Transmission network expansion planning considering unit commitment problem simultaneously

Transmission Network Expansion Planning (TNEP) is an important part of power system planning in new structured power market. Its goal is to minimize the network construction and operational cost while satisfying the demand increase, considering technical and economic conditions. Since change in Unit...

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Published in:2010 IEEE PES Innovative Smart Grid Technologies Conference Europe pp. 1 - 5
Main Authors: Golestani, S, Tadayon, M, Pirbazari, A M
Format: Conference Proceeding
Language:English
Published: IEEE 01.10.2010
Subjects:
Biological cells
Biological system modeling
Integer coded genetic algorithm
Power system reliability
Power transmission lines
Schedules
Transmission network expansion planning
Unit commitment
ISBN:9781424485086, 1424485088, 142448510X, 9781424485109
ISSN:2165-4816
Online Access:Get full text
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Abstract Transmission Network Expansion Planning (TNEP) is an important part of power system planning in new structured power market. Its goal is to minimize the network construction and operational cost while satisfying the demand increase, considering technical and economic conditions. Since change in Unit Commitment (UC), influences transmission lines, this paper presents an Integer Coded Genetic Algorithm (ICGA) to solve both problems together. Genetic algorithm can consider all generation and network constraints. Also random behavior of genetic algorithm can simulate real probabilities such as uncertainty in generation. Considering uncertainty for some units, in each iteration, it can find out the probability of congestion for each line. After all iterations it can highlight the transmission lines which need expansion, because of high congestion probability. Simulation results of the proposed idea are presented for IEEE30-bus network.
AbstractList Transmission Network Expansion Planning (TNEP) is an important part of power system planning in new structured power market. Its goal is to minimize the network construction and operational cost while satisfying the demand increase, considering technical and economic conditions. Since change in Unit Commitment (UC), influences transmission lines, this paper presents an Integer Coded Genetic Algorithm (ICGA) to solve both problems together. Genetic algorithm can consider all generation and network constraints. Also random behavior of genetic algorithm can simulate real probabilities such as uncertainty in generation. Considering uncertainty for some units, in each iteration, it can find out the probability of congestion for each line. After all iterations it can highlight the transmission lines which need expansion, because of high congestion probability. Simulation results of the proposed idea are presented for IEEE30-bus network.
Author Tadayon, M
Golestani, S
Pirbazari, A M
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  givenname: S
  surname: Golestani
  fullname: Golestani, S
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  organization: Energy Ind. Eng. & Design (EIED), Tehran, Iran
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  givenname: M
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  givenname: A M
  surname: Pirbazari
  fullname: Pirbazari, A M
  email: alime@student.chalmers.se
  organization: Chalmers Univ. of Technol., Göteborg, Sweden
BackLink https://research.chalmers.se/publication/216329$$DView record from Swedish Publication Index (Chalmers tekniska högskola)
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Snippet Transmission Network Expansion Planning (TNEP) is an important part of power system planning in new structured power market. Its goal is to minimize the...
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SubjectTerms Biological cells
Biological system modeling
Integer coded genetic algorithm
Power system reliability
Power transmission lines
Schedules
Transmission network expansion planning
Unit commitment
Title Transmission network expansion planning considering unit commitment problem simultaneously
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https://research.chalmers.se/publication/216329
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