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2013 | OriginalPaper | Chapter

Optimization Approaches to Security-Constrained Unit Commitment and Economic Dispatch with Uncertainty Analysis

Authors : Dzung T. Phan, Ali Koc

Published in: Optimization and Security Challenges in Smart Power Grids

Publisher: Springer Berlin Heidelberg

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Abstract

At the heart of the future smart grid lie two related challenging optimization problems: unit commitment and economic dispatch. The contemporary practices such as intermittent renewable power, distributed generation, demand response, etc., induce uncertainty into the daily operation of an electric power system, and exacerbate the ability to handle the already complicated intermingled problems. We introduce the mathematical formulations for the two problems, present the current practice, and survey solution methods for solving these problems. We also discuss a number of important avenues of research that will receive noteworthy attention in the coming decade.

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Literature
Acar E, Agrawal B, Conn AR, Ditlow G, Feldmann P, Finkler U, Gaucher B, Gupta A, Heng F, Kalagnanam J, Koc A, Kung D, Phan D, Singhee A, Smith B, Xiong J (2011) Framework for large-scale modeling and simulation of electricity systems for planning, monitoring, and secure operations of next generation electricity grids. In: Proceedings of Computational Needs for the Next Generation Electric Grid, pp 1–73
Acha E, Fuerte-Esquivel CR, Ambriz-Pérez H, Angeles-Camacho C (eds) (2005) FACTS: modelling and simulation in power networks. Wiley, Chichester
Ahmed A, King A, Parija G (2003) A multistage stochastic integer programming approach for capacity expanstion under uncertainty. J Global Optim 26:3–24MathSciNetMATH
Alguacil N, Conejo A (2000) Multiperiod optimal power flow using Benders decomposition. IEEE Trans Power Syst 15(1):196–201
Alsac O, Bright J, Prais M, Stott B (1990) Further developments in LP-based optimal power flow. IEEE Trans Power Syst 5(3):697–711
Alsac O, Stott B (1974) Optimal load flow with steady state security. IEEE Trans Power App Syst PAS-93(3):745–751
Alves JMT, Borges CLT, Filho ALO (2007) Distributed security constrained optimal power flow integrated to a dsm based energy management system for real time power systems security control. In: VECPAR’06: Proceedings of the 7th international conference on high performance computing for computational science, Springer, Berlin, pp 131–144
van Amerongen RAM (1988) Optimal power flow solved with sequential reduced quadratic programming. Electr Eng 71(3):213–219
Aoki A, Satoh T, Itoh M, Ichimori T, Masegi K (1987) Unit commitment in a large scale power system including fuel constrained thermal and pumped storage hydro. IEEE Trans Power Syst 2:1077–1084
Arroyo JM, Conejo AJ (2000) Optimal response of a thermal unit to an electricity spot market. IEEE Trans Power Syst 15:1098–1104
Arroyo JM, Conejo AJ (2004) Modeling of start-up and shut-down power trajectories of thermal units. IEEE Trans Power Syst 19:1562–1568
Ayoub AK, Patton AD (1971) Optimal thermal generating unit commiment. IEEE Trans Power App Syst 90:1752–1756
Bai X, Wei H, Fujsawa K, Wang Y (2008) Semidefinite programming for optimal power flow problems. Int J Electr Power Energy Syst 30:383–392
Baldick R (1995) The generalized unit commitment problem. IEEE Trans Power Syst 10:465–475
Baldwin CJ, Dale KM, Dittrich RF (1959) A study of the economic shutdown of generating units in daily dispatch. AIEEE Trans Power App Syst Part III 78:1272–1284
Baptisella LFB, Geromel JC (1980) Decomposition approach to problem of unit commitment schedule for hydrothermal systems. IEEE Proc Control Theory Appl 127(6):250–258
Baptista EC, Belati EA, da Costa GRM (2005) Logarithmic barrier-augmented Lagrangian function to the optimal power flow problem. Int J Electr Power Energy Syst 27(7):528–532
Bard JF (1988) Short-term scheduling of thermal-electric generators using lagrangian relaxation. Oper Res 36(5):756–766MathSciNetMATH
