Optimization Research of AC/DC Power Grid Considering Complementary Characteristics of Multiple Power Source

Abstract. With the rapid development of wind power generation and photovoltaic power generation. The power grid stability influence by randomness and intermittence of wind and solar energy more and more serious. Although the hybrid wind/photovoltaic power generation system with energy storage (HPWS) utilize the complementary characteristics of wind and solar energy, it can improve the power generation system output power stability at some level. However, in the long term the development trend of the large HPWS is realizing the HPWS controllable operation and making the HPWS included in the AC/DC power grid scheduling system. Thence the active power control become a key problem of unite power generation system. In this paper, firstly emphatically introduces the quantum optimizing algorithm, analyze principle and advantages of the algorithm. And build HPWS active power optimization model. The aim for power generation most stability using the quantum optimizing algorithm obtain the model optimal solution. It illustrates the important of the optimal scheduling in the HPWS.

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