Published September 2009 | Version v1
Journal article

Analysis of impacts of wind integration in the Tamil Nadu grid

  • 1. Department of Energy Science and Engineering, Indian Institute of Technology Bombay, Powai, Mumbai 400 076 (India)

Description

As the share of wind in power systems increases, it is important to assess the impact on the grid. This paper combines analysis of load and generation characteristics, generation adequacy and base and peak load variations to assess the future role of wind generation. A simulation of Tamil Nadu in India, with a high penetration of wind power (27% by installed capacity), shows a capacity credit of 22% of the installed wind capacity. For seasonal wind regimes like India, neither the capacity factor, nor the capacity credit reflects the monthly variation in the wind generation. A new approach based on the annual load duration curve has been proposed for generation expansion planning with higher penetration of wind. The potential savings in base and peak capacity required with increasing wind power have been quantified. A future scenario for Tamil Nadu for 2021 has been illustrated. It was found that 5500 MW of wind power can save 3200 MU of peak energy required or an average peak capacity of 2400 and 1100 MW of base capacity. This analysis would be useful to assess the future impacts of increasing wind capacity in grids.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.enpol.2009.04.045

Additional details

Identifiers

DOI
10.1016/j.enpol.2009.04.045;
PII
S0301-4215(09)00280-8;

Publishing Information

Journal Title
Energy Policy
Journal Volume
37
Journal Issue
9
Journal Page Range
p. 3693-3700
ISSN
0301-4215
CODEN
ENPYAC

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
41047548
Subject category
S24: POWER TRANSMISSION AND DISTRIBUTION; S29: ENERGY PLANNING, POLICY AND ECONOMY;
Descriptors DEI
CAPACITY; DIAGRAMS; INDIA; MONTHLY VARIATIONS; PEAK LOAD; PLANNING; POWER SYSTEMS; SIMULATION; WIND POWER
Descriptors DEC
ASIA; DEVELOPING COUNTRIES; ENERGY SOURCES; ENERGY SYSTEMS; INFORMATION; POWER; RENEWABLE ENERGY SOURCES; VARIATIONS

Optional Information

Copyright
Copyright (c) 2009 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.