DocumentCode
1148391
Title
Market-based transmission expansion planning
Author
Buygi, Majid Oloomi ; Balzer, Gerd ; Shanechi, Hasan Modir ; Shahidehpour, Mohammad
Author_Institution
Dept. of Electr. Eng., Ferdowsi Univ., Mashhad, Iran
Volume
19
Issue
4
fYear
2004
Firstpage
2060
Lastpage
2067
Abstract
Restructuring and deregulation has exposed transmission planner to new objectives and uncertainties. Therefore, new criteria and approaches are needed for transmission planning in deregulated environments. A new market-based approach for transmission planning in deregulated environments is presented in this paper. The main contribution of this research is: i) introducing a new probabilistic tool, named probabilistic locational marginal prices, for computing the probability density functions of nodal prices; ii) defining new market-based criteria for transmission expansion planning in deregulated environments; and iii) presenting a new approach for transmission expansion planning in deregulated environments using the above tool and criteria. The advantages of this approach are: i) it encourages and facilitates competition among all participants; ii) it provides nondiscriminatory access to cheap generation for all consumers; iii) it considers all random and nonrandom power system uncertainties and selects the final plan after risk assessment of all solutions; and iv) it is value based and considers investment cost, operation cost, congestion cost, load curtailment cost, and cost caused by system unreliability. The presented approach is applied to IEEE 30-bus test system.
Keywords
power markets; power transmission economics; power transmission planning; power transmission reliability; pricing; probability; risk management; IEEE 30-bus test system; congestion cost; investment cost; load curtailment cost; market-based criteria; market-based transmission expansion planning; operation cost; power system uncertainty; probabilistic locational marginal price; probability density function; risk assessment; system unreliability cost; Costs; Power generation; Power system analysis computing; Power system modeling; Power system planning; Power system reliability; Power systems; Risk management; Statistical distributions; Uncertainty; 65; Competitive electric markets; Monte Carlo methods; power transmission planning; price profile; risk analysis; scenario techniques; uncertainty;
fLanguage
English
Journal_Title
Power Systems, IEEE Transactions on
Publisher
ieee
ISSN
0885-8950
Type
jour
DOI
10.1109/TPWRS.2004.836252
Filename
1350848
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