Estimation of recovery cost with TCSC in dynamic economic dispatch

• Autorzy: Sekharan S. , Balasubramanian K.

Identyfikatory

DOI

10.15199/48.2017.05.06

Warianty tytułu

PL

Ocena kosztów odzysku w systemie ekonomicznego rozsyłu enegii wyposażżonego w TCSC

• Języki publikacji: EN

Abstrakty

EN

In this paper, Dynamic Economic Dispatch (DED) problem incorporating TCSC is solved using ABC algorithm. The percentage of cost recovered with the installation if TCSC is estimated. Here dispatch is carried out for a time horizon of 24 hours by considering the ramp up/down constraints along with the prevailing constraints. The percentage gain obtained with TCSC is demonstrated with respected to Equated Monthly Instalment (EMI) paid on the installation cost. The proposed methodology is tested and validated on South Indian 86 bus utility and an IEEE 118 bus test system.

PL

W artykule rozwiązywany jest problem Ekonomicznego Rozsyłu Energii DED w układzie z tyrystorowo sterowanymi kompensatorami TCSC. Oceniany jest procentowy koszt instalacji TCSC a następnie koszt rozsyłu energii w ciągu 24 godzin przy schodkowych zmianach wymuszeń. System przetestowano w układzie IEEE 118 w Południowych Indiach.

Słowa kluczowe

EN

dynamic economic dispatch; FACTS device; TCSC; ABC algorithm

PL

FACTS; ekonomiczny rozsył energii; TCSC

• Wydawca: Wydawnictwo SIGMA-NOT
• Czasopismo: Przegląd Elektrotechniczny
• Rocznik: 2017
• Tom: R. 93, nr 5
• Strony: 25--29
• Opis fizyczny: Bibliogr. 13 poz., tab., wykr.

Twórcy

autor

Sekharan S.

• Energy and Power Electronics Department, School of Electrical Engineering, Vellore Institute of Technology, Vellore -14, Tamil Nadu , India

autor

Balasubramanian K.

• Engineer, Saipem India Projects Private Limited,Chennai-34, India

Bibliografia

• [1] J. Jasper , Albert Aruldoss , Differential evolution with random scale factor for economic dispatch considering prohibited operating zones, Przegląd Elektrotechniczny ,05, (2003), 187- 191 X.S. Han, H.B. Gooi, D.S. Kirschen, Dynamic economic dispatch: feasible and optimal solutions, IEEE Transaction on Power systems, 16 (2001) , 22–28.
• [2] T.A.A. Victoire, A.E. Jeyakumar, Deterministically guided PSO for dynamic dispatch considering valve-point effect, Electric Power System Research, 73,(2005), 313–322.
• [3] Chaturvedi KT, Pandit M, Srivastava L, Particle swarm optimization with time varying acceleration coefficients for nonconvex economic power dispatch. International Journal of Electric Power and Energy Systems 31(6), (2009), 249–57.
• [4] Wong KP, Fung CC, Simulated annealing based economic dispatch algorithm ,IEE Proceedings on Generation Transmission and Distribution, 140(6), (1993), 509–515.
• [5] P. Attaviriyanupap, H. Kita, E. Tanaka, J. Hasegawa, A hybrid EP and SQP for dynamic economic dispatch with nonsmooth fuel cost function, IEEE Transaction on Power systems, 17(2002). 411–416.
• [6] Hindi, K., & Ghani, M, Dynamic economic dispatch for largescale power systems: A Lagrangian relaxation approach” Electric Power System Research, 13(1),(1991) 51–56.
• [7] Jabr, R., Coonick, A., & Cory, B, A homogeneous linear programming algorithm for the security constrained economic dispatch problem, IEEE Transactions on Power System, 15(3),(2000), 930–937.
• [8] Travers, D., & Kaye, R, Dynamic dispatch by constructive dynamic programming. “ IEEE Transactions on Power System, 13(1),(1998),72–78.
• [9] Narain G. Hingorani, Laszlo Gyugyi Understanding FACTS: concepts and technology of flexible AC transmission systems, IEEE Press, 2000
• [10] Enrique Acha, FACTS : Modelling and Simulation in Power Networks ‘ Wiley publishers
• [11] D. Karaboga, B. Basturk, On the performance of artificial bee colony (ABC) algorithm, Applied. Soft Computing. 8,(2000), 687–697
• [12] Dervis Karaboga *, Bahriye Akay ,A comparative study of Artificial Bee Colony algorithm, Applied Mathematics and Computation, 214, (2009),108–132.
• [13] K. Chandrasekaran, S. Hemamalini, Sishaj P. Simon, Narayana Prasad Padhy, Thermal unit commitment using binary/real coded artificial bee colony algorithm , Electric Power Systems Research 84 ,(2012),109–119.

Uwagi

Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę (zadania 2017).