Abstract

With the rapid development of new energy technologies, distributed power generation technology has attracted widely attention. The advantages of them are small investment, clean and environmental protection, reliable and flexible power supply. They can output (or absorb) continuously adjustable reactive power and participate in the reactive power optimization, which can keep the balance of reactive power and optimize the distribution of reactive power flow. In this paper, firstly, the power flow model of typical distributed power supplies: wind power, photovoltaic power and gas turbine power generation are researched. Then, the distributed power supply as a continuously adjustable reactive power device, combined with the traditional equipment, participate in reactive power optimization. An objective function considering system loss is proposed to find optimal solution. Finally, the IEEE33 node system is used to verification. Results show that the distributed power supply can effectively reduce the system loss and improve the voltage stability. Meanwhile, the effectiveness and feasibility of the improved algorithm are verified. The optimization of this paper is the improvement of genetic algorithm. It can make up for the lack of local optimization ability of genetic algorithm. Compared with the traditional genetic algorithm, the global optimization ability is greatly enhanced.

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