Abstract
Testing and maintenance activities of safety equipment have drawn much attention in Nuclear Power Plant (NPP) to risk and cost control. The testing and maintenance activities are often implemented in compliance with the technical specification and maintenance requirements. Technical specification and maintenance-related parameters, that is, allowed outage time (AOT), maintenance period and duration, and so forth, in NPP are associated with controlling risk level and operating cost which need to be minimized. The above problems can be formulated by a constrained multiobjective optimization model, which is widely used in many other engineering problems. Particle swarm optimizations (PSOs) have proved their capability to solve these kinds of problems. In this paper, we adopt PSO as an optimizer to optimize the multiobjective optimization problem by iteratively trying to improve a candidate solution with regard to a given measure of quality. Numerical results have demonstrated the efficiency of our proposed algorithm.
Highlights
Improvement of the availability performance for safetyrelated systems has drawn much attention in Nuclear Power Plant (NPP) nowadays
One important aspect of the nuclear industry is to improve the availability of safety-related equipment at NPPs to achieve high safety and low cost levels
The multiobjective optimization algorithm based on Particle swarm optimizations (PSOs) has been applied to solve the constrained multiobjective optimization of testing and maintenance-related parameters of safety-related equipment
Summary
Improvement of the availability performance for safetyrelated systems has drawn much attention in Nuclear Power Plant (NPP) nowadays. Efficient regular testing and maintenance strategy can improve the availability performance of the systems, and it will lead to great expenditure cost. Both risk controlling and expenditure effectiveness have drawn much attention in NPP [1, 2]. Both technical specifications and maintenance activities are associated with controlling risk and with availability of safety-related systems. The plan of this paper is the following: Section 2 presents the unavailability and cost models of critical systems/components of NPP; Section 3 gives the multiobjective problem model; Section 4 reviews PSO method; Section 5 presents a case study; Section 6 draws a short conclusion
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