grid, and interactive response of energy management in the power supply side and real-time electricity price in the demand side are mobilized to achieve the goal of coordinated optimization of scheduling.In this paper, DG coordination optimization scheduling research status is analyzed. By consulting the domestic and foreign related research literature, related research present situation applied in DG coordinated optimization scheduling is summarized, and its application features and inadequate are analyzed. Through reading relevant literature, power supply side coordination scheduling model is established. The model includes wind power model, photovoltaic power scheduling model, miniature gas turbine (cold, hot and electric) scheduling model battery model, and fuel cell model, etc. The response model of demand side is established, considering the real-time electricity power grid based on load rate, time-sharing electricity price, ladder electricity price, interruptible load, etc. Get the comprehensive target function of each DG scheduling strategy and microgrid optimal economic in the microgrid economy operation. Analyzed the application of quantum particle swarm optimization(QPSO) in optimization problem, and proved that QPSO for solving multimodal function optimization, optimization performance was better than the particle swarm optimization(PSO). QPSO is applied in DG coordination optimal scheduling practice in the study case, considering both microgrid grid-connected arid islanded operation state, realizing the unit active power economy optimization in power supply side, minimum user electricity expenses in demand side, the optimal scheduling results gained, and achieved economic and optimal operation of the whole network. |
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