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• W2580454818 abstract "High penetration of renewable generation will increase the requirement for both operating reserve (OR) and frequency response (FR), due to its variability, uncertainty, and limited inertia capability. Although the importance of optimal scheduling of OR has been widely studied, the scheduling of FR has not yet been fully investigated. In this context, this paper proposes a computationally efficient mixed integer linear programming formulation for a full stochastic scheduling model that simultaneously optimizes energy production, OR, FR, and underfrequency load shedding. By using value of lost load (VOLL) as the single security measure, the model optimally balances the cost associated with the provision of various ancillary services against the benefit of reduced cost of load curtailment. The proposed model is applied in a 2030-GB system to demonstrate its effectiveness. The impact of installed capacity of wind generation and setting of VOLL is also analyzed." @default.
• W2580454818 created "2017-02-03" @default.
• W2580454818 creator A5014643856 @default.
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• W2580454818 date "2017-04-01" @default.
• W2580454818 modified "2023-10-01" @default.
• W2580454818 title "Full Stochastic Scheduling for Low-Carbon Electricity Systems" @default.
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• W2580454818 doi "https://doi.org/10.1109/tase.2016.2629479" @default.
• W2580454818 hasPublicationYear "2017" @default.
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