Abstract

Self-Scheduling of Wind Power Generation with Direct Load Control Demand Response as a Virtual Power Plant

Highlights

  • Creation and use of renewable energy resources have become important due to global warming and environmental issues associated with the usage of fossil fuels

  • The profit maximization of the CVPP in electricity market was based on self-scheduling method

  • The profit of CVPP maximized by contributing to electricity market and pays penalty equal to spot price market for any imbalance, based on wind power forecast error

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Summary

Introduction

Creation and use of renewable energy resources have become important due to global warming and environmental issues associated with the usage of fossil fuels. Among the renewable energy resources wind power generation is preferred choice in terms of usage and importance. One of the major objectives of WPP consisting of large number of wind power plants is to increase their profit. This goal can be achieved with the pay incentives for wind farms and other policies such as integration of demand response (DR) as a unique virtual power plant, VPP. Because the active demand can make the same contribution to help the power system operation as the generation/storage technologies do, it is included in the category of DER [6]. TVPP will take into consideration the operation of the grid and tries to solve possible contingencies [7]

Wind Power Generation
Demand Response Programs
Demand’s Price Elasticity and DLC Program
Wind Power Generation Output
Virtual Power Plant Bidding Strategy in Day Ahead Power Market
Case Study
CVPP Operation Results
Conclusion

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