Abstract
The deployment of distributed, behind-the-meter batteries operating on a peak-shaving mode, could benefit the electricity network, by providing optimal and location-specific services, increasing the penetration of intermittent renewable sources, and deferring costly network upgrades. However, the quantitative assessment of the benefits of load peak-shaving and its impact on the distribution network remains a challenge. The present paper introduces a metric of five indexes to evaluate the technical performances of load peak shaving. This metric is applied on a case study, based on a photovoltaic and battery system application for a test house in Northern Ireland, whose electricity demand is representative of the average UK demand profile. Two peak shaving strategies are compared with a more usual self-consumption mode, and the impact of the battery size is evaluated. Peak-shaving management strategies show promising performance by reducing peaks by more than 98%, while still decreasing the yearly consumption by 15%, and avoiding 75% of the photovoltaic-generated energy to be exported back to the grid. The economic analysis compared the net present values achieved under two different tariff policies. Using a peak-shaving incentivising tariff remunerating customers £0.24 per kWh of peak shaved allowed to maintain profitability with a capacity cost of up to £400/kWh, compared to only £150/kWh for a usual flat tariff scheme. Such an incentive is a step forward in promoting customers to purchase a larger battery and to operate it in a way that benefits the grid operator.
Original language | English |
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Article number | 101779 |
Journal | Journal of Energy Storage |
Volume | 32 |
Early online date | 19 Aug 2020 |
DOIs | |
Publication status | Published (in print/issue) - 1 Dec 2020 |
Keywords
- Peak Shaving
- Integrated Battery
- Energy Storage Control Strategies
- Decentralized Control
- Domestic Sector
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Caterina Brandoni
- Belfast School of Architecture & the Be - Senior Lecturer
- Faculty Of Computing, Eng. & Built Env. - Senior Lecturer
Person: Academic