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A novel artificial neural network for power quality improvement in AC microgrid

International Journal of Power Electronics and Drive Systems · Vol. 12 No. 4 (2021) · hlm. 2151–2159

DOI
10.11591/ijpeds.v12.i4.pp2151-2159
ISSN
2722-256X, 2088-8694
Terbit
2021-12-01
Penerbit
Institute of Advanced Engineering and Science
Bahasa
eng
Lisensi
creativecommons.org/licenses/by-sa/4.0

Abstrak

The microgrid concept provides a flexible power supply to the utility where the conventional grid is unable to supply. The microgrid structure is based on renewable energy sources known as distributed generators (DGs) and the power network. Nevertheless, the power quality (PQ) is a great challenge in the microgrid concept. Particularly the inclusion of renewable energy sources into the conventional grids increases the problems in the quality of power, like voltage sag/swell, oscillatory transient, voltage flickering, and voltage notching which reduces the quality and reliability of the power supply. In this paper, a microgrid is considered which consists of PV cells as DG, battery energy storage system (BESS), and a novel control strategy known as the nonlinear autoregressive exogenous model (NARX). The proposed controller is an improved artificial neural network (ANN). The various case studies like sag/swell, unbalanced condition, and voltage deviation have been simulated with the model. The comprehensive simulation results are compared with the proportional-integral (PI) controller. Hence in this paper, the robustness of the proposed controller has been studied through different situations.

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  • Woosong University
  • KIIT University
  • Veer Surendra Sai University of Technology
  • Biju Patnaik University of Technology
  • REVA University
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Rekan penulisOrganisasiArtikel bersama
Rudranarayan SenapatiAfiliasi tidak diketahui10
Sivkumar MishraBiju Patnaik University of Technology6
Seong-Cheol KimWoosong University4
Papia RayVeer Surendra Sai University of Technology4
Sanchita SahayAfiliasi tidak diketahui4
Ayush KumarAfiliasi tidak diketahui4
Arun Kumar SahooAfiliasi tidak diketahui4
S. NarasimhaAfiliasi tidak diketahui3
Aditya Prasad MahapatraAfiliasi tidak diketahui2
Bishweashwar SuklaAfiliasi tidak diketahui2
Harikrishnan K. M.Afiliasi tidak diketahui2
Padarabinda PalaiAfiliasi tidak diketahui2
Nisha KediaAfiliasi tidak diketahui2
Raj Alpha SwainAfiliasi tidak diketahui2
Sandip Ranjan BeheraAfiliasi tidak diketahui2
Arul Kumar DashAfiliasi tidak diketahui2
Prajna Jeet OjhaAfiliasi tidak diketahui2
Lingam YashwanthAfiliasi tidak diketahui2
Peesodi UdayAfiliasi tidak diketahui2
Bhabesh RoutrayAfiliasi tidak diketahui2
Nitesh PattanayakAfiliasi tidak diketahui2
Priyansu ShekharAfiliasi tidak diketahui2
Pratyus Ranjan BeheraAfiliasi tidak diketahui2
Priyanka raiAfiliasi tidak diketahui2
Prince KumarAfiliasi tidak diketahui2
Prabin BiswalAfiliasi tidak diketahui2
Swayamjyoti SatapathyAfiliasi tidak diketahui2
Ritesh Kumar DashREVA University1
Sarat Chandra SwainKIIT University1
Chan-Mook JungWoosong University1
Pankaj SharmaWoosong University1
Monalisa PandaAfiliasi tidak diketahui1
Debani Prashad MishraAfiliasi tidak diketahui1
Sopa Mousumi PatroAfiliasi tidak diketahui1
Kalpa Ranjan BeheraAfiliasi tidak diketahui1

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Sumber metadata: OAI-PMH (metadata jurnal) http://ijpeds.iaescore.com/index.php/IJPEDS/oai, pertama di-harvest 8 Nov 2026, terakhir terlihat 8 Nov 2026.
Metadata asli (oai_dc) 
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	<dc:title xml:lang="en-US">A novel artificial neural network for power quality improvement in AC microgrid</dc:title>
	<dc:creator>Mishra, Debani Prasad</dc:creator>
	<dc:creator>Nayak, Amba Subhadarshini</dc:creator>
	<dc:creator>Tripathy, Truptasha</dc:creator>
	<dc:creator>Salkuti, Surender Reddy</dc:creator>
	<dc:creator>Mishra, Sanhita</dc:creator>
	<dc:subject xml:lang="en-US">Artificial neural network; Battery energy storage system; Distributed generators; Microgrid; Photovoltaic cell; Proportional integral controller</dc:subject>
	<dc:description xml:lang="en-US">The microgrid concept provides a flexible power supply to the utility where the conventional grid is unable to supply. The microgrid structure is based on renewable energy sources known as distributed generators (DGs) and the power network. Nevertheless, the power quality (PQ) is a great challenge in the microgrid concept. Particularly the inclusion of renewable energy sources into the conventional grids increases the problems in the quality of power, like voltage sag/swell, oscillatory transient, voltage flickering, and voltage notching which reduces the quality and reliability of the power supply. In this paper, a microgrid is considered which consists of PV cells as DG, battery energy storage system (BESS), and a novel control strategy known as the nonlinear autoregressive exogenous model (NARX). The proposed controller is an improved artificial neural network (ANN). The various case studies like sag/swell, unbalanced condition, and voltage deviation have been simulated with the model. The comprehensive simulation results are compared with the proportional-integral (PI) controller. Hence in this paper, the robustness of the proposed controller has been studied through different situations.</dc:description>
	<dc:publisher xml:lang="en-US">Institute of Advanced Engineering and Science</dc:publisher>
	<dc:contributor xml:lang="en-US">Woosong University's Academic Research Funding - 2021</dc:contributor>
	<dc:date>2021-12-01</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:type xml:lang="en-US"></dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://ijpeds.iaescore.com/index.php/IJPEDS/article/view/21397</dc:identifier>
	<dc:identifier>10.11591/ijpeds.v12.i4.pp2151-2159</dc:identifier>
	<dc:source xml:lang="en-US">International Journal of Power Electronics and Drive Systems (IJPEDS); Vol 12, No 4: December 2021; 2151-2159</dc:source>
	<dc:source>2722-256X</dc:source>
	<dc:source>2088-8694</dc:source>
	<dc:source>10.11591/ijpeds.v12.i4</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://ijpeds.iaescore.com/index.php/IJPEDS/article/view/21397/13611</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2021 Debani Prasad Mishra, Amba Subhadarshini Nayak, Truptasha Tripathy, Surender Reddy Salkuti, Sanhita Mishra</dc:rights>
	<dc:rights xml:lang="en-US">http://creativecommons.org/licenses/by-sa/4.0</dc:rights>
</oai_dc:dc>