Intelligent Reconfiguration for Distributed Power Network with Multivariable Renewable Generation

Abstract

Multiple types of renewable distributed generation (RDG) connecting to the distribution network brings randomness to power system, which have effects on voltage stability and losses of distribution system. However, the traditional distribution planning methods cannot give consideration to both RDG capacity and installation position under various load levels. This paper proposed a fireworks optimization algorithm to obtain optimal reconfiguration of radial distribution systems with the smallest network loss (active power loss) and the maximum voltage support effect simultaneously. This algorithm can reconstruct the network and take the different RDG capacities and installation sites into overall plan. Firstly, the mathematical probability models on wind power and photovoltaic cell are established in order to consider the uncertainty of RDG. Secondly, the network switch combination added with different RDG capacities and locations are regarded as variables introduced into the fireworks algorithm. Under the consideration of various RDG operation scenarios and different load levels, the optimal sizes and positions of RDG in optimal distribution system structure can be searched by the algorithm finally. The simulation results in PE& G 69-bus system indicate the proposed method can satisfy the constraints of stable operation. In comparison of the planning only consider RDG capacities or just RDG positions, its economical superiority is well verified.