Summary about Optimal Power Flow of Power System with Wind Farm Iteration

Qian Wang; Xue Shen; Ran Li

doi:10.4028/www.scientific.net/AMR.953-954.557

Paper Titles

Distributed Wind Power Integration Operation and Impacts on Regional Power System
p.533

Bi-Objective Short-Term Operation Model for Wind Power Penetrated System
p.537

Optimization Method of Reactive Power Generation in Wind Plant Based on DE Algorithm
p.543

Research on a New Method to Achieve LVRT for Wind Farms by Short-Circuit Test
p.552

Summary about Optimal Power Flow of Power System with Wind Farm Iteration
p.557

A Probabilistic Load Flow Method Based on Markov Chain Wind Power Prediction
p.561

Discussion of Doubly-Fed Wind Turbines Technical Solutions on High Voltage Ride-Through
p.565

Dynamic Economic Dispatch of Wind Power Incorporated System
p.570

Design of Time-of-Use Model for Promoting Wind Power’s Penetration
p.575

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Summary about Optimal Power Flow of Power System with Wind Farm Iteration

Abstract:

Integrated wind farms exert a growing influence in the economic operation of power system. Wind power is a form of intermittent and random energy. This paper introduces a model including the error in wind power forecasts using a probability or relative frequency histogram. Compared with the deterministic OPF, the proposed model allows the coordination of wind andthermal power while accounting for the expected penalty cost for not using all available wind power and the expected cost of calling up power reserves because of wind power shortage.Simulation results are presented for cases where the forecasting error histogram is eitherderived from historical data or estimated by a bimodal normal distribution.