Benders JF (1962) Partitioning procedures for solving mixed-variables programming problems. Numer Math 4:238–252MathSciNetMATH
Bertsekas DP, Lauer GS, Sandell NR, Posbergh TA (1983) Optimal short-term scheduling of large-scale power systems. IEEE Trans Autom Control 28:1–11MATH
Bertsimas D, Litvinov E, Sun XA, Zhao J, Zheng T (2013) Adaptive robust optimization for the security constrained unit commitment problem. IEEE Trans Power Syst 28(1):52–63
Birge J, Takriti S (2000) Using integer programming to refine lagrangian-based unit commitment solutions. IEEE Trans Power Syst 15:151–156
Bond SD, Fox B (1986) Optimal thermal unit scheduling using improved dynamic programming algorithm. In: IEEE Proceedings of generation, transmission and distribution, vol 133. pp 1–5
Bouffard F, Galiana FD, Arroyo JM (2005) Umbrella contingencies in security constrained optimal power flow. In: 15th power systems computation conference (PSCC 05). Liège, Belgium
Brini S, Abdallah HH, Ouali A (2009) Economic dispatch for power system included wind and solar thermal energy. Leonardo J Sci 14:204–220
Byrd RH, Nocedal J, Waltz RA (2006) KNITRO: An integrated package for nonlinear optimization. In: di Pillo G, Roma M (eds) Large scale nonlinear optimization. Springer, New York, pp 35–59
Capitanescu F, Glavic M, Ernst D, Wehenkel L (2007a) Contingency filtering techniques for preventive security-constrained optimal power flow. IEEE Trans Power Syst 22(4):1690–1697
Capitanescu F, Glavic M, Ernst D, Wehenkel L (2007b) Interior-point based algorithms for the solution of optimal power flow problems. Electr Power Syst Res 77(5–6):508–517
Capitanescu F, Wehenkel L (2007) Improving the statement of the corrective security-constrained optimal power flow problem. IEEE Trans Power Syst 22(2):887–889
Capitanescu F, Wehenkel L (2008) A new iterative approach to the corrective security-constrained optimal power flow problem. IEEE Trans Power Syst 23(4):1533–1541
Carpentier J (1962) Contribution to the economic dispatch problem. Bull. Soc. Franc. Elect. 8(3):431–447
Carpentier P, Cohen G, Culioli JC, Renaud R (1996) Stochastic optimization of unit commitment: a new decomposition framework. IEEE Trans Power Syst 11:1067–1073
Chang G, Tsai Y, Lai C, Chung J (2004) A practical mixed integer linear programming based approach for unit commitment. In: IEEE PES general meeting, vol 1, pp 221–225
Chen H, Wang X (2002) Cooperative coevolutionary algorithm for unit commitment. IEEE Trans Power Syst 16:128–133
Cheung K, Wang X, Chiu BC, Xiao Y, Rios-Zalapa R (2010) Generation dispatch in a smart grid environment. In: Innovative Smart Grid Technologies (ISGT). Washington, USA, pp 1–6
Chiang HD, Wang B, Jiang QY (2009) Applications of trust-tech methodology in optimal power flow of power systems. In: Kallrath J, Pardalos PM, Rebennack S, Scheidt M (eds) Optimization in the energy industry, energy systems. Springer, Berlin, pp 297–318
Cohen AI, Sherkat VR (1987) Optimization-based methods for operations scheduling. In: Proceedings of the IEEE 75:1574–1591
Cohen AI, Wan AH (1987) A method for solving the fuel constrained unit commitment problem. IEEE Trans Power Syst 2:608–614
Cohen AI, Yoshimura M (1983) A branch-and-bound algorithm for unit commitment. AIEEE Trans Power App Syst Part III 102:444–451
Contaxis GC, Delkis C, Korres G (1986) Decoupled optimal power flow using linear or quadratic programming. IEEE Trans Power Syst PWRS-1:1–7
Dasgupta D, McGregor DR (1994) Thermal unit commitment using genetic algorithms. In: IEE Proceedings, generation, transmission and distribution 141:459–465
Dillon T, Edwin K, Kochs H, Taud R (1978) Integer programming approach to the problem of optimal unit commitment with probabilistic reserve determination. IEEE Trans Power App Syst 97:2154–2166
Dragoon K, Milligan M (2003) Assessing wind integration costs with dispatch models: a case study of PacifiCorp. Windpower 2003, Austin
