Accommodating Uncertainties in Transmission System Augmentation Based on a Hybrid Scenario Approach – Iran Power Grid Application

M. R. Hesamzadeh(1*), H. Seifi(2), N. Hosseinzadeh(3)

(1) Central Queensland University, Qld 4701, Australia
(2) Tarbiat Modarres University, Tehran, Iran, Islamic Republic of
(3) Swinburne University of Technology, Hawthorn, VIC 3122, Australia
(*) Corresponding author


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Abstract


Transmission network expansion is an important part of power system planning. Uncertainties in the procedures of planning are rapidly increasing within new restructured power systems. As a result, new methodologies of Transmission Expansion Planning should be developed. In this paper a Hybrid Method along with four other algorithms, namely, Union method, Substitution Method, Generalized Backward Method, and Genetic Algorithm Method are proposed. It is demonstrated that the plans developed under these schemes are robust for all scenarios in spite of the uncertainties observed in all cases. Moreover, the solution is economical and applicable to large scale systems. The proposed methods have been successfully tested for three typical power systems, namely, a 6-bus and an 87-bus test system as well as the Iranian Power Grid, as a practical and large scale transmission
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Keywords


Uncertainties; Transmission Augmentation; Genetic Algorithm; Scenario Approach

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References


Graver LL. Transmission network expansion using linear programming. IEEE Trans. On Power Apparatus and Systems, Vol. PAS-89, no.7, pp. 1688-1697, Sept. /Oct. 1970.


http://dx.doi.org/10.1109/tpas.1970.292825

Tractebel(Belguim), Edwin van Geert. Increased uncertainty a new challenge for power system planners. printed and published by the institution of Electrical Engineers, Savoy place, London WC2Robl, UK, IEE report.

Lee STY, Hocks KL, and Hnyilicza E. Transmission expansion of branch-and-bound integer programming with optimal cost-capacity curves. IEEE Trans. On Power Apparatus and Systems, Vol. PAS-93, pp.1390-1400, Aug.1974.
http://dx.doi.org/10.1109/tpas.1974.293869

Dechamps C and Jamoulle E .Interactive computer program for planning the expansion of meshed transmission networks. Elect. Power & Energy Syst., Vol.2, no.2, 103-108, Apr. 1980.
http://dx.doi.org/10.1016/0142-0615(80)90016-2

Pereira MVF ,and Pinto LMVG . Application of sensitivity analysis of load supplying capacity to interactive transmission expansion planning. IEEE Trans. On Power Apparatus and Systems, Vol. PAS-104, pp. 381-389, Feb. 1985.
http://dx.doi.org/10.1109/tpas.1985.319053

Romero R and Monticelli A . A hierarchical decomposition approach for transmission network expansion planning. IEEE Trans. On Power Systems, Vol.9, pp. 373-380, Feb. 1994.
http://dx.doi.org/10.1109/59.317588

Binato S, Pereira MV, and Granville S. A new benders decomposition approach to solve power transmission network design problems. IEEE Trans. On Power Systems, Vol. 16 , pp. 235-240, May 2001.
http://dx.doi.org/10.1109/59.918292

Romero R, Gnllego RA, and Monticelli A. Transmission system expansion planning by simulated annealing. IEEE Trans. On Power Systems, Vol.11, pp. 364-349, Feb. 1996.
http://dx.doi.org/10.1109/59.486119

Silva EL, Gil HA, and Areiza JM. Transmission network expansion planning under an improved genetic algorithm. IEEE Trans. On Power Systems, Vol. 15, pp.1168-1175, Aug. 2000.
http://dx.doi.org/10.1109/59.871750

Gallego RA, Romero R, and Monticelli AJ. Tabu search algorithm for network synthesis. IEEE Trans. On Power Systems, Vol. 15, pp. 490-495, May 2000.
http://dx.doi.org/10.1109/59.867130

Binato S, Couto de Oliveira G, and Lizardo de Araujo J. A greedy randomized adaptive search procedure for transmission expansion planning. IEEE Trans. On Power Systems, Vol. 16, pp.247-253,May 2001.
http://dx.doi.org/10.1109/59.918294

Bahiense L, Oliveira GC, Pereira M, and Granville S. A mixed integer disjunctive model for transmission network expansion. IEEE Trans. On Power Systems, Vol. 16, pp. 560-565, Aug. 2001.
http://dx.doi.org/10.1109/59.932295

Crousillat ED, Dorfner P, Alvarado P, and Merrill HM. Conflicting objectives and risk in power system planning. IEEE Trans. on Power systems, Vol.8, No.3, Aug.1993,pp. 887-893
http://dx.doi.org/10.1109/59.260914

Van Greet E, Glende I, Halberg N., et al. Dealing with uncertainty in system planning-hos flexibility proved to be an adequate answer? Electra 1993; 151: 53-66.

Van Greet E, Glende I, Halberg N, et al. Methods for planning under uncertainty : towards flexibility in power system development. Electra 1995; 161: 143-163.

Glenn Koller.Risk modeling for determining value and decision making. Chapman & Hall, 2000.
http://dx.doi.org/10.1201/9781420035940

De la Torre, Felts WJ, Son Roman TG, Merril HM. Deregulation, privitization and competition: transmission planning under uncertainty. IEEE Trans. On power systems, Vol.14,No.2,May 1999,pp. 885-895

Fang R and Hill DJ. A new strategy for transmission expansion in competitive electricity markets. IEEE Trans. On power systems, vol. 18,no.1,feb.2003, pp. 885-895.
http://dx.doi.org/10.1109/tpwrs.2002.807083

Vassena S, Mack P, Rousseaux P, Druet C and Wehenkel L. A probabilistic approach to power systems network planning under uncertainty. IEEE Trans. On power systems 2003,pp. 679-687.
http://dx.doi.org/10.1109/ptc.2003.1304668

Fischl R. The identification of feasible strategies in the presence of uncertainties for planning and operating power systems. DOE progress report under contract Ec 77-S-02-4491, A000, Mar. 1979.

wang X, Mc Donald JR. Modern power system planning. Mc Graw-Hill Publications, 1994

Holland JH. Genetic algorithm. Scientific American, Vol.267,N1, July 1992, pp.66-73.

Goldberg and David E. Genetic algorithms in search, optimization, and machine learning. Addison Wesley, 1989.

Chung AS, and Wu F. An extensile genetic algorithm framework for problem solving in a common environment. IEEE Trans. On power systems, vol.15, no.1, Feb.2000.
http://dx.doi.org/10.1109/59.852132

Yokota T., Gen M., and Li YX. Genetic algorithm for non-linear mixed integer programming problems and its applications. Computers ind. & Eng. Vol.30, no.4, pp.905-917, 1996.
http://dx.doi.org/10.1016/0360-8352(96)00041-1

Romero R, Monticelli A, Garcia A and Haffner S. Test systems and mathematical models for transmission network expansion planning. IEE Proc.-Gener. Trans. Distrib., Vol.149,No. 1, January 2002.
http://dx.doi.org/10.1049/ip-gtd:20020026

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