Proceedings Article10.1109/CCDC.2017.7978379
A robust interval economic dispatch model accommodating large-scale wind power generation with consideration of price-based demand response
Liudong Zhang,Yubo Yuan,Bing Chen,Dawei Su +3 more
- 01 May 2017
- pp 6679-6684
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TL;DR: In this article, a robust interval optimization method was used to achieve the joint optimization of dynamic demand response load regulation and uncertain wind power accommodation by utilizing the interval information of wind power forecast which can be conveniently obtained.
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Abstract: Demand response can promote large-scale wind power accommodation via utilizing demand side resources to participate in power systems dispatch. Because the wind power uncertainty is neglected and the probabilistic model of wind power forecast error is difficult to be accurately obtained in the existing wind power dispatch models considering demand response, the impacts of wind power uncertainty on demand response load regulation are unable to be accurately evaluated. By utilizing the interval information of wind power forecast which can be conveniently obtained, the robust interval optimization method can be used to achieve the joint optimization of dynamic demand response load regulation and uncertain wind power accommodation. Therefore, a price-based demand response model is introduced to the conventional robust interval dynamic economic dispatch model, an hours-ahead robust interval economic dispatch model accommodating large-scale wind power with consideration of price-based demand response is developed and its solution method based on linear programming is proposed in this paper. Simulation studies on the IEEE 26-generator reliability test system connected to a wind farm are presented to verify the effectiveness and advantage of the proposed model.
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Citations
A comprehensive review on wind power spillage: Reasons, minimization techniques, real applications, challenges, and future trends
Abdelfattah A. Eladl,Samaa Fawzy,E. E. Abd-Raboh,Akram Elmitwally,Gibran Agundis-Tinajero,Josep M. Guerrero,Mohamed A. Hassan +6 more
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Interactive demand response and dynamic thermal line rating for minimizing the wind power spillage and carbon emissions
Samaa Fawzy,E. E. Abd-Raboh,Abdelfattah A. Eladl +2 more
TL;DR: A bi-level optimization model is proposed to minimize wind power spillage, load shedding, power losses, and CO2 emissions through demand response and dynamic thermal line rating, achieving up to 32.7% reduction in spillage and 36.6% increase in social welfare.
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Linear Programming Based on Piece-Wise Linearization for Solving the Economic Load Dispatch Problem
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TL;DR: The LP technique with piece-wise linearization shows an overall competitive advantage in terms of total cost, solution time, and load satisfaction.
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TL;DR: In this paper, a novel optimal dispatch model for wind power integrated systems is presented, which considers the customers' power consumption response to the electric power prices and customers' satisfaction constraints.
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TL;DR: In this article, the impact of wind power integration on the system active operation reserve is analyzed, and a risk-based reserve decision method for wind energy integration is presented, where a coordination and optimal reserve allocation algorithm is proposed to take full advantage of the control performance of generators, which is capable of solving the wind power impact on the operation reserve.
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An Integrated Generation-consumption Dispatch Model with Wind Power
TL;DR: An integrated generation-consumption dispatch model with wind power is presented which can consider the consumption dispatch mode such as consumption stimulation, interruptible load management, and price response, etc as mentioned in this paper.
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Chance constrained model for wind power usage based on demand response
TL;DR: In this paper, a new approach to improve wind power usage based on demand response (DR) is proposed to smooth wind power output fluctuations grid-connected for system operation, where both price-based and incentive-based DR are employed to describe the DR characteristics.
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Unit Commitment Model and Economic Dispatch Model Based on Real Time Pricing for Large-Scale Wind Power Accommodation
TL;DR: In this paper, a stochastic unit commitment model and deterministic unit commitment based on real-time pricing (RTP) for large-scale wind power accommodation are respectively proposed considering the positive effect of demand response(DR) and the characteristic of the uncertainty scheduling strategy.
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