Renewable Generation and Transmission Expansion Planning Coordination with Energy Storage System: A Flexibility Point of View
This paper presents a method for coordinated network expansion planning (CNEP) in which the difference between the total cost and the flexibility benefit is minimized. In the proposed method, the generation expansion planning (GEP) of wind farms is coordinated with the transmission expansion plannin...
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doaj-5d7fc2496a174ee095631e8cd76aac5d2021-04-07T23:01:33ZengMDPI AGApplied Sciences2076-34172021-04-01113303330310.3390/app11083303Renewable Generation and Transmission Expansion Planning Coordination with Energy Storage System: A Flexibility Point of ViewMohammad Reza Ansari0Sasan Pirouzi1Mostafa Kazemi2Amirreza Naderipour3Mohamed Benbouzid4Department of Electrical Engineering, Shahreza Campus, University of Isfahan, Isfahan 8174673441, IranFaculty of Engineering, Semirom Branch, Islamic Azad University, Semirom, Esfahan 8661973575, IranDepartment of Electrical Engineering, Shahreza Campus, University of Isfahan, Isfahan 8174673441, IranInstitute of High Voltage & High Current, School of Electrical Engineering, Faculty of Engineering, Universiti Teknologi Malaysia, Johor Bahru 81310, MalaysiaInstitut de Recherche Dupuy de Lôme (UMR CNRS 6027 IRDL), University of Brest, UMR CNRS 6027 IRDL, 29238 Brest, FranceThis paper presents a method for coordinated network expansion planning (CNEP) in which the difference between the total cost and the flexibility benefit is minimized. In the proposed method, the generation expansion planning (GEP) of wind farms is coordinated with the transmission expansion planning (TEP) problem by using energy storage systems (ESSs) to improve network flexibility. To consider the impact of the reactive power in the CNEP problem, the AC power flow model is used. The CNEP constraints include the AC power flow equations, planning constraints of the different equipment, and the system operating limits. Therefore, this model imposes hard nonlinearity onto the problem, which is linearized by the use of first-order Taylor’s series and the big-M method as well as the linearization of the circular plane. The uncertainty of loads, the energy price, and the wind farm generation are modeled by scenario-based stochastic programming (SBSP). To determine the effectiveness of the proposed solution approach, it is tested on the IEEE 6-bus and 24-bus test systems using GAMS software.https://www.mdpi.com/2076-3417/11/8/3303coordinated network expansion planninglinear AC power flowstochastic problemuncertainty of forecasted error |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Mohammad Reza Ansari Sasan Pirouzi Mostafa Kazemi Amirreza Naderipour Mohamed Benbouzid |
spellingShingle |
Mohammad Reza Ansari Sasan Pirouzi Mostafa Kazemi Amirreza Naderipour Mohamed Benbouzid Renewable Generation and Transmission Expansion Planning Coordination with Energy Storage System: A Flexibility Point of View Applied Sciences coordinated network expansion planning linear AC power flow stochastic problem uncertainty of forecasted error |
author_facet |
Mohammad Reza Ansari Sasan Pirouzi Mostafa Kazemi Amirreza Naderipour Mohamed Benbouzid |
author_sort |
Mohammad Reza Ansari |
title |
Renewable Generation and Transmission Expansion Planning Coordination with Energy Storage System: A Flexibility Point of View |
title_short |
Renewable Generation and Transmission Expansion Planning Coordination with Energy Storage System: A Flexibility Point of View |
title_full |
Renewable Generation and Transmission Expansion Planning Coordination with Energy Storage System: A Flexibility Point of View |
title_fullStr |
Renewable Generation and Transmission Expansion Planning Coordination with Energy Storage System: A Flexibility Point of View |
title_full_unstemmed |
Renewable Generation and Transmission Expansion Planning Coordination with Energy Storage System: A Flexibility Point of View |
title_sort |
renewable generation and transmission expansion planning coordination with energy storage system: a flexibility point of view |
publisher |
MDPI AG |
series |
Applied Sciences |
issn |
2076-3417 |
publishDate |
2021-04-01 |
description |
This paper presents a method for coordinated network expansion planning (CNEP) in which the difference between the total cost and the flexibility benefit is minimized. In the proposed method, the generation expansion planning (GEP) of wind farms is coordinated with the transmission expansion planning (TEP) problem by using energy storage systems (ESSs) to improve network flexibility. To consider the impact of the reactive power in the CNEP problem, the AC power flow model is used. The CNEP constraints include the AC power flow equations, planning constraints of the different equipment, and the system operating limits. Therefore, this model imposes hard nonlinearity onto the problem, which is linearized by the use of first-order Taylor’s series and the big-M method as well as the linearization of the circular plane. The uncertainty of loads, the energy price, and the wind farm generation are modeled by scenario-based stochastic programming (SBSP). To determine the effectiveness of the proposed solution approach, it is tested on the IEEE 6-bus and 24-bus test systems using GAMS software. |
topic |
coordinated network expansion planning linear AC power flow stochastic problem uncertainty of forecasted error |
url |
https://www.mdpi.com/2076-3417/11/8/3303 |
work_keys_str_mv |
AT mohammadrezaansari renewablegenerationandtransmissionexpansionplanningcoordinationwithenergystoragesystemaflexibilitypointofview AT sasanpirouzi renewablegenerationandtransmissionexpansionplanningcoordinationwithenergystoragesystemaflexibilitypointofview AT mostafakazemi renewablegenerationandtransmissionexpansionplanningcoordinationwithenergystoragesystemaflexibilitypointofview AT amirrezanaderipour renewablegenerationandtransmissionexpansionplanningcoordinationwithenergystoragesystemaflexibilitypointofview AT mohamedbenbouzid renewablegenerationandtransmissionexpansionplanningcoordinationwithenergystoragesystemaflexibilitypointofview |
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1721535733147107328 |