Ernst D, Ruiz-Vega D, Pavella M, Hirsch PM, Sobajic D (2001) A unified approach to transient stability contingency filtering, ranking and assessment. IEEE Trans Power Syst 16(3):435–443
Fu W, McCalley JD (2001) Risk based optimal power flow. In: 2001 IEEE Porto Power Tech Conference, Porto, Portugal
Fu Y, Shahidehpour SM, Li Z (2005) Security-constrained unit commitment with AC constraints. IEEE Trans Power Syst 20:1538–1550
Gabay D, Mercier B (1976) A dual algorithm for the solution of nonlinear variational problems via finite-element approximations. Comput Math Appl 2:17–40MATH
Gan D, Thomas R, Zimmerman R (2000) Stability-constrained optimal power flow. IEEE Trans Power Syst 15(2):535–540
Garver LL (1962) Power generation scheduling by integer programming—development of theory. AIEEE Trans Power App Syst Part III 81:730–734
Ghosh S, Kalagnanam JR, Katz D, Squillante MS, Zhang X (2011) Integration of demand response and renewable resources for power generation management. In: Proceedings of 1st IEEE power engineering society ISGT meeting
Glavitsch H, Bacher R (1991) Optimal power flow algorithms. In: Leondes CT (ed) Analysis and control system techniques for electric power systems, vol 41. Academic Press, New York
Glover JD, Sarma MS, Overbye TJ (2008) Power systems analysis and design. Thomson Learning, Toronto
Glowinski R, Marrocco A (1975) Sur l’approximation par èlèments finis d’ordre un, et la rsolution, par pnalisation-dualit, d’une classe de problèmes de Dirichlet non lineaires. RAIRO Anal Numèr 2:41–76MathSciNet
Gooi H, Mendes D, Bell K, Kirschen D (1999) Optimal scheduling of spinning reserve. IEEE Trans Power Syst 14(4):1485–1492
Gröve-Kuska N, Römisch W (2005) Stochastic unit commitment in hydrothermal power production planning. In: Wallace SW, Ziemba WT (eds) Applications of Stochastic Programming, SIAM, Philadelphia, pp 633–653
Guan X, Luh PB, Amalfi JA (1996) An optimization-based method for unit commitment. Int J Electr Power Energy Syst 14:9–17
Habibollahzadeh H, Bukenko JA (1986) Application of decomposition techniques to short-term operation planning of hydrothermal power system. IEEE Trans Power Syst 1:41–47
Hara K, Kimura M, Honda N (1966) A method for planning economic unit commitment and maintenance of thermal power systems. IEEE Trans Power App Syst 85:427–436
Hatami AR, Seifi H, Sheikh-El-Eslami MK (2009) Hedging risks with interruptible load programs for a load serving entity. Decis Support Syst 48(1):150–157
Hedman K, O’neill R, Oren S (2009) Analyzing valid inequalities of the generation unit commitment problem. In: Power systems conference and exposition, pp 1–6
Hobbs WJ, Hermon G, Warner S, Shelbe GB (1988) An enhanced dynamic programming approach for unit commitment. IEEE Trans Power Syst 3:1201–1205
Hu Z, Wang X, Taylor G (2010) Stochastic optimal reactive power dispatch: Formulation and solution method. Int J Electr Power Energy Syst 32(6):615–621
Huang SJ (2001) Enhancement of hydroelectric generation scheduling using ant colony system based optimization approaches. IEEE Trans Energy Conver 16:296–301
Jabr RA (2003) A primal-dual interior-point method to solve the optimal power flow dispatching problem. Optim Eng 4(4):309–336MathSciNetMATH
Jabr RA (2006) Radial distribution load flow using conic programming. IEEE Trans Power Syst 21(3):1458–1459MathSciNet
Jabr RA (2008) Optimal power flow using an extended conic quadratic formulation. IEEE Trans Power Syst 23(3):1000–1008
Jiang Q, Geng G (2010) A reduced-space interior point method for transient stability constrained optimal power flow. IEEE Trans Power Syst 25(3):1232–1240
Jiang Q, Geng G, Guo C, Cao Y (2010) An efficient implementation of automatic differentiation in interior point optimal power flow. IEEE Trans Power Syst 25(1):147–155
Juste KA, Kita H, Tanaka E, Hasegawa J (1999) An evolutionary programming solution to the unit commitment prolem. IEEE Trans Power Syst 14:1452–1459
Kazarlis SA, Bakirtzis AG, Petridis V (1996) A genetic algorithm solution to the unit commitment problem. IEEE Trans Power Syst 11:83–92
