| With the increasingly serious problem of environmental pollution,clean,renewable wind power generation has been supported by the governments of various countries,and large-scale access to the grid,but the anti-peak characteristics of wind power generation and unpredictable characteristics,It presents a higher challenge to the optimal scheduling of the system.As a link between the generation side and the demand side,demand response leads users to change their power consumption habits through the leverage of time-sharing price,and shifts the electricity consumption from peak period to low time to smooth the system load curve.The effect of reducing wind power peak regulation characteristics on wind power absorption is reduced.This paper mainly carries out the research from the following aspects:(1)Based on the analysis of the uncertainty factor of the user side interactive wind power grid connection,the function relationship between wind speed and wind turbine output force is established,and the probability distribution of active power output force of wind turbine unit is derived.The demand response items are divided into two types:price type and incentive type,and the methods of establishing three kinds of price response model are introduced in detail.(2)Considering the user’s experience in the implementation of the price-type demand response project,the user satisfaction is brought into the environmental and economic scheduling,and a multi-objective scheduling model considering the user satisfaction is established,and the model is solved by using the multi-objective gravitation algorithm.The approximate ideal solution sorting method is used to assist the dispatcher to select a scientific and reasonable scheduling scheme.Aiming at the problem that equality constraints are difficult to restrict in scheduling model,a heuristic constraint processing method is used to limit the power balance constraints and reduce the difficulty of solving the model.(3)In this paper,a stochastic dispatching model of pre-day double-layer generation with user-side interaction is established.The upper layer model takes the minimum variance of load as the objective function,and considers user satisfaction constraints and time-sharing price pull ratio constraints.The lower model takes the pollution emission and the minimum generation cost as the objective function,and considers various operating constraints of the system.In view of the randomness of wind farm output force in the model,the stochastic scheduling model is transformed determinedly by combining the probability distribution function of wind power output.The universal gravity algorithm and the multi-objective universal gravity algorithm are applied to solve the lower model respectively.Compared with the conventional dispatching mode,the two-layer dispatching model can reduce the generation cost and pollutant gas emission by 6.2636×10~5Yuan and 0.0416×10~5ton。... |