Published August 2005 | Version v1
Journal article

Are deterministic methods suitable for short term reserve planning?

  • 1. Division of Applied Mechanics and Energy Conversion, University of Leuven (K.U. Leuven), Celestijnenlaan 300A, B-3001 Leuven (Belgium)

Description

Although deterministic methods for establishing minutes reserve (such as the N-1 reserve or the percentage reserve) ignore the stochastic nature of reliability issues, they are commonly used in energy modelling as well as in practical applications. In order to check the validity of such methods, two test procedures are developed. The first checks if the N-1 reserve is a logical fixed value for minutes reserve. The second test procedure investigates whether deterministic methods can realise a stable reliability that is independent of demand. In both evaluations, the loss-of-load expectation is used as the objective stochastic criterion. The first test shows no particular reason to choose the largest unit as minutes reserve. The expected jump in reliability, resulting in low reliability for reserve margins lower than the largest unit and high reliability above, is not observed. The second test shows that both the N-1 reserve and the percentage reserve methods do not provide a stable reliability level that is independent of power demand. For the N-1 reserve, the reliability increases with decreasing maximum demand. For the percentage reserve, the reliability decreases with decreasing demand. The answer to the question raised in the title, therefore, has to be that the probability based methods are to be preferred over the deterministic methods

Additional details

Identifiers

DOI
10.1016/j.enconman.2004.10.013;
PII
S0196-8904(04)00260-2;

Publishing Information

Journal Title
Energy Conversion and Management
Journal Volume
46
Journal Issue
13-14
Journal Page Range
p. 2042-2052
ISSN
0196-8904
CODEN
ECMADL

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
37039113
Subject category
S29: ENERGY PLANNING, POLICY AND ECONOMY;
Descriptors DEI
ENERGY CONSUMPTION; ENERGY DEMAND; EVALUATION; PLANNING; POWER DEMAND; PROBABILITY; RELIABILITY
Descriptors DEC
DEMAND

Optional Information

Copyright
Copyright (c) 2004 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.