Application of Particle Swarm Optimization to the Reliability Centered Maintenance Method for Transmission Systems

Abstract

-Electric power transmission utilities make an effort to maximize profit by reducing their electricity supply and operation costs while maintaining their reliability. The development of maintenance strategies for aged components is one of the more effective ways to achieve this goal. The reliability centered approach is a key method in providing optimal maintenance strategies. It considers the tradeoffs between the upfront maintenance costs and the potential costs incurred by reliability losses. This paper discusses the application of the Particle Swarm Optimization (PSO) technique used to find the optimal maintenance strategy for a transmission component in order to achieve the minimum total expected cost composed of Generation Cost (GC), Maintenance Cost (MC), Repair Cost (RC) and Outage Cost (OC). Three components of a transmission system are considered: overhead lines, underground cables and insulators are considered. In regards to aged and aging component, a component state model that uses a modified Markov chain is proposed. A simulation has been performed on an IEEE 9-bus system. The results from this simulation are quite encouraging, and then the proposed approach will be useful in practical maintenance scheduling.

A literature survey on asset management in electrical power [transmission and distribution] system

“…Literature study reveals that RCM was first implemented in the aviation industry that focused on maintenance and refurbishment needs in complex and critical assets . The concept was borrowed from aviation industry to electric power industry and is widely accepted in asset management, evident from various published literatures . Wallnerström et al .…”

Classification, domains and risk assessment in asset management: A literature study

“…The Electric Power Research Institute (EPRI) defines RCM as a systematic consideration of system functions, the way functions can fail, and a priority-based consideration of safety and economics that identifies applicable and effective preventive maintenance tasks. RCM is widely accepted in asset management which is evident from various published literatures [31]- [35].…”

“…2. Leaving aside IT and HMI in asset management, various computational models and optimization techniques have been developed for maintenance, refurbishment, ageing and monitoring techniques in asset management, like state diagram [55], fuzzy technique [34][42] [56], neural networks [39], PSO [35], linear programming [46][57], branch and bound technique [58] and other optimization techniques [36][59] [60]. Anders et al [61] combined engineering and financial aspects of asset management into software tool called Risk-Based Asset Management (Ri-BAM).…”

Time‐horizons in the planning and operation of transmission networks: an overview

“…Various computational models and optimisation techniques have been developed for maintenance, refurbishment, ageing, and monitoring techniques in AM, like state diagram [128], fuzzy technique [105,113,129], ANN [109], PSO [106], linear programming [118,130], branch and bound technique [131], and other optimisation techniques [132,133].…”

“…Literature survey shows there have been explicit studies on maintenance of various power system components, like power transformers, overhead lines, cables, and protection devices [95][96][97][98][99][100][101][102][103]. With the integration of RES, wind farms have been extensively studied from AM point of view in [96,97,[104][105][106][107]. Suwanasri et al [108] studied a zero-profit method for up-gradation of high-voltage equipment in a substation, i.e.…”