Kerr R, Scheidt J, Jr AF, Wiley J (1966) Unit commitment. IEEE Trans Power App Syst 85:471–421
Kim BH, Baldick R (1997) Coarse-grained distributed optimal power flow. IEEE Trans Power Syst 12(2):932–939
Kim BH, Baldick R (2000) A comparison of distributed optimal power flow algorithms. IEEE Trans Power Syst 15(2):599–604
Koc A, Ghosh S (2012) Optimal scenario tree reduction for the stochastic unit commitment problem. In: Winter simulation conference, pp 1–12
Koc A, Kalagnanam J (2012) Parallel branch-cut-price for solving stochastic unit commitment problems for the smart grid (submitted)
Lai SY, Baldick R (1999) Unit commitment with ramp multipliers. IEEE Trans Power Syst 14:58–64
Lauer GS, Sandell NR, Bertsekas DP, Posbergh TA (1982) Solution of large-scale optimal unit commitment problems. IEEE Trans Power App Syst 101:79–86
Lavaei J (2011) Zero duality gap for classical OPF problem convexifies fundamental nonlinear power problems. In: American control conference, pp 4566–4573
Lavaei J, Low S (2012) Zero duality gap in optimal power flow problem. IEEE Trans Power Syst 27(1):92–107
Lee FN (1991) The application of commitment utilization factor to the thermal unit commitment. IEEE Trans Power Syst 6:691–698
Li C, Johnson RB, Svoboda AJ (1997) A new unit commitment method. IEEE Trans Power Syst 12:113–119
Li H, Li Y, Li Z (2007) A multiperiod energy acquisition model for a distribution company with distributed generation and interruptible load. IEEE Trans Power Syst 22(2):588–596
Li S, Sahidehpour SM, Wang C (1993) Promoting the application of expert system in short-term unit commitment. IEEE Trans Power Syst 3:286–292
Li T, Shahidehpour SM (2005) Price-based unit commitment: a case of Lagrangian relaxation versus mixed integer programming. IEEE Trans Power Syst 20:2015–2025
Li Y (2008) Decision making under uncertainty in power system using benders decomposition. PhD thesis, Iowa State University, Ames, Iowa
Li Y, McCalley JD (2009) Decomposed SCOPF for improving effciency. IEEE Trans Power Syst 24(1):494–495
Liang RH, Kang FC (2000) Thermal generating unit commitment using an extended mean field annealing neural network. In: IEE Proceedings generation, transmission and distribution 147:164–170
Lin WM, Cheng FS, Tsay MT (2002) An improved tabu search for economic dispatch with multiple minima. IEEE Trans Power Syst 17:108–112
Liu C, Shahidehpour SM, Wu L (2010) Extended benders decomposition for two-stage SCUC. IEEE Trans Power Syst 25:1192–1194
Lowery PG (1966) Generating unit commitment by dynamic programming. IEEE Trans Power App Syst 85:422–426
Lulli G, Sen S (2004) A branch-and-price algorithm for multistage stochastic integer programming with application to stochastic batch-sizing problems. Manage Sci 50:786–796MATH
Ma H, Shahidehpour SM (1998) Transmission-constraint unit commitment based on benders decomposition. Int J Electr Power Energy Syst 20:287–294
Maifeld TT, Sheble GB (1996) Genetic-based unit commitment algorithm. IEEE Trans Power Syst 11:1359–1370
Mantawy A, Abdel-Magid Y, Selim S (1998) Unit commitment by tabu search. In: IEE Proceedings, generation, transmission and distribution 145:56–64
Mantawy A, Abdel-Magid Y, Selim S (1999) Integrating genetic algorithms, tabu search and simulated annealing for the unit commitment problem. IEEE Trans Power Syst 14:829–836
Mantawy AH, Soliman SA, El-Hawary ME (2002) A new tabu search algorithm for the long-term hydro scheduling problem. In: Proceedings of large engineering systems conference, power engineering, pp 29–34
Merlin A, Sandrin P (1983) A new method for unit commitment at electricite de france. IEEE Trans Power App Syst 102:1218–1225
Min W, Shengsong L (2005) A trust region interior point algorithm for optimal power flow problems. Int J Electr Power Energy Syst 27(4):293–300
Mokhtari S, Singh J, Wollenberg B (1987) A unit commitment expert system. In: Proceedings of the PICA, pp 400–405
Monticelli A, Pereira MVF, Granville S (1987) Security-constrained optimal power flow with post-contingency corrective rescheduling. IEEE Trans Power Syst 2(1):175–180
