Environmental Constrained Optimal Hybrid Energy Storage System Planning for an Indian Distribution Network

In recent days, aiming for power generation with less carbon emission, led to the high penetration of renewable energy into the distribution grid. To improve the intermittency caused by renewables and to increase the grid flexibility, grid integrated Energy Storage Units (ESUs) are proposed as the p...

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Main Authors: V. Balaji Venkateswaran, Devender Kumar Saini, Madhu Sharma
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9099520/
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spelling doaj-debe10acdda7462e8a8de607e16b94352021-09-10T23:00:09ZengIEEEIEEE Access2169-35362020-01-018977939780810.1109/ACCESS.2020.29973389099520Environmental Constrained Optimal Hybrid Energy Storage System Planning for an Indian Distribution NetworkV. Balaji Venkateswaran0https://orcid.org/0000-0001-8257-6000Devender Kumar Saini1https://orcid.org/0000-0002-5720-4384Madhu Sharma2Electrical and Electronics Engineering Department, University of Petroleum and Energy Studies, Dehradun, IndiaElectrical and Electronics Engineering Department, University of Petroleum and Energy Studies, Dehradun, IndiaElectrical and Electronics Engineering Department, University of Petroleum and Energy Studies, Dehradun, IndiaIn recent days, aiming for power generation with less carbon emission, led to the high penetration of renewable energy into the distribution grid. To improve the intermittency caused by renewables and to increase the grid flexibility, grid integrated Energy Storage Units (ESUs) are proposed as the promising solution in the literature. However, considering the investment cost, ESUs are optimally placed by satisfying the network electrical constraints. On the other hand, consideration of environmental impacts and other practical constraints are also equally important. Therefore, in this article, on top of grid performance parameters, realistic parameters that may affect the location and its size such as (1) environmental impact, (2) land requirement & its associated cost for ESU installation and (3) renewable purchase obligation are formulated in the objective function. Decision making on ESU installation is a planning activity, which follows uncertainty. Consequently, it is essential to model the uncertainty parameters into the objective function, for better planning. In this article, optimal planning of hybrid ESUs based on realistic parameters along with uncertainty is addressed. For this study, a practical 156-bus distribution system of Dehradun district, India is considered. From the results obtained, it is evident that, formulating hybrid ESU constrained with the environmental impact has significantly decreased the emission of CO2 with maximum grid stability.https://ieeexplore.ieee.org/document/9099520/Batteriesdistributed power generationenvironmental economicspower system planningsustainable development
collection DOAJ
language English
format Article
sources DOAJ
author V. Balaji Venkateswaran
Devender Kumar Saini
Madhu Sharma
spellingShingle V. Balaji Venkateswaran
Devender Kumar Saini
Madhu Sharma
Environmental Constrained Optimal Hybrid Energy Storage System Planning for an Indian Distribution Network
IEEE Access
Batteries
distributed power generation
environmental economics
power system planning
sustainable development
author_facet V. Balaji Venkateswaran
Devender Kumar Saini
Madhu Sharma
author_sort V. Balaji Venkateswaran
title Environmental Constrained Optimal Hybrid Energy Storage System Planning for an Indian Distribution Network
title_short Environmental Constrained Optimal Hybrid Energy Storage System Planning for an Indian Distribution Network
title_full Environmental Constrained Optimal Hybrid Energy Storage System Planning for an Indian Distribution Network
title_fullStr Environmental Constrained Optimal Hybrid Energy Storage System Planning for an Indian Distribution Network
title_full_unstemmed Environmental Constrained Optimal Hybrid Energy Storage System Planning for an Indian Distribution Network
title_sort environmental constrained optimal hybrid energy storage system planning for an indian distribution network
publisher IEEE
series IEEE Access
issn 2169-3536
publishDate 2020-01-01
description In recent days, aiming for power generation with less carbon emission, led to the high penetration of renewable energy into the distribution grid. To improve the intermittency caused by renewables and to increase the grid flexibility, grid integrated Energy Storage Units (ESUs) are proposed as the promising solution in the literature. However, considering the investment cost, ESUs are optimally placed by satisfying the network electrical constraints. On the other hand, consideration of environmental impacts and other practical constraints are also equally important. Therefore, in this article, on top of grid performance parameters, realistic parameters that may affect the location and its size such as (1) environmental impact, (2) land requirement & its associated cost for ESU installation and (3) renewable purchase obligation are formulated in the objective function. Decision making on ESU installation is a planning activity, which follows uncertainty. Consequently, it is essential to model the uncertainty parameters into the objective function, for better planning. In this article, optimal planning of hybrid ESUs based on realistic parameters along with uncertainty is addressed. For this study, a practical 156-bus distribution system of Dehradun district, India is considered. From the results obtained, it is evident that, formulating hybrid ESU constrained with the environmental impact has significantly decreased the emission of CO2 with maximum grid stability.
topic Batteries
distributed power generation
environmental economics
power system planning
sustainable development
url https://ieeexplore.ieee.org/document/9099520/
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AT devenderkumarsaini environmentalconstrainedoptimalhybridenergystoragesystemplanningforanindiandistributionnetwork
AT madhusharma environmentalconstrainedoptimalhybridenergystoragesystemplanningforanindiandistributionnetwork
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