Generation/Transmission Investment Planning Integrated With Market Equilibrium Models in Electricity Markets
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Date
2017
Authors
Çelebi, Emre
Journal Title
Journal ISSN
Volume Title
Publisher
IEEE Computer Society
Open Access Color
Green Open Access
Yes
OpenAIRE Downloads
0
OpenAIRE Views
2
Publicly Funded
No
Abstract
This paper introduces integrated models for transmission investments anticipating the generation investments and market-clearing equilibrium. Market-clearing models for deregulated electricity markets can inform decision makers on price signals formed in the competitive market other investor's and/or generator's behaviors underlying these price signals and new generation/transmission investment decisions. Bi-level programming problems are formed for this integrated models and reformulated by using mathematical programs with equilibrium constraints (MPEC). A simultaneous optimization model (as mixed complementarity problem-MCP) is proposed to compute the same equilibrium solution of the MPEC problem. The proposed MCP model is found to be computationally more efficient than the traditional MPEC reformulations on a simple 3-bus example. These models will be useful in planning generation/transmission investments and analyzing the relations among these investments and the market outcomes. © 2017 IEEE.
Description
Keywords
Generation and transmission investment models, Mathematical programs with equilibrium constraints (MPEC), Simultaneous optimization by mixed complementarity problem (MCP), Mathematical programs with equilibrium constraints (MPEC), Simultaneous optimization by mixed complementarity problem (MCP), Generation and transmission investment models
Fields of Science
0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology
Citation
WoS Q
Scopus Q
Q4

OpenCitations Citation Count
2
Source
2017 14th International Conference on the European Energy Market (EEM)
Volume
Issue
Start Page
1
End Page
6
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Citations
Scopus : 2
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Mendeley Readers : 4
SCOPUS™ Citations
2
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Web of Science™ Citations
2
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Page Views
5
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Downloads
194
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