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Power Electronics

Application of AHP Algorithm to Coordinate Multiple Load Shedding Factors in the Microgrid

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Pages 5276-5288 | Published online: 31 Aug 2021
 

Abstract

The rapidly drop of frequency in the microgrid (MG) system when it operates under island operation has caused frequency stability problems. In case, generators and renewable energy sources cannot supply enough power to restore the frequency, the load shedding will be proceeded. This paper proposes the load shedding method based on the coordinate multiple load shedding factors when the MG system operates in island mode. This proposed method carries out an approach through two main steps. Firstly, the optimal amount of load shedding power considering renewable energy sources and the ability to adjust the primary and secondary frequencies of the generator is calculated to restore the frequency to the allowed range. Next, distributing the optimal load shedding power for each bus is based on the combination of different criteria to meet the economic and technical goals. On the technical side, this paper also considers two criteria about the voltage distance, and the voltage sensitivity index. These two criteria contribute to reducing voltage drop and improving voltage stability when the microgrid operates in island mode. From the economic perspective, it considers the load importance factor, thereby minimizing the economic losses caused by load shedding. The AHP algorithm is applied in this paper to determine the importance of loads and the importance of the different criteria when they are combined. The effectiveness of the proposed method is demonstrated through simulation of IEEE 16-bus microgrid with 6-source.

ACKNOWLEDGEMENTS

This work belongs to the project grant No: B2020-SPK-03 funded by Ministry of Education and Training, and hosted by Ho Chi Minh City University of Technology and Education, Vietnam.

Additional information

Funding

This work belongs to the project grant No: B2020-SPK-03 funded by Ministry of Education and Training, and hosted by Ho Chi Minh City University of Technology and Education, Vietnam.

Notes on contributors

An Thai Nguyen

Phung Bao Long Nguyen is currently fourth-year student and research assistant with the Faculty Electrical and Electronics Engineering in Ho Chi Minh City University of Technology and Education (HCMUTE), Vietnam. He is pursuing the engineering degree in electrical engineering at HCMC University of Technology and Education. His major is electrical and electronics engineering. Email: [email protected]

Trong Nghia Le

Trong Nghia Le received his MSc degree in electrical engineering from Ho Chi Minh City University of Technology and Education (HCMUTE), Vietnam, in 2012. Currently, he is a lecturer in the Faculty Electrical and Electronics Engineering, HCMUTE. His main areas of research interests are load shedding in power systems, power systems stability and distribution network.

Huy Anh Quyen

Quyen Huy Anh received his PhD degree in power system from MPIE, Russia in 1993. Currently, he is a professor and lecturer in the Faculty Electrical and Electronics Engineering, HCMUTE. His main areas of research interests are modeling power systems, pattern recognition in dynamic stability of power systems, artificial intelligence. Email: [email protected]

Minh Vu Nguyen Hoang

Minh Vu Nguyen Hoang received his MSc degree in electrical engineering from Ho Chi Minh City University of Technology and Education, Vietnam. Currently, he is a vice rector, University of Architecture Ho Chi Minh City. His main areas of research interests are microgrid, sustainable development, urban planning. Email: [email protected]

Phung Bao Long Nguyen

Nguyen Thai An received his MSc degree in electrical engineering from Ho Chi Minh City University of Technology and Education (HCMUTE), Vietnam, in 2020. Currently, he is a lecturer in the Faculty Electrical and Electronics Engineering, HCMUTE. His main areas of research interests are load shedding in power systems and microgrid, power systems stability, and load forecasting, distribution network. Email: [email protected]

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