An evolutionary programming-based solution methodology for power generation and transmission maintenance scheduling

This paper presents an evolutionary programming (EP)-based technique to the unified model of the maintenance scheduling (MS) problem of power generation and transmission systems. In this paper, the Hill-Climbing technique (HCT) is used in conjunction with the EP to find a feasible solution in the neighborhood of the new infeasible solutions during the solution process. The EP search ability and the feasibility watch of the HCT motivate the sequential solution of the two interrelated subproblems of the MS problem. The paper reports test results of the proposed algorithm on the IEEE 30-bus system with six generating units and 41 transmission lines. (C) 2002 Elsevier Science B.V. All rights reserved.