Multiple community energy storage planning in distribution networks using a cost-benefit analysis

Sardi, Junainah, Mithulananthan, N., Gallagher, M. and Hung, Duong Quoc (2017) Multiple community energy storage planning in distribution networks using a cost-benefit analysis. Applied Energy, 190 453-463. doi:10.1016/j.apenergy.2016.12.144

Author Sardi, Junainah
Mithulananthan, N.
Gallagher, M.
Hung, Duong Quoc
Title Multiple community energy storage planning in distribution networks using a cost-benefit analysis
Journal name Applied Energy   Check publisher's open access policy
ISSN 0306-2619
Publication date 2017-03-15
Sub-type Article (original research)
DOI 10.1016/j.apenergy.2016.12.144
Open Access Status Not yet assessed
Volume 190
Start page 453
End page 463
Total pages 11
Place of publication Kidlington, Oxford, United Kingdom
Publisher Pergamon Press
Language eng
Subject 2205 Civil and Structural Engineering
2100 Energy
Abstract This paper proposes a strategy for optimal allocation of multiple Community Energy Storage (CES) units in a distribution system with photovoltaic (PV) generation. The main contribution of this strategy is it considers all possible benefits accrued from and costs incurred by CES deployment to a utility. The benefits are gained from energy arbitrage, peaking power generation, energy loss reduction, system upgrade deferral, emission reduction and VAr support. A cost-benefit analysis is also conducted to identify the optimal Net Present Value (NPV), Discounted Payback Period (DPP) and Benefit-Cost ratio (BCR). Moreover, an optimal power factor approach is included in the analysis to dispatch CES units to improve load factors and voltage profiles. The probabilistic distribution of solar irradiance is also incorporated in the proposed strategy to consider the uncertainty of PV generation. Several sensitivity analyses are carried out to investigate the effects of PV penetration, load models and the number of CES units deployed on the profitability of CES investment. Numerical results show that the proposed strategy enables a power utility to identify the location, size and operational characteristic of CES units for maximizing the total NPV and enhancing load factors and voltage profiles.
Keyword Community energy storage planning
Cost-benefit analysis
Distributed generation
Load model
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: HERDC Pre-Audit
School of Information Technology and Electrical Engineering Publications
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