Distribution Network Stochastic Planning Including Distributed Generation

A large number of DG installed and operated in distribution network, is an effective way to deal with the energy crisis and environmental pollution. Due to DG’s access will have great impact on the choice of distribution network planning scheme and the safe operation of the distribution network. Then, DG’s site and size will have directly impact on the reliability and economy of the operation of the distributed network. Therefore it’s necessary to carry out DGs planning.This paper describes the current status in this field. From of them, Some of mathematical models have not considered the characteristic of the output power of the different type of the DGs. In addition to this, these models aren’t able to coordinate the relationship between the utility and the DGs investors.According to the importance of DG’s location and capacity in distribution network in the optimization containing DG, this paper build the DG’s siting and sizing optimization model to the minimum network loss as the goal considering the different type of DG’s output power and proposing the optimization principle of DG’s location. To solve the model, this paper adopts improved adaptive genetic algorithm.To coordinate the profit between the utility and the DGs investors, considering the load forecast value and the output power of the part type DG, this paper adopt a random variable representing this uncertainties. Base on the distribution network operation cost, this paper introduce power generation environmental benefits of DGs as a coordinated factor and build the stochastic optimization model of distribution network planning containing DG based on the chance constrained programming model. To solve the model, this paper adopt DGs stochastic power flow to calculate the constraint inspection and apply improved adaptive genetic algorithm based on hybrid coding.Examples show that the DG’s siting and sizing optimization model proposed can improve the adaptability for the future of the optimal scheme, the distribution network planning model proposed can coordinate the profit between utility and DG investors to help to solve the interaction between the utility and the DGs investors.