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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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/ |
work_keys_str_mv |
AT vbalajivenkateswaran environmentalconstrainedoptimalhybridenergystoragesystemplanningforanindiandistributionnetwork AT devenderkumarsaini environmentalconstrainedoptimalhybridenergystoragesystemplanningforanindiandistributionnetwork AT madhusharma environmentalconstrainedoptimalhybridenergystoragesystemplanningforanindiandistributionnetwork |
_version_ |
1717757535146999808 |