Mori H, Matsuzaki O (2001) Embdedding the priority list into tabu search for unit commitment. In: Proceedings of Power Engineering Society Winter Meeting, pp 1067–1072
Muckstadt A, Koenig SA (1977) An application of Lagrangian relaxation to schediling on power generation systems. Oper Res 25(3):387–403MATH
Muckstadt JA, Wilson RC (1968) An application of mixed integer programming duality to scheduling thermal generating systems. IEEE Trans Power Syst 87:1968–1977
Mukerji R (2010) NYISO day-ahead unit commitment design. In: Technical conference on unit commitment software. Federal Energy Regulatory Commission, Washington DC
Nowak MP, Romisch W (2000) Stochastic Lagrangian relaxation applied to power scheduling in a hydro-thermal system under uncertainty. Ann Oper Res 100:251–272MathSciNetMATH
Ott A (2010) Unit commitment in PJM. In: Technical conference on unit commitment software. Federal Energy Regulatory Commission, Washington DC
Padhy N (2004) Unit commitment—a bibliographical survey. IEEE Trans Power Syst 19:1196–2005
Padhy NP (2001) Unit commitment using hybrid models: a comparative study for dynamic programming, expert system, fuzzy system, and genetic algorithms. Int J Electr Power Energy Syst 23:827–836
Pang CK, Chen HC (1976) Optimal short-term thermal unit commitment. IEEE Trans Power App Syst 95:1336–1346
Pang CK, Sheble GB, Albuyeh F (1981) Evaluation of dynamic programming based methods and multiple area representation for thermal unit commitments. IEEE Trans Power App Syst 100:1212–1218
Phan DT (2012) Lagrangian duality and branch-and-bound algorithms for optimal power flow. Oper Res 60(2):275–285MathSciNetMATH
Phan DT, Ghosh S (2011) A two-stage non-linear program for optimal electrical grid power balance under uncertainty. In: Proceedings of the 2011 winter simulation conference, pp 4222–4233
Phan DT, Kalagnanam J (2012) Distributed methods for solving the security-constrained optimal power flow problem. In: Proceedings of the 2012 IEEE PES Innovative Smart Grid Technologies (ISGT), pp 1–7
Qiu W, Flueck AJ, Tu F (2005) A new parallel algorithm for security constrained optimal power flow with a nonlinear interior point method. In: IEEE Power Engineering Society General Meeting, pp 2422–2428
Quyang Z, Shahidehpour S (1990) Short-term unit commitment expert system. Electr Power Syst Res 20:1–13
Quyang Z, Shahidehpour SM (1992) An itelligent dynamic programming for unit commitment application. IEEE Trans Power Syst 6:1203–1209
Rajan D, Takriti S (2005) Minimum up/down polytopes of the unit commitment problem with start-up costs. Technical report, IBM Research
Rodrigues M, Saavedra OR, Monticelli A (1994) Asynchronous programming model for the concurrent solution of the security constrained optimal power flow problem. IEEE Trans Power Syst 9(4):2021–2027
Rothleder M (2010) Unit commitment in the CAISO market. In: Technical conference on unit commitment software. Federal Energy Regulatory Commission, Washington DC
Ruzic S, Rajakovic N (1991) A new approach for solving extended unit commitment problem. IEEE Trans Power Syst 6:269–275
Salam S (2007) Unit commitment solution methods. World Acad Sci Eng Technol 35:320–325
Santos AJ, da Costa GRM (1995) Optimal power flow solution by Newton’s method applied to an augmented Lagrangian function. In: IEE proceedings, generation, transmission and distribution 142(1):33–36
Sasaki H, Watanabe M, Yokoyama R (1992) A solution method of unit commitment by artificial neural networks. IEEE Trans Power Syst 7:974–981
Schellenberg A, Rosehart W, Aguado J (2006) Cumulant-based stochastic nonlinear programming for variance constrained voltage stability analysis of power systems. IEEE Trans Power Syst 21(2):579–585
Sheble G, Fahd G (1994) Unit commitment—literature synopsis. IEEE Trans Power Syst 9:128–135
Singh KJ, Philpott AB, Wood RK (2009) Dantzig-wolfe decomposition for solving multistage stochastic capacity-planning problems. Oper Res 57(5):1271–1286MathSciNetMATH
