An Approach for Integrated Generation and Transmission Maintenance Scheduling Considering N-1 Contingencies

Abstract

This paper presents an approach for integrated generation and transmission maintenance scheduling model (IMS) that takes into consideration N-1 contingencies. The objective is to maximize the maintenance preference of facility owners while satisfying N-1 security and other constraints. To achieve this goal, Benders decomposition is employed to decompose the problem into a master problem and several sub-problems. A Relaxation Induced (RI) algorithm is proposed to efficiently solve the large mixed integer programming (MIP) master problem. This algorithm is based on the solution of the linear relaxed problem. It is demonstrated that the proposed algorithm can efficiently reach a near-optimal solution that is usually satisfactory. If this near-optimal solution is not acceptable, it is used as the initial solution to fast start the solution of the original IMS problem. The performance of the proposed method is demonstrated using a modified version of the IEEE 30-bus system and a model of the power system of a Chinese province. Case studies show that the proposed algorithm can improve the computational efficiency by more than an order of magnitude.

Mid-term integrated generation and maintenance scheduling for wind-hydro-thermal systems

“…Furthermore, according to the cumulative distribution function of natural inflow F N,t (·), chance-constrained water balance constraints (17) can also be transformed to (34).…”

“…In the competitive electricity market environment, the coordination of the 2 scheduling is discussed in previous works . While for both the vertically integrated utility and electricity market, an integrated model for the generation and maintenance scheduling is established in Fu et al And to improve the applicability of the model, many constraints are introduced and added, such as security constraints, N‐1 contingency constraints, and demand response programs . However, the above mentioned models are primarily used in thermal power systems while the coordination model for wind, cascaded hydro, and thermal system is rarely reported due to the complexity of modeling.…”

Stochastic multiobjective generation maintenance scheduling using augmented normalized normal constraint method and stochastic decision maker

“…However, it can be extended to be applicable for restructured power systems by taking into account Gencos' preferences for the unit maintenance time. () In addition, we have assumed that system operator (for instance, Iran's national dispatch department) receives the maintenance information of all units including their maintenance costs, maintenance durations, and typical data to schedule their maintenance outages.…”

“…Deterministic methods use simple practical ideas such as a fixed percentage of maximum load or the largest unit criteria to estimate reserve capacity, while probabilistic methods use probabilistic criteria, such as expected energy not supplied (EENS) or loss of load expectation (LOLE), taking into account stochastic processes in a power system. 6 A deterministic N-1 secure framework has been proposed in Wang et al 8 for integrated generation and transmission maintenance scheduling. As it is pointed out in Bouffard and Galiana, 9 these deterministic methods that ignore unit failure probability may result in rough estimates, particularly, in systems with considerable number of unreliable units or conversely with highly reliable units.…”

“…A deterministic N‐1 secure framework has been proposed in Wang et al for integrated generation and transmission maintenance scheduling. As it is pointed out in Bouffard and Galiana, these deterministic methods that ignore unit failure probability may result in rough estimates, particularly, in systems with considerable number of unreliable units or conversely with highly reliable units.…”