Distribution Network Planning With Dispersed Wind Farm And System Development

The smart grid is the development direction of modern power grid, which requires the future distribution network to accept the dispersed wind farm freely. And the dispersed wind power generation had gained a lot of attractions in the power sector, due to its ability in power loss reduction and pollution reduction, voltage distribution improvement reliability augment and so on. On the basis of summarizing the research status at home and abroad, though the traditional network planning involves substation planning, load forecasting and so on, this thesis focuses on the factors such as economy, technology and environment, and the distribution network planning including dispersed wind power generation is studied.This thesis firstly analyzes the influence on network distribution, network power loss, system reliability and the impact of power distribution network caused by the dispersed wind power generation, and we get the impact of power distribution network planning caused by different location and capacity of dispersed wind power generation.Then this thesis analyzes the influence on power distribution network planning caused by different location and capacity of dispersed wind farm. The mathematical model for the optimal configuration of dispersed wind power generator focuses on a lot of factors, such as dispersed wind farm investment and operation cost, environmental benefits, the cost of distribution network power loss, which considers the safe operation of distribution network as the constraint conditions. And we could search the location and capacity of dispersed wind farm on some distribution network on the basis of the bacterial colony chemotaxis algorithm. The feasibility and fast convergence speed are verified by the simulation.Then this thesis analyzes the distribution network expansion planning including dispersed wind farm on the conditions of new load nodes. Bi-level optimization model is introduced in the thesis. The upper planning determines the network construction of distribution network, and the lower planning determines the optimal configuration of dispersed wind farm on the basis of the upper planning conclusion. The lower model searches the optimal conclusion on the basis of hybrid genetic algorithm and particle swarm optimization algorithm. We repair the infeasible solution which caused by the distribution network reconfiguration, on the basis of the topological analysis in the form of matrix and graph theory, and we apply the two optimization algorithms to slove the problem of the bi-level optimization model. The feasibility of the distribution network planning bi-level problem and the effectiveness of the algorithm are verified by the simulation.According to the characteristics of distributed wind power and power distribution network planning, this thesis designs the database and functional module of distributed network planning including dispersed wind farm software, which is based on VB.NET, SQL Server, and ArcGis. The software function is verified by the situation of distribution network in some area in Liaoning, and we achieve good results.