Heuristic procedures for transmission planning in competitive electricity markets
- 1. Department of Electrical Engineering, Politecnico di Torino, I-10129 Turin (Italy)
- 2. Department of Electrical Engineering, Shanghai Jiao Tong University, 200030 Shanghai (China)
Description
The network structure of the power system, in an electricity market under the pool model, may have severe impacts on market performance, reducing market efficiency considerably, especially when producers bid strategically. In this context network re-enforcement plays a major role and proper strategies of transmission planning need to be devised. This paper presents, for pool-model electricity markets, two heuristic procedures to select the most effective subset of lines that would reduce the impacts on the market, from a set of predefined candidate lines and within the allowed budget for network expansion. A set of indices that account for the economic impacts of the re-enforcing of the candidate lines, both in terms of construction cost and market efficiency, are proposed and used as sensitivity indices in the heuristic procedure. The proposed methods are applied and compared with reference to an 18-bus test system. (author)
Availability note (English)
Available from Available from: http://dx.doi.org/10.1016/j.epsr.2006.10.003Additional details
Identifiers
Publishing Information
- Journal Title
- Electric Power Systems Research
- Journal Volume
- 77
- Journal Issue
- 10
- Journal Page Range
- p. 1337-1348
- ISSN
- 0378-7796
- CODEN
- EPSRDN
INIS
- Country of Publication
- Netherlands
- Country of Input or Organization
- Netherlands
- INIS RN
- 38085005
- Subject category
- S24: POWER TRANSMISSION AND DISTRIBUTION;
- Resource subtype / Literary indicator
- Numerical Data
- Descriptors DEI
- BUDGETS; COST; ECONOMIC IMPACT; EFFICIENCY; ELECTRICITY; ENFORCEMENT; MARKET; NUMERICAL DATA; PLANNING; POWER SYSTEMS; POWER TRANSMISSION; PROPOSALS; SENSITIVITY ANALYSIS
- Descriptors DEC
- DATA; ENERGY SYSTEMS; INFORMATION
Optional Information
- Notes
- Elsevier Ltd. All rights reserved