Abstract
Distributed generation (DG) is considered to be a very promising alternative of power generation because of its tremendous environmental, social, and economic benefits. But the randomness and intermittent of DGs brings new problems to the system. This paper analyzes the reactive power optimization problem of distribution network with correlative DGs based on scenario analysis method. A new scenario division rule according to the joint distribution function of wind-PV power outputs is proposed in the paper. Then a multi-objective reactive power optimization model whose objects include the minimum active power losses, the minimum voltage deviation and the maximum static voltage stability margin is established. Non-dominated sorting genetic algorithm-II is used to solve the model. At the last of the paper, the model and the algorithm proposed are verified with an improved IEEE 33-bus system. The results show that the model will be a reference to the reactive power optimization problem in distribution system.
Highlights
IntroductionDistributed generation (DG)’s advantages of being environmental friendly, low-cost and layout flexible have drawn considerable attention in recent years, making them be a very promising alternative of power generation
Distributed generation (DG)’s advantages of being environmental friendly, low-cost and layout flexible have drawn considerable attention in recent years, making them be a very promising alternative of power generation.But the randomness and intermittent of their outputs bring new problems to the safety and stability of power system, which means the traditional control methods of power system such as the reactive power optimization need some new research[1,2,3,4].This paper studies the reactive power optimization problem of distribution network with correlative DGs
Non-dominated sorting genetic algorithm-II (NSGA-II) algorithm is good at dealing with multi-objective optimization problem
Summary
DG’s advantages of being environmental friendly, low-cost and layout flexible have drawn considerable attention in recent years, making them be a very promising alternative of power generation. The randomness and intermittent of their outputs bring new problems to the safety and stability of power system, which means the traditional control methods of power system such as the reactive power optimization need some new research[1,2,3,4].
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