Comparison of the Location and Rating of Energy Storage for Renewables Integration in Residential Low Voltage Networks with Overvoltage Constraints

Andrew F. Crossland, Darren Jones, Neal S. Wade and Sara L. Walker
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Andrew F. Crossland: Infratec, Te Aro, Wellington 6011, New Zealand
Darren Jones: Electricity North West Limited, Warrington WA3 6XG, UK
Neal S. Wade: School of Electrical and Electronic Engineering, Newcastle University, Newcastle NE1 7RU, UK
Sara L. Walker: School of Electrical and Electronic Engineering, Newcastle University, Newcastle NE1 7RU, UK

Energies, 2018, vol. 11, issue 8, 1-16

Abstract: Expansion of photovoltaic (PV) generation is increasing the challenge for network operators to keep voltages within operational limits. Voltage rise occurs in low voltage (LV) networks when distributed generators export, particularly at times of low demand. However, there is little work quantifying the scale of voltage issues and subsequently potential solutions across large numbers of real networks. In this paper, a method is presented to analyse a large quantity of geographically and topographically varying distribution networks. The impact of PV on voltages in 9163 real LV distribution networks is then quantified. One potential mitigation measure is increased network demand to reduce voltages. In this work, location algorithms are used to identify where increased demand, through energy storage, has the greatest effect on overvoltage. The study explores the impact on overvoltage of two modes of storage installation reflecting differing routes to adoption: purchase of storage by homeowners and purchase by network operators. These scenarios are compared with traditional re-conductoring in the 9163 networks. It is shown that to avoid violation of absolute voltage limits, storage should be installed at strategically important locations. Storage in homes reduces overvoltage, offering clear benefits to the network operator, but very wide deployment is required to completely remove the need for reinforcement.

Keywords: battery energy storage systems; planning; distributed generation; low voltage distribution network (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (7)

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