A4 Conference proceedings

Peak shaving potential of residential battery energy storage system under power-based tariff pricing


Publication Details
Authors: Nigmatulina Nelli, Belonogova Nadezda, Mendes Goncalo, Honkapuro Samuli
Publication year: 2020
Language: English
Related Journal or Series Information: CIRED - Open Access Proceedings Journal
Title of parent publication: CIRED Berlin 2020 Workshop
eISSN: 2515-0855
JUFO-Level of this publication: 1
Open Access: Not an Open Access publication

Abstract

Objective
The
focus is on analysis of the flexibility potential of the battery energy
storage among residential customers and its further use together with
photovoltaic panels and a variation of power-based tariff.

Context
The
decentralization of energy generation has brought many novel and
disrupting trends, boosting development of new services and technologies
in areas such as renewable energy, vehicle-to-grid, and battery energy
storage systems (BESS). The latter are one of the key elements in
facilitating a more flexible operation of electrical distribution
networks. By doing so, BESS unlock further grid penetration of renewable
energy sources, thus helping increase its hosting capacity. BESS also
promote a more active role of customers in the energy system, by opening
possibilities for customer-centric grid support services.

Approaches
This
paper addresses the above possibility, by looking at the flexibility of
BESS in coupled operation with solar PV and using real distribution
operator data. The data includes hourly load data from several thousand
rural and urban residential customers, corresponding to a measurement
period of about five years. Power production curves from over a hundred
installed PV systems were also used.

Methods
The
methodological framework followed assumes that every customer owns a
battery, the size of which depends on the customers’ electricity
consumption. It also considers that the battery’s capacity is available
for providing various grid services. The subscribed network capacity for
every customer is determined via customer load profiles. A
cost-effectiveness analysis is conduced, where several input parameters
were considered, namely the BESS installed cost and capacity,
power-based tariff data, specific peak power limits, etc. The BESS’s
flexibility is determined on the basis of the available battery’s
capacity, being further used for adjustments of customer power
consumption. A number of customer-specific peak power limits were
analysed and their effects on the customers’ load profile were
considered. Time-series analysis is conducted using the high-level
programming language Python.

Outcomes
The
outcomes consist of the changed load profiles of customers served by
various power-based tariff possibilities. The modification of the load
profiles is analysed for various specific peak power limits. Lastly, a
cost-benefit analysis is conducted for each of the various peak power
limits. It compares the customers’ power consumption costs without the
battery with the situation of use of BESS, self-consumption and
variation of specific peak power limits. This is performed for every
power band. An analysis of the most financially attractive combinations
is performed at the end of the paper.

Conclusion
The
analysis results in customer incentives for the transition to
power-based tariffs in systems with high self-consumption and BESS.


Last updated on 2020-03-12 at 15:32