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Sabramooz, Sara
- Security Constrained Generation Scheduling Using Harmony Search Optimization Case Study: Day-ahead Heat and Power Scheduling
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Authors
Affiliations
1 Department of Electrical Engineering, Science and Research Branch, Islamic Azad University, Fars, IR
2 Department of Environment and Energy, Science and Research Branch, Islamic Azad University, Tehran, IR
3 Department of Electrical Engineering, Shoushtar Branch, Islamic Azad University, Shoushtar, IR
1 Department of Electrical Engineering, Science and Research Branch, Islamic Azad University, Fars, IR
2 Department of Environment and Energy, Science and Research Branch, Islamic Azad University, Tehran, IR
3 Department of Electrical Engineering, Shoushtar Branch, Islamic Azad University, Shoushtar, IR
Source
Indian Journal of Science and Technology, Vol 5, No 1 (2012), Pagination: 1812-1820Abstract
Security Constraint Generation Scheduling (SCGS) is one of the most important issues in modern power system shortterm operation. In the SCGS the optimal and secure operation of power system has been taken into account. SCGS includes the timing and production of available energy resources in order to maintaining customer demands. In this paper, we present a new approach for SCGS in Day-Ahead market considering both heat and power demands entire the system. Harmony Search Algorithm, (HSA) which is a recent meta-heuristic optimization algorithms is addressed in this paper to solve the SCGS problem which is a large-scale, non-convex, nonlinear with both continuous and discrete variables. It is shown that HSA, as a meta-heuristic optimization algorithm, may solve power system scheduling problem (Heat and Power) in a better fashion in comparison with the other evolutionary search algorithm that are implemented in such complicated issue. HSA was conceptualized using the musical process of searching for a perfect state of harmony. Compared to the earlier meta-heuristic optimization algorithms, HSA imposes fewer mathematical requirements that can be easily adopted for various types of engineering optimization problems, such as Combined Heat and Power SCGS (CHP-SCGS). An adopted case study is conducted to facilitate the effectiveness of the proposed method. This case study is recently presented in order to analysis the Day-Ahead power system studies with a 24-h scheduling horizon, which considers the Hydro-Thermal and conventional Unit Commitment (UC) problem. Simulation results show the effectiveness and fastness of the proposed method.Keywords
Combined Heat and Power, Security Constrained Generation Scheduling, Harmony Search AlgorithmFull Text
References
- Afkousi-Paqaleh M, Rashidinejad M, and Pourakbari- Kasmaei M (2010) An implementation of harmony search algorithm to unit commitment problem. Electr. Eng. 92, 215-25.
- Aghamohammadi MR (2008) Static Security Constrained Generation Scheduling using sensitivity characteristics of neural network. Iranian J. Electrical & Electronic Engg. 4(3),104-14.
- Biskas PN and Bakirtizis AG (2004) Decentralized security constrained DC-OPF of interconnected power systems. IEE Proc. Gener. Transm. Distrib. 151(6), 747-56.
- Coelho, Leandro dos Santos and Mariani, Viviana Cocco (2009) An improved harmony search algorithm for power economic load dispatch. Energy Conversion & Management. 50(10), 2522-26.
- Deb K et al. (2002) A fast and elitist multiobjective genetic algorithm: NSGA-II. IEEE Trans. Evolut. Comput., 6(2), 182-97.
- Dieu V N and Ongsakul W (2008) Combined Heat and Power Economic Dispatch by Augmented Lagrange Hopfield Network. 16th PSCC (Glasgow, Scotland).
- Dillon TS et al. (1978) Integer programming approach to the problem of optimal unit commitment with probabilistic reserve determination. IEEE Trans. Power Apparat. Syst. PAS-97, 2154-66.
- Fesanghary M et al. (2008) Hybridizing harmony search algorithm with sequential quadratic programming for engineering optimization problems. Comput. Methods Appl. Mech. Eng., 197 (33-40), 3080-91.
- Fu, Yong, Shahidehpour M and Zuyi Li (2005) Security-Constrained Unit Commitment With AC Constraints. IEEE Trans. Power Syst., 20 (2), 1538- 50.
- Geem ZW (2007) Novel Derivative of Harmony Search Algorithm for Discrete Design Variables. Appl. Math. Computation, 199 (1), 223-230.
- Geem ZW, Kim JH and Loganathan GV (2001) A new heuristic optimization algorithm: harmony search. Simulati, 76 (2), 60-68.
- Guo T, Henwood MI and Ooijen MV (1996) An algorithm for combined heat and power economic dispatch. IEEE Trans. Power Syst., 11,1778-1784.
- Javadi, Mohammad Sadegh (2011a) Incidence Matrix- Based LMP calculation: algorithm and applications. Intl. J. Multidisciplinary Sci. Engg. (IJMSE). 2(5),48- 52.
- Javadi Mohammad Sadegh (2011b) Two-Stage stochastic DCOPF approach considering minimum load curtailment. Intl. J. Multidisciplinary Sci. Engg. 2(6),5-9.
- Javadi, Mohammad Sadegh, Azami, Rahmat and Hassan, Monsef (2009) Security Constrained Unit Commitment of interconnected power systems. Intl. Rev.Electrical Engg. I.R.E.E. 4(2), 199-205.
- Kang SL and Geem ZW (2004) A new structural optimization method based on the harmony search algorithm. Comput Structure. 82, 781-98.
- Lee KS and Geem ZW (2004) A new meta-heuristic algorithm for continuous engineering optimization: harmony search theory and practice. Comput Math. Appl. Mech. 194, 3902-33.
- Mahdavi M, Fesanghary M and Damangir E (2007) An improved harmony search algorithm for solving optimization problems. Appl. Math. Computation. 188 (2),1567-79.
- Merritt WC et al. (1988) Security constraints optimization—a case study. IEEE Trans. Power Syst. 3(3), 970-77.
- Momoh, James and Mili, Lamine (2010) Economic Market Design and Planning for Electric Power Systems. Mohamed E. El-Hawary (ed.), John Wily & Sons, Inc., Hoboken, New Jersey.
- Rong A and Lahdelma R (2007) An efficient envelopebased branch-and-bound algorithm for non-convex combined heat and power production planning, Eur. J. Oper. Res.183, 412-31.
- Salgado, Fabricio and Pedrero, Pedro (2008) Shortterm operation planning on cogeneration systems: A survey', Electric Power Systems Research. 78 (5), 835-48.
- Sheble GB, Charles W and Richter Jr (2006) A profitbased unit commitment GA for the competitive environment. IEEE/PES, 96WM (NY). 190-99.
- Sivasubramani S and Swarup KS (2011) Multiobjective harmony search algorithm for optimal power flow problem. Intl. J. Electrical Power & Amp; Energy Systems. 33(3),745-52.
- Vasebi A, Fesanghary M and Bathaee SMT (2007) Combined heat and power economic dispatch by harmony search algorithm. Intl. J. Electrical Power & Amp; Energy Systems. 29(10), 713-19.
- Wang, Lingfeng and Singh, Chanan (2008) Stochastic economic emission load dispatch through a modified particle swarm optimization algorithm. Electric Power Systems Res. 78(8),1466-76.
- Wang S and Shahidehpour M (1994) Ramp-rate limits in unit commitment and economic dispatch incorporating rotor fatigue effect. IEEE Trans. Power Syst. 9(3), 1539-45.
- Wang S et al. (1995) Short-term generation scheduling with transmission and environmental constraints using an augmented Lagrangian relaxation. IEEE Trans. Power Syst. 10(3), 1294–301.