Interval Economic Dispatch Of Power System Considering Wind Power Penalty Cost

In recent years,with the problem of energy consumption and environmental pollution,it is imperative to seek renewable energy.As a kind of clean and renewable energy with abundant reserves,wind energy has important strategic significance for its rational development and utilization.Wind farm output is highly uncertain.With the continuous expansion of wind power grid scale,the adverse impact on grid operation will increase.Therefore,more accurate modeling of wind farm output and power system economic dispatch is conducive to the security and stability of power grid operation.This paper considers the uncertainty of wind power.Firstly,wind speed is described by interval theory,and then,analyze the law of change of wind speed and obtain wind speed interval model;Secondly,according to the functional relationship between the wind power output and the wind speed,the interval model of the wind power output is obtained;Then,an interval economic scheduling model considering wind power uncertainty is established.Considering the valve point effect of the thermal power unit in the model,the objective function is smoothed by the cohesive function to simplify the model;Finally,according to interval matching and interval extremum theorem,the nonlinear uncertain scheduling model is transformed into two deterministic optimization models,and the parameter-adjusted particle swarm optimization algorithm is used to solve the optimal value.Further consider the dynamic economic dispatching that takes into account the penalty cost of wind power.First,establish an economic dispatch model including the fuel cost of the thermal power unit and the penalty cost of the wind power section;Then,considering the upper and lower limits of the wind power output,using the uncertainty constraint transformation based on the interval probability,it is judged whether the actual wind power output meets the given interval possibility level;Finally,the NPSO(niche particle swarm optimization)is used to speed up the optimization process and improve the search accuracy while avoiding the result falling into the local solution.The results in IEEE39-bus system with one wind farm indicate the reliability of model and practicality of method.The influence of different factors on grid dispatching is analyzed,which provides theoretical basis and practical significance for large-scale wind power grid integration.