System Reliability by Prediction of Generator Output and Losses in a Competitive Energy Market
In a competitive energy market, system reliability
should be maintained at all times. Power system operation being of
online in nature, the energy balance requirements must be satisfied to
ensure reliable operation the system. To achieve this, information
regarding the expected status of the system, the scheduled
transactions and the relevant inputs necessary to make either a
transaction contract or a transmission contract operational, have to be
made available in real time. The real time procedure proposed,
facilitates this. This paper proposes a quadratic curve learning
procedure, which enables a generator-s contribution to the retailer
demand, power loss of transaction in a line at the retail end and its
associated losses for an oncoming operating scenario to be predicted.
Matlab program was used to test in on a 24-bus IEE Reliability Test
System, and the results are found to be acceptable.
[1] Fernando.L, Alvarado, Robert J camfield, Rajesh Rajaraman. Proc. 30th
Hawaii International Conference on System Sciences: Advanced
Technology Track - Volume 5. pg 571.
[2] Bialek JW, P.A.Kattuman, Abi Samra.N, Electricity Tracing and Cooperative
Game theory. Proc. 13th power System computation
Conference. June 28-July 2. 1999.pp 238-243.
[3] Strbac G, Kirschen D, Ahmed S. Allocating Transmission System Usage
on the Basis of Traceable Contributions of Generators and Loads to
Flows. IEEE Transactions on Power Systems, 1998; 13 (2): 527-534.
[4] Bialek J. Identification of Source-Sink Connections in transmission
Networks. Proceedings of Power systems Control and Management,
1996; pp. 200-204.
[5] Bialek J. Tracing the Flow of Electricity. IEE proc. Gener. Trans.
Distrib, 1996; 143 (4): 313-320.
[6] Kirschen D, Allan R, Strbac G. Contribution of Individual Generators to
Loads and Flows. IEEE Transactions on Power Systems, 1997; 12 (1):
52-60.
[7] Bialek JW, Ziemianek S, Wallace R. A Methodology for Allocating
Transmission Losses Due to Cross-Border Trades. IEEE Transaction on
Power systems, 2004; 19 (3): 1255-1262.C. J. Kaufman, Rocky
Mountain Research Lab., Boulder, CO, private communication, May
1995.
[8] Bialek JW, Kattuman PA. Proportional sharing assumption in Tracing
Methodology. IEE Proc. Gener. Transm. Distrib, 2004; 151 (4): 526-
532.
[9] Sabestian P.Rosada, Nouredine Hadj Said. Tracing the Path of Electric
Power Flow - A Study for Deregulated Power Systems.
[1] Fernando.L, Alvarado, Robert J camfield, Rajesh Rajaraman. Proc. 30th
Hawaii International Conference on System Sciences: Advanced
Technology Track - Volume 5. pg 571.
[2] Bialek JW, P.A.Kattuman, Abi Samra.N, Electricity Tracing and Cooperative
Game theory. Proc. 13th power System computation
Conference. June 28-July 2. 1999.pp 238-243.
[3] Strbac G, Kirschen D, Ahmed S. Allocating Transmission System Usage
on the Basis of Traceable Contributions of Generators and Loads to
Flows. IEEE Transactions on Power Systems, 1998; 13 (2): 527-534.
[4] Bialek J. Identification of Source-Sink Connections in transmission
Networks. Proceedings of Power systems Control and Management,
1996; pp. 200-204.
[5] Bialek J. Tracing the Flow of Electricity. IEE proc. Gener. Trans.
Distrib, 1996; 143 (4): 313-320.
[6] Kirschen D, Allan R, Strbac G. Contribution of Individual Generators to
Loads and Flows. IEEE Transactions on Power Systems, 1997; 12 (1):
52-60.
[7] Bialek JW, Ziemianek S, Wallace R. A Methodology for Allocating
Transmission Losses Due to Cross-Border Trades. IEEE Transaction on
Power systems, 2004; 19 (3): 1255-1262.C. J. Kaufman, Rocky
Mountain Research Lab., Boulder, CO, private communication, May
1995.
[8] Bialek JW, Kattuman PA. Proportional sharing assumption in Tracing
Methodology. IEE Proc. Gener. Transm. Distrib, 2004; 151 (4): 526-
532.
[9] Sabestian P.Rosada, Nouredine Hadj Said. Tracing the Path of Electric
Power Flow - A Study for Deregulated Power Systems.
@article{"International Journal of Electrical, Electronic and Communication Sciences:50410", author = "Perumal Nallagownden and Ravindra N. Mukerjee and Syafrudin Masri", title = "System Reliability by Prediction of Generator Output and Losses in a Competitive Energy Market", abstract = "In a competitive energy market, system reliability
should be maintained at all times. Power system operation being of
online in nature, the energy balance requirements must be satisfied to
ensure reliable operation the system. To achieve this, information
regarding the expected status of the system, the scheduled
transactions and the relevant inputs necessary to make either a
transaction contract or a transmission contract operational, have to be
made available in real time. The real time procedure proposed,
facilitates this. This paper proposes a quadratic curve learning
procedure, which enables a generator-s contribution to the retailer
demand, power loss of transaction in a line at the retail end and its
associated losses for an oncoming operating scenario to be predicted.
Matlab program was used to test in on a 24-bus IEE Reliability Test
System, and the results are found to be acceptable.", keywords = "Deregulation, learning coefficients, reliability,prediction, competitive energy market.", volume = "4", number = "2", pages = "230-5", }