Research On Models And Methods Of Coordinated Planning Between Wind Farms And Transmission Network

Wind farms'sites and capacities, transmission development planning and other aspects would affect power system's reliability and investment economy. In order to embody wind farms energy saving and emission reduction benefits, it is necessary to maximize integration result of power system reliability, investment efficiency, and environmental effects. This paper does theory research on composite generation and transmission reliability with wind farms, decides wind farms sites and capacities, evaluates transmission planning and investment economy, and promotes coordinated planning between wind farms and transmission network. The following research achievements are obtained:In aspect of composite generation and transmission reliability with wind farms and its capacity optimization, firstly, on the basis of composite generation and transmission reliability theory-and Monte Carlo simulation method, this paper proposes an improved composite generation and transmission reliability assessment fast sampling method based on clustering optimal multiplier vector, which can coordinates optimal multiplier method's results precision and computing time. Secondly, in order to embody diffenence of unit load loss in different fault duration in power system reliability assessment, the load loss cost model based on outage duration is established, which can be applied to power system reliability impact analysis with wind farms. Thirdly, this paper can reasonably simulates the wind speed in different regions and considers transmission network structure and capability, and establishes a optimal model of maximizing wind turbine capacity with several wind farms, which can reflect that benefits of wind turbine integrated in different locations are better than the same location, then the probability method to solve above model based on Monte Carlo simulation is presented.In aspect of evaluating transmission planning and investment capacity optimization with wind farms, firstly, this paper establishes a transmission planning model with wind farms aiming at minimizing transmission investment cost and network loss cost, which could consider wind farm output volatility's influence on power system. In order to solve planning model complexity difficulty caused by wind volatility, piecewise linear strategy is used to simplify wind power output. Then shuffled frog leaping algorithm, discretization processing method and threshold selection strategy are comprehensively used to solve the above model. Secondly, for cross-regional and trans-provincial power transmission investment decision problems, this paper proposes a transmission capacity optimal model considering wind energy benefit, whose objective is to maximize difference value between congestion cost reduced value and transmission investment cost, then analyzes application results of deterministic method and probabilistic method. In aspect of promoting coordinated development between wind farms and transmission network, firstly, this paper proposes a coordinated optimal model between grid-connected wind farms program and transmission planning, whose objective is to minimize transmission investment, load loss cost, et al. Then the above model is decomposed by Benders decomposition algorithm into two parts, which are investment decision main-problem and operation simulation sub-problem. The modified Benders decomposition algorithm combined with Monte Carlo simulation method and sample average approximation is used to improve the convergence behavior. Secondly, in order to maximize integration result of investment efficiency, power system reliability, and environmental effects, this paper proposes the multi-objective coordinated optimal model between wind farms planning and transmission planning, whose objective is to minimize power system investment and operation cost, load loss cost and pollutant emission. Aiming at solving decision rationality difficulties, the hybrid intelligent algorithm combined with simulation, neural network, and non-dominated sorting genetic algorithmâ…¡is proposed, which could narrow the optimal solution scope by deviations maximization method and technique for order preference by similarity to an ideal solution.In order to solve some new problems appeared in power system planning, this paper systematically carries out research on composite generation and transmission reliability assessemnt and planning with wind farms, and explores models and methods of coordinated optimization planning between wind farms and transmission network based on the biggest social benefits, which has larger theory value and practical significance.