Abstract
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.
Highlights
This paper proposes a modified formulation for the wind-battery-thermal unit commitment problem (UCP) (WBTUCP) that merges an energy storage system with a traditional power network to fulfill the power dispatch gap caused by uncertain wind power generation
The deployment of the wind-battery-thermal UCP in modern power networks has been significantly increased to manage the raised concerns related to transmission congestions and high energy production costs
The performance of the suggested model was assessed through three case studies; (1) only thermal units, (2) including wind power (WP), and (3) including WP and battery energy storage systems (BESSs)
Summary
Modern power networks that allow the deployment of renewable energy sources and the transfer of bidirectional power have been introduced to meet these concerns. Renewable energy resources, such as wind turbines, were introduced to relieve the aforementioned concerns and to provide the network system with a sufficient rate of reliability and a low operation cost. The unit commitment problem (UCP) of wind energy has been one of the most studied problems over the last few years [5,6,7,8]. The production levels of committed units must be found in order to meet the predicted load at a minimum total production cost over a planning horizon, varying from one day to one week. ESSs are coordinated with thermal generators and renewable energy sources in order to capture and store excess energy during the off-peak period and discharge it at the peak period
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