Generator Maintenance Scheduling Method Using Transformation of Mixed Integer Polynomial Programming in a Power System Incorporating Demand Response

Hyung-Chul Jo, Rakkyung Ko and Sung-Kwan Joo
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Hyung-Chul Jo: Distributed Power System Research Center, Korea Electrotechnology Research Institute, Gyeongsangnam-do 51543, Korea
Rakkyung Ko: The School of Electrical Engineering, Korea University, Seoul 02841, Korea
Sung-Kwan Joo: The School of Electrical Engineering, Korea University, Seoul 02841, Korea

Energies, 2019, vol. 12, issue 9, 1-14

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.

Keywords: demand response; generator maintenance scheduling; electricity supply and demand; transformation of mixed integer polynomial programming (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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