Optimal Operation Method for Distribution Systems Considering Distributed Generators Imparted with Reactive Power Incentive

In order to solve urgent energy and environmental problems, it is essential to carry out high installation of distributed generation using renewable energy sources (RESs) and environmentally-friendly storage technologies. However, a high penetration of RESs usually leads to a conventional power syst...

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Main Authors: Ryuto Shigenobu, Mitsunaga Kinjo, Paras Mandal, Abdul Motin Howlader, Tomonobu Senjyu
Format: Article
Language:English
Published: MDPI AG 2018-08-01
Series:Applied Sciences
Subjects:
PSO
Online Access:http://www.mdpi.com/2076-3417/8/8/1411
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spelling doaj-313974a6aa49459ca7272aa09a5c66de2020-11-24T23:59:40ZengMDPI AGApplied Sciences2076-34172018-08-0188141110.3390/app8081411app8081411Optimal Operation Method for Distribution Systems Considering Distributed Generators Imparted with Reactive Power IncentiveRyuto Shigenobu0Mitsunaga Kinjo1Paras Mandal2Abdul Motin Howlader3Tomonobu Senjyu4Faculty of Engineering, University of the Ryukyus, 1 Senbaru, Nishihara-cho, Nakagami, Okinawa 903-0213, JapanFaculty of Engineering, University of the Ryukyus, 1 Senbaru, Nishihara-cho, Nakagami, Okinawa 903-0213, JapanDepartment of Electrical and Computer Engineering, Power and Renewable Energy Systems (PRES) Lab, University of Texas at El Paso, El Paso, TX 79968, USAHawaii Natural Energy Institute, University of the Hawaii, Manoa, 1860 East-West Rasd, Honolulu, HI 96822, USAFaculty of Engineering, University of the Ryukyus, 1 Senbaru, Nishihara-cho, Nakagami, Okinawa 903-0213, JapanIn order to solve urgent energy and environmental problems, it is essential to carry out high installation of distributed generation using renewable energy sources (RESs) and environmentally-friendly storage technologies. However, a high penetration of RESs usually leads to a conventional power system unreliability, instability and low power quality. Therefore, this paper proposes a reactive power control method based on the demand response (DR) program to achieve a safe, reliable and stable power system. This program does not enforce a change in the active power usage of the customer, but provides a reactive power incentive to customers who participate in the cooperative control of the distribution company (DisCo). Customers can achieve a reduction in their total energy purchase by gaining a reactive power incentive, whilst the DisCo can achieve a reduction of its total procurement of equipment and distribution losses. An optimal control schedule is calculated using the particle swarm optimization (PSO) method, and also in order to avoid over-control, a modified scheduling method that is a dual scheduling method has been adopted in this paper. The effectiveness of the proposed method was verified by numerical simulation. Then, simulation results have been analyzed by case studies.http://www.mdpi.com/2076-3417/8/8/1411reactive power incentiveBESSreactive power controlPSOdual schedulingrenewable energy sourcesdistributed generatordistribution system
collection DOAJ
language English
format Article
sources DOAJ
author Ryuto Shigenobu
Mitsunaga Kinjo
Paras Mandal
Abdul Motin Howlader
Tomonobu Senjyu
spellingShingle Ryuto Shigenobu
Mitsunaga Kinjo
Paras Mandal
Abdul Motin Howlader
Tomonobu Senjyu
Optimal Operation Method for Distribution Systems Considering Distributed Generators Imparted with Reactive Power Incentive
Applied Sciences
reactive power incentive
BESS
reactive power control
PSO
dual scheduling
renewable energy sources
distributed generator
distribution system
author_facet Ryuto Shigenobu
Mitsunaga Kinjo
Paras Mandal
Abdul Motin Howlader
Tomonobu Senjyu
author_sort Ryuto Shigenobu
title Optimal Operation Method for Distribution Systems Considering Distributed Generators Imparted with Reactive Power Incentive
title_short Optimal Operation Method for Distribution Systems Considering Distributed Generators Imparted with Reactive Power Incentive
title_full Optimal Operation Method for Distribution Systems Considering Distributed Generators Imparted with Reactive Power Incentive
title_fullStr Optimal Operation Method for Distribution Systems Considering Distributed Generators Imparted with Reactive Power Incentive
title_full_unstemmed Optimal Operation Method for Distribution Systems Considering Distributed Generators Imparted with Reactive Power Incentive
title_sort optimal operation method for distribution systems considering distributed generators imparted with reactive power incentive
publisher MDPI AG
series Applied Sciences
issn 2076-3417
publishDate 2018-08-01
description In order to solve urgent energy and environmental problems, it is essential to carry out high installation of distributed generation using renewable energy sources (RESs) and environmentally-friendly storage technologies. However, a high penetration of RESs usually leads to a conventional power system unreliability, instability and low power quality. Therefore, this paper proposes a reactive power control method based on the demand response (DR) program to achieve a safe, reliable and stable power system. This program does not enforce a change in the active power usage of the customer, but provides a reactive power incentive to customers who participate in the cooperative control of the distribution company (DisCo). Customers can achieve a reduction in their total energy purchase by gaining a reactive power incentive, whilst the DisCo can achieve a reduction of its total procurement of equipment and distribution losses. An optimal control schedule is calculated using the particle swarm optimization (PSO) method, and also in order to avoid over-control, a modified scheduling method that is a dual scheduling method has been adopted in this paper. The effectiveness of the proposed method was verified by numerical simulation. Then, simulation results have been analyzed by case studies.
topic reactive power incentive
BESS
reactive power control
PSO
dual scheduling
renewable energy sources
distributed generator
distribution system
url http://www.mdpi.com/2076-3417/8/8/1411
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