REAL TIME CONGESTION MANAGEMENT IN DEREGULATED ELECTRICITY MARKET USING ARTIFICIAL NEURAL NETWORK

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BALARAMAN SUJATHA; KAMARAJ N.

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Journal Paper

Paper Information

Journal: IRANIAN JOURNAL OF ELECTRICAL AND COMPUTER ENGINEERING (IJECE) Year:2011 | Volume:10 | Issue:1 Page(s): 34-40

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Information Journal Paper

Title

REAL TIME CONGESTION MANAGEMENT IN DEREGULATED ELECTRICITY MARKET USING ARTIFICIAL NEURAL NETWORK

Author(s)

BALARAMAN SUJATHA | KAMARAJ N. | Issue Writer Certificate

Keywords

DEREGULATED ELECTRICITY MARKET

TRANSMISSION CONGESTION

CONTINGENCY ANALYSIS

ARTIFICIAL NEURAL NETWORK

((ANN))

BACK PROPAGATION (BP)

LEARNING METHOD

Abstract

Congestion management is one of the major tasks performed by system operators in deregulated environment to ensure the secure operation of transmission system. Congestion should be alleviated as fast as possible since it may lead to tripping of overloaded lines, consequential tripping of other lines, and in some cases to voltage stability problem. This paper proposes an intelligent technique based on neural network for on line congestion management in a pool based electricity market. The control action strategies to limit line loading to the security limits are by means of minimal adjustments in generations from the initial market clearing values. The training data are generated by solving the proposed congestion management problem for wide range of real and reactive power of loads with critical line outage using Differential Evolution (DE) as an optimization tool. The effectiveness of the proposed method is tested under different loading conditions with contingency in IEEE 30 Bus system. Test results validate the potential of the proposed method.

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APA: Copy

BALARAMAN, SUJATHA, & KAMARAJ, N.. (2011). REAL TIME CONGESTION MANAGEMENT IN DEREGULATED ELECTRICITY MARKET USING ARTIFICIAL NEURAL NETWORK. IRANIAN JOURNAL OF ELECTRICAL AND COMPUTER ENGINEERING (IJECE), 10(1), 34-40. SID. https://sid.ir/paper/283495/en

Vancouver: Copy

BALARAMAN SUJATHA, KAMARAJ N.. REAL TIME CONGESTION MANAGEMENT IN DEREGULATED ELECTRICITY MARKET USING ARTIFICIAL NEURAL NETWORK. IRANIAN JOURNAL OF ELECTRICAL AND COMPUTER ENGINEERING (IJECE)[Internet]. 2011;10(1):34-40. Available from: https://sid.ir/paper/283495/en

IEEE: Copy

SUJATHA BALARAMAN, and N. KAMARAJ, “REAL TIME CONGESTION MANAGEMENT IN DEREGULATED ELECTRICITY MARKET USING ARTIFICIAL NEURAL NETWORK,” IRANIAN JOURNAL OF ELECTRICAL AND COMPUTER ENGINEERING (IJECE), vol. 10, no. 1, pp. 34–40, 2011, [Online]. Available: https://sid.ir/paper/283495/en

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