Published March 1, 2015 | Version v1
Journal article

Optimal allocation of energy storage in a co-optimized electricity market: Benefits assessment and deriving indicators for economic storage ventures

Description

This paper presents a framework for optimally allocating storage technologies in a power system. This decision support tool helps in quantitatively answering the questions on "where to and how much to install" considering the profits from arbitrage opportunities in a co-optimized electricity market. The developed framework is illustrated on a modified IEEE (Institute of Electrical and Electronics Engineers) 24 bus RTS (Reliability Test System), and the framework finds the optimal allocation solution and the revenues storage earns at each of these locations. Bulk energy storage, CAES (compressed air energy storage) is used as the representative storage technology, and the benefits of optimally allocated storage integration onto the grid are compared with transmission expansion solution. The paper also discusses about system-level indicators to identify candidate locations for economical storage ventures, which are derived based on the optimal storage allocation solution; and applies the market price based storage venture indicators on MISO (Mid-continental Independent System Operator) and PJM (Pennsylvania-New Jersey-Maryland Interconnection) electricity markets. - Highlights: • Storage optimal allocation framework based on high-fidelity storage dispatch model. • Storage with transmission addresses energy and ancillary issues under high renewables. • Bulk storage earns higher revenues from co-optimization (∼10× energy only market). • Grid offers distributed opportunities for investing in a strategic mix of storage. • Storage opportunities depend on cross-arbitrage, as seen from MISO (Mid-continental Independent System Operator) and PJM (Pennsylvania-New Jersey-Maryland Interconnection) markets

Availability note (English)

Available from http://dx.doi.org/10.1016/j.energy.2014.12.016

Additional details

Identifiers

DOI
10.1016/j.energy.2014.12.016;
PII
S0360-5442(14)01374-7;

Publishing Information

Journal Title
Energy (Oxford)
Journal Volume
81
Journal Page Range
p. 175-188
ISSN
0360-5442
CODEN
ENEYDS

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
47022110
Subject category
S29: ENERGY PLANNING, POLICY AND ECONOMY;
Descriptors DEI
ALLOCATIONS; COMPRESSED AIR ENERGY STORAGE; ELECTRICITY; MARKET; MARYLAND; NEW JERSEY; OPTIMIZATION; PENNSYLVANIA; POWER SYSTEMS; PRICES; RELIABILITY
Descriptors DEC
DEVELOPED COUNTRIES; ENERGY STORAGE; ENERGY SYSTEMS; NORTH AMERICA; STORAGE; USA

Optional Information

Copyright
Copyright (c) 2014 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.