Abstract
Periodic preventive maintenance of generators is required to maintain the reliable operation of a power system. However, generators under maintenance cannot supply electrical energy to the power system; therefore, it is important to determine an optimal generator maintenance schedule to facilitate efficient supply. The schedule should consider various constraints of the reliability-based demand response program, power system security, and restoration. Determining the optimal generator maintenance schedule is generally formulated as a non-linear optimization problem, which leads to difficulties in obtaining the optimal solution when the various power system constraints are considered. This study proposes a generator maintenance scheduling (GMS) method using transformation of mixed integer polynomial programming in a power system incorporating demand response. The GMS method is designed to deal with various system requirements and characteristics of demand response within a power system. A case study is conducted using data from the Korean power system to demonstrate the effectiveness of the proposed method for determining the optimal maintenance schedule. The results show that the proposed GMS method can be used to facilitate the efficient and reliable operation of a power system, by considering the applicable system constraints.
Highlights
Determining an optimal generator maintenance schedule is important for increasing the reliability [1,2] of a power system by ensuring the most appropriate amount of supply resources to meet the forecasted demand in the future
In [5], the supply reserve margin was levelized for the generator maintenance scheduling (GMS) problem, which can lead to minimum fuel costs during power system operation [6]
1, most maintenance tended to be performed immediately after adjusted. These results show that the results considering the reliability-based resources had schedules are adjusted. These results show that the GMS results considering the reliability-based demand response (DR)
Summary
Determining an optimal generator maintenance schedule is important for increasing the reliability [1,2] of a power system by ensuring the most appropriate amount of supply resources to meet the forecasted demand in the future. Various methods have been studied to determine optimal generator maintenance schedules for power system reliability. In [4], expected unserved energy (EUE) was used as reliability criteria for the generator maintenance scheduling (GMS) problem. In [5], the supply reserve margin was levelized for the GMS problem, which can lead to minimum fuel costs during power system operation [6]. To satisfy the reliability requirement and reduce fuel costs, levelizing of the reserve margin is commonly used for the GMS problem. GMS problems are complex non-linear problems related to many factors such as resource characteristics and various system requirements [3,4,5,6,7]
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