Integration Method of Unit Commitment Using PL-GA Binary Dispatch Algorithm for Intermittent RES in Isolated Microgrids System

Integration of renewable energy generators with existing electrical power systems is an effective strategy to strengthen energy security in islands and remote areas. However, in the case of high penetration of renewable energy sources (RES), operations and economic aspects must be considered. One of...

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Published in:International Journal on Electrical Engineering and Informatics Vol. 13; no. 2; pp. 449 - 464
Main Authors: Rendroyoko, Ignatius, I. Sinisuka, Ngapuli, Debusschere, Vincent, P. Koesrindartoto, Deddy
Format: Journal Article
Language:English
Published: Bandung School of Electrical Engineering and Informatics, Bandung Institute of Techonolgy, Indonesia 30.06.2021
School of Electrical Engineering and Informatics, Institut Teknologi Bandung, Indonesia
Subjects:
Algorithms
Alternative energy sources
Distributed generation
Economics
Electric power
Electric power systems
Electricity
Electricity distribution
Energy resources
Engineering Sciences
Generators
Genetic algorithms
Operating costs
Optimization
Optimization algorithms
Optimization techniques
Power dispatch
Power plants
Power supply
Renewable energy sources
Renewable resources
Scheduling
System effectiveness
Unit commitment
Indonesia
genetic algorithm
priority list
unit commitment
Integration
intermittency
optimization techniques
ISSN:2085-6830, 2087-5886
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Abstract Integration of renewable energy generators with existing electrical power systems is an effective strategy to strengthen energy security in islands and remote areas. However, in the case of high penetration of renewable energy sources (RES), operations and economic aspects must be considered. One of the power plant integration schemes is the Unit Commitment (UC), a daily scheduling method to achieve optimization goals while still meeting various operational, environmental, and technical constraints. However, the existing UC method is a generic one, therefore it is necessary to develop an optimization method with a new approach based on improved PL-GA to manage the generation scheduling in microgrid power systems. The proposed solution method is the PL-GA Algorithm, an improvement from the previous studies, with optimization on economic dispatch using GA. This algorithm uses a simple and fast PL technique for the generation scheduling and dispatch stages to obtain the initial population. Then, an accurate and more flexible GA technique is used for the economic dispatch stage to avoid local optima to get the lowest total operating costs. This method has been simulated on the electricity system in Eastern Indonesia, a developing electricity system with intermittent RES power plants with good results.
AbstractList Integration of renewable energy generators with existing electrical power systems is an effective strategy to strengthen energy security in islands and remote areas. However, in the case of high penetration of renewable energy sources (RES), operations and economic aspects must be considered. One of the power plant integration schemes is the Unit Commitment (UC), a daily scheduling method to achieve optimization goals while still meeting various operational, environmental, and technical constraints. However, the existing UC method is a generic one, therefore it is necessary to develop an optimization method with a new approach based on improved PL-GA to manage the generation scheduling in microgrid power systems. The proposed solution method is the PL-GA Algorithm, an improvement from the previous studies, with optimization on economic dispatch using GA. This algorithm uses a simple and fast PL technique for the generation scheduling and dispatch stages to obtain the initial population. Then, an accurate and more flexible GA technique is used for the economic dispatch stage to avoid local optima to get the lowest total operating costs. This method has been simulated on the electricity system in Eastern Indonesia, a developing electricity system with intermittent RES power plants with good results.
Integrating renewable energy generators with existing electric power systems is essential in developing renewable energy generation in electric power systems in islands and remote areas. The high penetration of renewable energy sources (RES) and the possibility of working in a connected mode with the existing electricity grid are significant problems that must be overcome. With the many RES implementations, a proper integration method is needed between RES plants, which have intermittent characteristics, and existing power generation systems so that the electrical system remains stable, continuous, and reliable. One of the power plant integration schemes is unit commitment (UC), a daily scheduling method to achieve optimization goals while still meeting various operational, environmental, and technical constraints. UC method development is needed to maintain system stability, resilience, and minimize operating costs, especially for small systems for electrical development. Therefore, it is necessary to develop a new optimization method in the UC scheme for microgrid power systems. This paper discusses the development of an optimization method to integrate power generation from intermittent renewable energy using a UC scheme in a microgrid system. The algorithm used is a combination of improved priority list techniques and genetic algorithms, where the improved priority list is run first for scheduling optimization and then a combination of the algorithm priority list and genetic algorithm for economic dispatch solutions to obtain the lowest operational costs. The generating unit's capacity to operate per capability segment is also taken into account in the operation scheduling and affects the number of iterations in the genetic algorithm's operation. This method has been simulated in the electrical system in Eastern Indonesia, which is a developing power system and has an intermittent characteristic of RES power plants.
Author I. Sinisuka, Ngapuli
Debusschere, Vincent
P. Koesrindartoto, Deddy
Rendroyoko, Ignatius
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  fullname: P. Koesrindartoto, Deddy
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CorporateAuthor School of Business and Management, Institute Technology of Bandung, Bandung, Indonesia
Univ. Grenoble Alpes, CNRS, Grenoble INP, G2Elab, 38000, Grenoble, France
School of Electrical Engineering and Informatics, Institute Technology of Bandung, Bandung, Indonesia
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Keywords genetic algorithm
priority list
unit commitment
Integration
intermittency
optimization techniques
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Snippet Integration of renewable energy generators with existing electrical power systems is an effective strategy to strengthen energy security in islands and remote...
Integrating renewable energy generators with existing electric power systems is essential in developing renewable energy generation in electric power systems...
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SubjectTerms Algorithms
Alternative energy sources
Distributed generation
Economics
Electric power
Electric power systems
Electricity
Electricity distribution
Energy resources
Engineering Sciences
Generators
Genetic algorithms
Operating costs
Optimization
Optimization algorithms
Optimization techniques
Power dispatch
Power plants
Power supply
Renewable energy sources
Renewable resources
Scheduling
System effectiveness
Unit commitment
Title Integration Method of Unit Commitment Using PL-GA Binary Dispatch Algorithm for Intermittent RES in Isolated Microgrids System
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