Application of a novel cost reduction index to preventive maintenance scheduling

Spinning reserve contribution using unit responsibility criterion incorporating preventive maintenance scheduling

“…The peak load is 2100 MW and the weekly load profile of the IEEE-RTS is used to obtain the annual load curve [5]. The fuel cost curves for generating units given as a quadratic function [29] are approximated by 20 linear segments between the minimum and maximum generating units' capacity.…”

“…The aim of PMS problem can be both economic-driven as well as reliability-driven. Economic driven minimizes total operation expenditures over a scheduling time horizon [3][4][5][6][7]; while reliability driven utilizes several reliability indices such as: expected lack of peak net reserve, expected energy not supplied (EENS), and loss of load probability (LOLP) [8][9][10][11].…”

“…In Ref. [5], general algebraic modeling system (GAMS) is employed to solve PMS to minimize the operation expenditure by utilizing cost reduction index. The impact of demand response program on PMS problem is investigated in [7].…”

“…The aim of PMS problem can be both economic-driven as well as reliability-driven. Economic driven minimizes total operation expenditures over a scheduling time horizon [3][4][5][6][7]; while reliability driven utilizes several reliability indices such as: expected lack of peak net reserve, expected energy not supplied (EENS), and loss of load probability (LOLP) [8][9][10][11].This paper emphasizes on minimizing the total operation and maintenance expenditures in order to investigate the economic benefits of PMS. Indeed, PMS problem is contemplated as a large scale, non-convex, and mixed integer combinatorial optimization problem which can be solved via different deterministic [3,12], heuristic [2,4,[13][14][15][16], and hybrid methods [17][18][19][20], in previous decades.…”

“…Indeed, PMS problem is contemplated as a large scale, non-convex, and mixed integer combinatorial optimization problem which can be solved via different deterministic [3,12], heuristic [2,4,[13][14][15][16], and hybrid methods [17][18][19][20], in previous decades. Currently, in most cases, the commercial solvers are also utilized to solve such complicated problem [5,7,21,22]. In Ref.…”