Stochastic Unit Commitment Problem, Incorporating Wind Power and an Energy Storage System

This paper presents a modified formulation for the wind-battery-thermal unit commitment problem that combines battery energy storage systems with thermal units to compensate for the power dispatch gap caused by the intermittency of wind power generation. The uncertainty of wind power is described by...

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Bibliographic Details
Published in:Sustainability 2020-12, Vol.12 (23), p.10100
Main Authors: Alqunun, Khalid, Guesmi, Tawfik, Albaker, Abdullah F., Alturki, Mansoor T.
Format: Article
Language:English
Subjects:
Alternative energy sources
Compressed air
Costs
Electric power generation
Energy resources
Energy storage
Fuzzy logic
Generators
Integer programming
Monte Carlo simulation
Optimization
Personal computers
Renewable resources
Stochasticity
Storage systems
Sustainability
Systems stability
Turbines
Uncertainty
Unit commitment
Wind farms
Wind power
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Summary:This paper presents a modified formulation for the wind-battery-thermal unit commitment problem that combines battery energy storage systems with thermal units to compensate for the power dispatch gap caused by the intermittency of wind power generation. The uncertainty of wind power is described by a chance constraint to escape the probabilistic infeasibility generated by classical approximations of wind power. Furthermore, a mixed-integer linear programming algorithm was applied to solve the unit commitment problem. The uncertainty of wind power was classified as a sub-problem and separately computed from the master problem of the mixed-integer linear programming. The master problem tracked and minimized the overall operation cost of the entire model. To ensure a feasible and efficient solution, the formulation of the wind-battery-thermal unit commitment problem was designed to gather all system operating constraints. The solution to the optimization problem was procured on a personal computer using a general algebraic modeling system. To assess the performance of the proposed model, a simulation study based on the ten-unit power system test was applied. The effects of battery energy storage and wind power were deeply explored and investigated throughout various case studies.
ISSN:2071-1050
2071-1050
DOI:10.3390/su122310100