Generators Maintenance Scheduling Using Combined Fuzzy Set Theory and GA

Oh, Tae-Gon,Park, Jeong-Je,Cho, Kyeong-Hee,Choi, Jae-Seok,Baek, Ung-Ki,El-Keib, A.A. The Korean Institute of Electrical Engineers 2011 The Journal of International Council on Electrical Vol.1 No.4

The maintenance of generating units is implicitly related to power system reliability and has a tremendous bearing on the operation of the power system. A technique using a fuzzy search method which is based on fuzzy multi-criteria function has been proposed for GMS (generator maintenance scheduling) in order to consider multi-objective function. In this study, a new technique using combined fuzzy set theory and genetic algorithm(GA) is proposed for generator maintenance scheduling. The effectiveness of the proposed approach is demonstrated by the simulation results on a practical size test systems.

퍼지 집합이론과 유전알고리즘을 이용한 일간 발전기 보수유지계획의 수립

오태곤(Tae-Gon Oh),최재석(Jaeseok Choi),백웅기(Ung-Ki Baek) 대한전기학회 2011 전기학회논문지 Vol.60 No.7

The maintenance of generating units is implicitly related with power system reliability and has a tremendous bearing on the operation of the power system. A technique using a fuzzy search method which is based on fuzzy multi-criteria function has been proposed for GMS (generator maintenance scheduling) in order to consider multi-objective function. In this study, a new technique using combined fuzzy set theory and genetic algorithm(GA) is proposed for generator maintenance scheduling. The genetic algorithm(GA) is expected to make up for that fuzzy search method might search the local solution. The effectiveness of the proposed approach is demonstrated by the simulation results on a practical size test systems.

신재생에너지 발전원을 고려한 발전기 예방정비계획수립에 관한 연구

이연찬(Yeonchan Lee),오웅진(Ungjin Oh),최재석(Jaeseok Choi),정명훈(Myeonghoon Jung) 대한전기학회 2018 전기학회논문지 Vol.67 No.5

The purpose of this paper is to establish a new optimum Generator Maintenance Scheduling(GMS) considering renewable energy generator. In this paper, the total renewable energy generation is estimated using hourly capacity factor of renewable energy generator. The GMS was optimized with the objective function of maximizing the minimum reserve rate, minimizing the probabilistic production cost, minimizing the loss of load expectation, and minimizing CO₂ emissions. In the case study of this paper, GMS considering renewable energy and GMS not considering renewable energy are shown by each objective function. And it shows scenarios of the reliability, the environmental and economical factors when two nuclear power plants inputted and ten coal thermal power plants shut downed respectively.

지역별 예비력 제약과 융통전략을 고려한 발전기 예방정비 계획 해법

朴永秀(Young-Soo Park),金眞鎬(Jin-Ho Kim),朴俊灝(June-Ho Park) 대한전기학회 2007 전기학회논문지 Vol.56 No.11

This paper presents a new generating unit maintenance scheduling algorithm considering regional reserve margin and transfer capability. Existing researches focused on reliability of the overall power systems have some problems that adequate reliability criteria cannot be guaranteed in supply shortage regions. Therefore specific constraints which can treat regional reserve ratio have to be added to conventional approaches. The objective function considered in this paper is the variance (second-order momentum) of operating reserve margin to levelize reliability during a planning horizon. This paper focuses on significances of considering regional reliability criteria and an advanced hybrid optimization method based on PSO algorithm. The proposed method has been applied to IEEE reliability test system(1996) with 32-generators and a real-world large scale power system with 291 generators. The results are compared with those of the classical central maintenance scheduling approaches and conventional PSO algorithm to verify the effectiveness of the algorithm proposed in this paper.

발전기보수유지계획을 고려한 CO₂배출량의 추정

전동훈(Dong-Hoon Jeon),박정제(Jeong-Je Park),오태곤(Tae-Gon Oh),조경희(Kyeong-Hee Cho),최재석(Jae-Seok Choi),백웅기(Ung-Ki Baek) 대한전기학회 2010 전기학회논문지 Vol.59 No.9

The CO₂ emission can be decreased due to freedom of generator maintenance scheduling(GMS). This paper proposes assessment of CO₂ emission considering generator maintenance scheduling(GMS) and evaluates effect of the GMS on CO₂ emission. And also, this paper assesses the CO2 emission and the probabilistic production cost simulation of nuclear and thermal power generators considering operation of hydro and pumped generator. The minimum reliability criterion level satisfied production cost minimization function model is used in this paper. The practicality and effectiveness of the proposed approach are demonstrated by simulation studies for a real size power system in Korea in 2010.

ISO Coordination of Generator Maintenance Scheduling in Competitive Electricity Markets using Simulated Annealing

Seok-Man Han,Koo-Hyung Chung,Balho H. Kim 대한전기학회 2011 Journal of Electrical Engineering & Technology Vol.6 No.4

To ensure that equipment outages do not directly impact the reliability of the ISOcontrolled grid, market participants request permission and receive approval for planned outages from the independent system operator (ISO) in competitive electricity markets. In the face of major generation outages, the ISO will make a critical decision as regards the scheduling of the essential maintenance for myriads of generating units over a fixed planning horizon in accordance with security and adequacy assessments. Mainly, we are concerned with a fundamental framework for ISO’s maintenance coordination in order to determine precedence of conflicting outages. Simulated annealing, a powerful, general-purpose optimization methodology suitable for real combinatorial search problems, is used. Generally, the ISO will put forward its best effort to adjust individual generator maintenance schedules according to the time preferences of each power generator (GENCO) by taking advantage of several factors such as installed capacity and relative weightings assigned to the GENCOs. Thus, computer testing on a four-GENCO model is conducted to demonstrate the effectiveness of the proposed method and the applicability of the solution scheme to large-scale maintenance scheduling coordination problems.

