Voltage Profile Improving and Peak Shaving Using Multi-type Distributed Generators and Battery Energy Storage Systems in Distribution Networks

Bahman Ahmadi; Oguzhan Ceylan; Aydogan Ozdemir

doi:10.1109/UPEC49904.2020.9209880

Voltage Profile Improving and Peak Shaving Using Multi-type Distributed Generators and Battery Energy Storage Systems in Distribution Networks

Bahman Ahmadi
, Oguzhan Ceylan
, Aydogan Ozdemir

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

12 Citations (Scopus)

Abstract

Optimal sizing and siting of distributed generation (DG) units play an important role for improving voltage profile and reducing power losses. Moreover, battery energy storage system (BESS) units may help peak shaving. This paper presents a two stage approach, first of which aims optimal DG unit allocation, and second aims to determine optimal location and operation of BESS units. The problem formulation adopted due to the regulations in Turkey that supports DG units (Photovoltaics-PVs and Wind Turbines-WTs) with maximum unit size of 1 MW. A recently developed heuristic optimization method named as Harris hawks optimization (HHO) algorithm is used for obtaining near optimal solutions. We tested the developed model by using 33 and 141 bus distribution test systems.

Original language	English
Title of host publication	2020 55th International Universities Power Engineering Conference (UPEC)
Place of Publication	Piscataway, NJ
Publisher	IEEE
ISBN (Electronic)	978-1-7281-1078-3
ISBN (Print)	978-1-7281-1079-0
DOIs	https://doi.org/10.1109/UPEC49904.2020.9209880
Publication status	Published - Sept 2020
Externally published	Yes
Event	55th International Universities Power Engineering Conference, UPEC 2020 - Virtual, Torino, Italy Duration: 1 Sept 2020 → 4 Sept 2020 Conference number: 55

Conference

Conference	55th International Universities Power Engineering Conference, UPEC 2020
Abbreviated title	UPEC 2020
Country/Territory	Italy
City	Virtual, Torino
Period	1/09/20 → 4/09/20

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Battery energy storage system (BESS)
Distributed generation (DG)
Distribution networks (DNs)
Harris hawks optimization (HHO)
Optimization
n/a OA procedure

Access to Document

10.1109/UPEC49904.2020.9209880

Cite this

@inproceedings{1f8a4150936c4d33be69d34f5c520b6e,

title = "Voltage Profile Improving and Peak Shaving Using Multi-type Distributed Generators and Battery Energy Storage Systems in Distribution Networks",

abstract = "Optimal sizing and siting of distributed generation (DG) units play an important role for improving voltage profile and reducing power losses. Moreover, battery energy storage system (BESS) units may help peak shaving. This paper presents a two stage approach, first of which aims optimal DG unit allocation, and second aims to determine optimal location and operation of BESS units. The problem formulation adopted due to the regulations in Turkey that supports DG units (Photovoltaics-PVs and Wind Turbines-WTs) with maximum unit size of 1 MW. A recently developed heuristic optimization method named as Harris hawks optimization (HHO) algorithm is used for obtaining near optimal solutions. We tested the developed model by using 33 and 141 bus distribution test systems.",

keywords = "Battery energy storage system (BESS), Distributed generation (DG), Distribution networks (DNs), Harris hawks optimization (HHO), Optimization, n/a OA procedure",

author = "Bahman Ahmadi and Oguzhan Ceylan and Aydogan Ozdemir",

note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 55th International Universities Power Engineering Conference, UPEC 2020, UPEC 2020 ; Conference date: 01-09-2020 Through 04-09-2020",

year = "2020",

month = sep,

doi = "10.1109/UPEC49904.2020.9209880",

language = "English",

isbn = "978-1-7281-1079-0",

booktitle = "2020 55th International Universities Power Engineering Conference (UPEC)",

publisher = "IEEE",

address = "United States",

}

Ahmadi, B, Ceylan, O & Ozdemir, A 2020, Voltage Profile Improving and Peak Shaving Using Multi-type Distributed Generators and Battery Energy Storage Systems in Distribution Networks. in 2020 55th International Universities Power Engineering Conference (UPEC)., 9209880, IEEE, Piscataway, NJ, 55th International Universities Power Engineering Conference, UPEC 2020, Virtual, Torino, Italy, 1/09/20. https://doi.org/10.1109/UPEC49904.2020.9209880

Voltage Profile Improving and Peak Shaving Using Multi-type Distributed Generators and Battery Energy Storage Systems in Distribution Networks. / Ahmadi, Bahman; Ceylan, Oguzhan; Ozdemir, Aydogan.
2020 55th International Universities Power Engineering Conference (UPEC). Piscataway, NJ: IEEE, 2020. 9209880.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - Voltage Profile Improving and Peak Shaving Using Multi-type Distributed Generators and Battery Energy Storage Systems in Distribution Networks

AU - Ahmadi, Bahman

AU - Ceylan, Oguzhan

AU - Ozdemir, Aydogan

N1 - Conference code: 55

PY - 2020/9

Y1 - 2020/9

N2 - Optimal sizing and siting of distributed generation (DG) units play an important role for improving voltage profile and reducing power losses. Moreover, battery energy storage system (BESS) units may help peak shaving. This paper presents a two stage approach, first of which aims optimal DG unit allocation, and second aims to determine optimal location and operation of BESS units. The problem formulation adopted due to the regulations in Turkey that supports DG units (Photovoltaics-PVs and Wind Turbines-WTs) with maximum unit size of 1 MW. A recently developed heuristic optimization method named as Harris hawks optimization (HHO) algorithm is used for obtaining near optimal solutions. We tested the developed model by using 33 and 141 bus distribution test systems.

AB - Optimal sizing and siting of distributed generation (DG) units play an important role for improving voltage profile and reducing power losses. Moreover, battery energy storage system (BESS) units may help peak shaving. This paper presents a two stage approach, first of which aims optimal DG unit allocation, and second aims to determine optimal location and operation of BESS units. The problem formulation adopted due to the regulations in Turkey that supports DG units (Photovoltaics-PVs and Wind Turbines-WTs) with maximum unit size of 1 MW. A recently developed heuristic optimization method named as Harris hawks optimization (HHO) algorithm is used for obtaining near optimal solutions. We tested the developed model by using 33 and 141 bus distribution test systems.

KW - Battery energy storage system (BESS)

KW - Distributed generation (DG)

KW - Distribution networks (DNs)

KW - Harris hawks optimization (HHO)

KW - Optimization

KW - n/a OA procedure

UR - https://www.scopus.com/pages/publications/85095607047

U2 - 10.1109/UPEC49904.2020.9209880

DO - 10.1109/UPEC49904.2020.9209880

M3 - Conference contribution

SN - 978-1-7281-1079-0

BT - 2020 55th International Universities Power Engineering Conference (UPEC)

PB - IEEE

CY - Piscataway, NJ

T2 - 55th International Universities Power Engineering Conference, UPEC 2020

Y2 - 1 September 2020 through 4 September 2020

ER -

Voltage Profile Improving and Peak Shaving Using Multi-type Distributed Generators and Battery Energy Storage Systems in Distribution Networks

Abstract

Conference

UN SDGs

Keywords

Access to Document

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