Abstract
Unit commitment (UC) is to determine the optimal unit status and generation level during each time interval of the scheduled period. The purpose of UC is to minimize the total generation cost while satisfying system demand, reserve requirements, and unit constraints. Among the UC constraints, an adequate provision of reserve is important to ensure the security of power system and the fast-response reserve is essential to bring system frequency back to acceptable level following the loss of an online unit within a few seconds. In this paper, the authors present and solve a UC problem including the frequency-based reserve constraints to determine the optimal FRR requirements and unit MW schedules. The UC problem is solved by using Lagrangian Relaxation-based approach and compared with the actual system schedules. It is observed that favorable reserve and unit MW schedules are obtained by the proposed method while the system security is maintained.
Highlights
The unit commitment (UC) problem is to optimize hourly schedules of unit operation and minimize system operating costs for a given time interval
Among the Unit commitment (UC) constraints, an adequate provision of reserve is important to ensure the security of power system and the fast-response reserve is essential to bring system frequency back to acceptable level following the loss of an online unit within a few seconds
In [1] and [2], the load-frequency sensitivity index (LFSI) was used to assess the frequency drop following the loss of the largest online unit
Summary
The unit commitment (UC) problem is to optimize hourly schedules of unit operation and minimize system operating costs for a given time interval. The reserve is a crucial requirement for maintaining system frequency within the normal limits without any load shedding when the system experiences a contingency. The response time of FRR is usually the order of seconds to arrest the initial fall in frequency following the loss of any online generation unit. In [1] and [2], the load-frequency sensitivity index (LFSI) was used to assess the frequency drop following the loss of the largest online unit. This method still had to recalculate the reserve levels until the frequency constraint was met by an iterative procedure. Simulation results and numerical experiences compared with the actual system are the reported
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