Maintenance scheduling of generation and transmission systems using fuzzy evolutionary programming

Abstract

The maintenance scheduling problem has several uncertainties associated with it. This paper presents a fuzzy model for the integrated generation and transmission maintenance scheduling problem (MS) that accounts for such uncertainties, and introduces a solution technique to solve for the optimal schedule. This technique is based on evolutionary programming (EP) to find a near-optimal solution and the Hill-Climbing (HCT) method to maintain feasibility during the solution process. It also uses a fuzzy comparison technique developed by the authors to compare individuals. The proposed technique generates fuzzy ranges for the maintenance and production costs that reflect the problem uncertainties. The paper includes test results on the IEEE 118-bus system with 33 generating units and 179 transmission lines. Results are encouraging and indicate the viability of the proposed technique.

Encompassing Electricity Market Predictions and Weather Forecasts in Power Plan O&M Strategies

“…(10) changes over time, depending on the maintenance scheduling, thus leading to an a priori undetermined number of boolean constraints. For the solution of non-linear integer programming problems with boolean constraints, methods based on integer programming, branch-and-bound and dynamic programming have been proposed in the literature [51,52,66,67]. It is worth remarking that exact mathematical methods can be used only with small size problems because the combinations of states in which the solution must be searched increase exponentially [53,68].…”

“…The most common economic objective is to minimize the costs of energy production and maintenance, i.e. the total operating cost [51,52]. The outage durations are a trade-off between the energy production cost and the maintenance cost.…”

“…These limitations can be overcome using several meta-heuristic and soft computing approaches, such as genetic algorithms [54,55], simulated annealing (SA) [56,57], evolutionary programming [58], fuzzy logic [52] and their hybrids [52,[59][60][61][62].…”

Smart Energy Management and Control for Fuel Cell Based Micro-Grid Connected Neighborhoods

“…Furthermore, since the FCPP is assumed to be operated in grid-parallel mode, the local grid service as a buffer during periods of shortfall or surplus generation. To arrive at the daily optimal operational strategy a hybrid technique based on evolutionary programming (EP) and Hill-Climbing (HC) methods [12,17] is used. The evolutionary programming is employed to search for the near optimal solution while the HC method is used to ensure feasibility during the solution process.…”

LS-SVM based substation circuit breakers maintenance scheduling optimization

“…In risk or LCC based management, quantitative analysis is very important, which includes failure and maintenance effect. Aronstein discusses fire losses, which is apparently too limited [24].For maintenance scheduling, fuzzy evolutionary programming and generic decision support tools are used by some researchers [25,26]. Janjic and Popovik uses risk based maintenance scheduling http://dx.…”