신뢰성 분석 기반 발전설비 점검계획 수립 시스템 연구 - 석탄 하역기를 중심으로 -

황성환,김유림,강성우 한국품질경영학회 2023 품질경영학회지 Vol.51 No.2

Purpose: Recently, research has continued to predict the time of failure of the facility through measurement data obtained by attaching a sensor to the facility. However, depending on the facility, it may be difficult to attach a sensor. The purpose of this study is to propose a power generation maintenance plan system based on failure record data obtained from Continuous Ship Unloader, one of the facilities that is difficult to attach sensors. Methods: This study uses data collected from 2012 to 2022 from the ‘CSU-1B’ model among Continuous Ship Unloader operated by Korea Midland Power Co., LTD. By fitting fault record data to the Weibull distribution, appropriate maintenance cycles and ranges for each target facility subsystem are derived. In addition, maintenance group between subsystems is selected through Euclidean distance, a metric often used for time series data similarity. Through this, a system for establishing an maintenance plan for power generation facilities is proposed. Results: The results of this study are as follows. For the 17 subsystems of the Continuous Ship Unloader, proper maintenance cycles and ranges were determined, and a total of four maintenance groups were chosen. This resulted in the creation of an power generation maintenance plan system and the establishment of an maintenance plan. Conclusion: This study is a case study of power generation facilities. We proposed a maintenance plan system for Continuous Ship Unloader among power generation facilities.

이진 PSO 알고리즘 발전기 보수계획문제 적용

朴永秀(Young-Soo Pakr),金眞鎬(Jin-Ho Kim) 대한전기학회 2007 전기학회논문지 Vol.56 No.8

This paper presents a new approach for solving the problem of maintenance scheduling of generating units using a binary particle swarm optimization (BPSO). In this paper, we find the optimal solution of the maintenance scheduling of generating units within a specific time horizon using a binary particle swarm optimization algorithm, which is the discrete version of a conventional particle swarm optimization. It is shown that the BPSO method proposed in this paper is effective in obtaining feasible solutions in the maintenance scheduling of generating unit. IEEE reliability test systems(1996) including 32-generators are selected as a sample system for the application of the proposed algorithm. From the result, we can conclude that the BPSO can find the optimal solution of the maintenance scheduling of the generating unit with the desirable degree of accuracy and computation time, compared to other heuristic search algorithm such as genetic algorithms. It is also envisaged that BPSO can be easily implemented for similar optimizations and scheduling problems in power system problems to obtain better solutions and improve convergence performance.

ISO Coordination of Generator Maintenance Scheduling in Competitive Electricity Markets using Simulated Annealing

Han, Seok-Man,Chung, Koo-Hyung,Kim, Balho-H. The Korean Institute of Electrical Engineers 2011 Journal of Electrical Engineering & Technology Vol.6 No.4

To ensure that equipment outages do not directly impact the reliability of the ISO-controlled grid, market participants request permission and receive approval for planned outages from the independent system operator (ISO) in competitive electricity markets. In the face of major generation outages, the ISO will make a critical decision as regards the scheduling of the essential maintenance for myriads of generating units over a fixed planning horizon in accordance with security and adequacy assessments. Mainly, we are concerned with a fundamental framework for ISO's maintenance coordination in order to determine precedence of conflicting outages. Simulated annealing, a powerful, general-purpose optimization methodology suitable for real combinatorial search problems, is used. Generally, the ISO will put forward its best effort to adjust individual generator maintenance schedules according to the time preferences of each power generator (GENCO) by taking advantage of several factors such as installed capacity and relative weightings assigned to the GENCOs. Thus, computer testing on a four-GENCO model is conducted to demonstrate the effectiveness of the proposed method and the applicability of the solution scheme to large-scale maintenance scheduling coordination problems.

ISO Coordination of Generator Maintenance Scheduling in Competitive Electricity Markets using Simulated Annealing

한석만,정구형,김발호 대한전기학회 2011 Journal of Electrical Engineering & Technology Vol.6 No.4

To ensure that equipment outages do not directly impact the reliability of the ISOcontrolled grid, market participants request permission and receive approval for planned outages from the independent system operator (ISO) in competitive electricity markets. In the face of major generation outages, the ISO will make a critical decision as regards the scheduling of the essential maintenance for myriads of generating units over a fixed planning horizon in accordance with security and adequacy assessments. Mainly, we are concerned with a fundamental framework for ISO’s maintenance coordination in order to determine precedence of conflicting outages. Simulated annealing, a powerful, general-purpose optimization methodology suitable for real combinatorial search problems, is used. Generally, the ISO will put forward its best effort to adjust individual generator maintenance schedules according to the time preferences of each power generator (GENCO)by taking advantage of several factors such as installed capacity and relative weightings assigned to the GENCOs. Thus, computer testing on a four-GENCO model is conducted to demonstrate the effectiveness of the proposed method and the applicability of the solution scheme to large-scale maintenance scheduling coordination problems.