Abstract

The renewable energy transition has introduced new electricity tariff structures. With the increased penetration of photovoltaic and wind power systems, users are being charged more for their peak demand. Consequently, peak shaving has gained attention in recent years. In this paper, we investigated the potential of peak shaving through battery storage. The analyzed system comprises a battery, a load and the grid but no renewable energy sources. The study is based on 40 load profiles of low-voltage users, located in Belgium, for the period 1 January 2014, 00:00–31 December 2016, 23:45, at 15 min resolution, with peak demand pricing. For each user, we studied the peak load reduction achievable by batteries of varying energy capacities (kWh), ranging from 0.1 to 10 times the mean power (kW). The results show that for 75% of the users, the peak reduction stays below 44% when the battery capacity is 10 times the mean power. Furthermore, for 75% of the users the battery remains idle for at least 80% of the time; consequently, the battery could possibly provide other services as well if the peak occurrence is sufficiently predictable. From an economic perspective, peak shaving looks interesting for capacity invoiced end users in Belgium, under the current battery capex and electricity prices (without Time-of-Use (ToU) dependency).

Highlights

  • Over the past decade, most countries all over the world have taken action towards reducing their polluting emissions by investing in renewable energy sources

  • We review previous research works on peak shaving through battery storage

  • The results showed that adapting the peak shaving threshold in real-time leads to higher peak reduction than keeping a fixed threshold based only on a historic data analysis

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Summary

Introduction

Most countries all over the world have taken action towards reducing their polluting emissions by investing in renewable energy sources. Among those sources, photovoltaic (PV) solar panels and wind power systems have seen a significant growth [1]. PV-users pay less than non-PV users even though both of them use the grid almost to the same extent [6] To counteract such unfairness between different user groups and correctly attribute the costs to their origin, new tariff structures are being introduced that increase the weight factor for the peak demand component

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