Published October 2008 | Version v1
Journal article

An improved mechanism for capacity payment based on system dynamics modeling for investment planning in competitive electricity environment

  • 1. Department of Electrical Engineering, Ferdowsi University of Mashhad, Mashhad (Iran, Islamic Republic of)

Description

Many countries have experienced restructuring in their electric utilities. This restructuring has presented the power industries with new challenges, the most important of which is long-term investment planning under uncertain conditions. This paper presents an improved mechanism for capacity payment. The mechanism has been investigated based on system dynamic modeling. In our proposed mechanism, generators will recover a part of their investment through capacity payment. While the payment for any plant remains constant during the operation period, it depends on the investment needed to build it. The main factors affecting long-term planning have been considered in our model. The approach can be used to investigate the effects of fixed as well as variable capacity payment in market investment. We used the probability density function of load as a new concept to calculate average market price. Delays in unit constructions, estimation of demand, and market capacity growth during construction periods have been included in the proposed algorithm as parameters, which affect the regulator's decision for changing capacity payment. The model can be used by regulators to investigate strategies that may affect the fluctuations in the market

Availability note (English)

Available from http://dx.doi.org/10.1016/j.enpol.2008.06.034

Additional details

Identifiers

DOI
10.1016/j.enpol.2008.06.034;
PII
S0301-4215(08)00339-X;

Publishing Information

Journal Title
Energy Policy
Journal Volume
36
Journal Issue
10
Journal Page Range
p. 3703-3713
ISSN
0301-4215
CODEN
ENPYAC

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
40016458
Subject category
S29: ENERGY PLANNING, POLICY AND ECONOMY;
Descriptors DEI
ALGORITHMS; CAPACITY; ELECTRIC POWER; ELECTRIC UTILITIES; ENVIRONMENT; INVESTMENT; MARKET; OPERATION; PLANNING; POWER DEMAND; PROBABILITY DENSITY FUNCTIONS; SIMULATION
Descriptors DEC
DEMAND; FUNCTIONS; MATHEMATICAL LOGIC; POWER; PUBLIC UTILITIES

Optional Information

Copyright
Copyright (c) 2008 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.