Comparing Three Separate Discrete Algorithms for Generation Maintenance Optimization

In general, distribution, generation and transmission are the three primary parts of an electric power system. All of them are in need of maintenance to enhance the energy efficiency, stability and reliability of the comprehensive power system. Nowadays, the entrance of distributed generation into d...

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Published in:2023 8th International Conference on Technology and Energy Management (ICTEM) pp. 1 - 7
Main Authors: Soltani, Sina, Kouhanjani, Masoud Jokar
Format: Conference Proceeding
Language:English
Published: IEEE 08.02.2023
Subjects:
Biological system modeling
Costs
Discrete optimization algorithms
Energy in industries
Generators
GMS
Planning
Power system
Power system stability
Preventive maintenance scheduling
Security
Stability analysis
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Abstract In general, distribution, generation and transmission are the three primary parts of an electric power system. All of them are in need of maintenance to enhance the energy efficiency, stability and reliability of the comprehensive power system. Nowadays, the entrance of distributed generation into distribution networks has been significantly developed. Basic Maintenance Planning Scheduling (GMS) combinations focus on planning preventive maintenance for units over a period of one or two years to reduce total operating costs accompanied by meeting the energy of system requirements. In state-of-the-art power systems, the involvement of systems like budget constraints, combustion, demand, and crew for electricity have increased dramatically, as the system size has. Therefore, they have caused more generators and less reserve margin, complicating the problem of GMS. This research presents two models for a budget and a fixed security constraint model for the problems of scheduling preventive maintenance. To contain a more optimal program, a multi-objective function (reliability and cost-effective cost) is involved and resolved. For a rather pragmatic and complete study, a new manpower restriction, likewise relationship restriction to solve the function of multi-objective, is analyzed and proposed for the scheduling maintenance problem. This function is simulated by 3 optimization methods and the matters of population size and iterations are expressed and compared in GMS problem. An experimental system containing 21 generators is noticed for simulation and the accuracy of the results in our case study indicates the capability of DPSO optimization algorithm for scheduling maintenance and other economic and crew constraints.
AbstractList In general, distribution, generation and transmission are the three primary parts of an electric power system. All of them are in need of maintenance to enhance the energy efficiency, stability and reliability of the comprehensive power system. Nowadays, the entrance of distributed generation into distribution networks has been significantly developed. Basic Maintenance Planning Scheduling (GMS) combinations focus on planning preventive maintenance for units over a period of one or two years to reduce total operating costs accompanied by meeting the energy of system requirements. In state-of-the-art power systems, the involvement of systems like budget constraints, combustion, demand, and crew for electricity have increased dramatically, as the system size has. Therefore, they have caused more generators and less reserve margin, complicating the problem of GMS. This research presents two models for a budget and a fixed security constraint model for the problems of scheduling preventive maintenance. To contain a more optimal program, a multi-objective function (reliability and cost-effective cost) is involved and resolved. For a rather pragmatic and complete study, a new manpower restriction, likewise relationship restriction to solve the function of multi-objective, is analyzed and proposed for the scheduling maintenance problem. This function is simulated by 3 optimization methods and the matters of population size and iterations are expressed and compared in GMS problem. An experimental system containing 21 generators is noticed for simulation and the accuracy of the results in our case study indicates the capability of DPSO optimization algorithm for scheduling maintenance and other economic and crew constraints.
Author Soltani, Sina
Kouhanjani, Masoud Jokar
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  givenname: Masoud Jokar
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  fullname: Kouhanjani, Masoud Jokar
  email: masoudjokar@hotmail.com
  organization: Shiraz Electric Distribution Company,Design and Supervision Expertise,Shiraz,Iran
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Snippet In general, distribution, generation and transmission are the three primary parts of an electric power system. All of them are in need of maintenance to...
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SubjectTerms Biological system modeling
Costs
Discrete optimization algorithms
Energy in industries
Generators
GMS
Planning
Power system
Power system stability
Preventive maintenance scheduling
Security
Stability analysis
Title Comparing Three Separate Discrete Algorithms for Generation Maintenance Optimization
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