Sisworahardjo NS, El-Kaib AA (2002) Unit commitment using ant colony search algorithms. In: Proceedings of large engineering systems conference, power engineering pp 2–6
Siu TK, Nash GA, Shawwash ZK (2001) A practical hydro, dynamic unit commitment and loading model. IEEE Trans Power Syst 16:301–306
Snyder WL Jr, Powell HD Jr, Rayburn JC (1987) Dynamic programming approach to unit commitment. IEEE Trans Power Syst 2:339–347
Sojoudi S, Lavaei J (2012) Network topologies guaranteeing zero duality gap for optimal power flow problem. In: Proceedings of IEEE Power and Energy Society General Meeting, pp 1–7
Sousa A, Torres G (2007) Globally convergent optimal power flow by trust-region interior-point methods. In: Power Tech, 2007 IEEE Lausanne, pp 1386–1391
Sousa AA, Torres GL (2011) Robust optimal power flow solution using trust region and interior-point methods. IEEE Trans Power Syst 26(2):487–499
Street A, Oliveira F, Arroyo JM (2011) Contingency constrained unit commitment with n-k security criterion: a robust optimization approach. IEEE Trans Power Syst 26(3):1581–1590
Sun D, Ashley B, Brewer B, Hughes A, Tinney W (1984) Optimal power flow by newton approach. IEEE Trans Power App Syst PAS-103(10):2864–2880
Swarup KS, Yamashiro S (2002) Unit commitment solution methodology using genetic algorithm. IEEE Trans Power Syst 17:87–91
Takriti S, Birge J, Long E (1996) A stochastic model for the unit commitment problem. IEEE Trans Power Syst 11(3):1497–1508
Takriti S, Birge JR (1996) A stochastic model for the unit commitment problem. IEEE Trans Power Syst 11:1497–1508
Takriti S, Krasenbrink B, Wu LSY (2000) Incorporating fuel constraints and electricity spot prices into the stochastic unit commitment problem. Oper Res 48(2):268–280
Tong SK, Sahidehpour SM, Quyang Z (1991) A heuristic short-term unit commitment. IEEE Trans Power Syst 6:1210–1216
Tong SK, Shahidehpour SM (1990) An innovative approach to generation scheduling in large-scale hydro-thermal power systems with fuel constrained units. IEEE Trans Power Syst 5:665–673
Torres G, Quintana V (1998) An interior-point method for nonlinear optimal power flow using voltage rectangular coordinates. IEEE Trans Power Syst 13(4):1211–1218
Turgeon A (1978) Optimal scheduling of thermal generating units. IEEE Trans Autom Control 23:1000–1005MATH
Viana AMMMG (2003) Metaheuristics for the unit commitment problem: the constraint oriented neighbourhoods search strategy. PhD thesis, Universidade do Porto
Virmani S, Imhof K, Mukhenjee S (1989) Implementation of a Lagrangian relaxation based unit commitment problem. IEEE Trans Power Syst 4:1065–1073
Wächter A, Biegler LT (2006) On the implementation of an interior-point filter line-search algorithm for large-scale nonlinear programming. Math Program 106(1):25–57MathSciNetMATH
Wang C, Shahidehpour SM (1993) Effects of ramp-rate limits on unit commitment and economic dispatch. IEEE Trans Power Syst 8:1341–1350
Wang H, Murillo-Sanchez C, Zimmerman R, Thomas R (2007) On computational issues of market-based optimal power flow. IEEE Trans Power Syst 22(3):1185–1193
Wang L, Singh C (2006) Multi-objective stochastic power dispatch through a modified particle swarm optimization algorithm. In: Proceedings of IEEE swarm intelligence symposium, pp 128–135
Wells DW (1968) Method for economic secure loading of a power systems. In: Proceedings of IEEE vol 115, pp 606–614
Wolkowicz H, Saigal R, Vandenberghe L (eds) (2000) Handbook of semidefinite programming: theory, algorithms, and applications. Kluwer Academic Publishers, Boston
Wood AJ, Wollenberg BF (1996) Power Generation Operation and Control. Wiley, New York
Wu L, Shahidehpour SM (2010) Accelerating the Benders decomposition for network-constrained unit commitment problems. Energy Syst 1:339–376
Wu L, Shahidehpour SM, Li T (2007) Stochastic security-consrtained unit commitment. IEEE Trans Power Syst 22:800–811
Xiong P, Jirutitijaroen P (2011) Stochastic unit commitment using multi-cut decomposition algorithm with partial aggregation. In: IEEE PES general meeting, pp 1–8
Xue Y, Chang L, Meng J (2007) Dispatchable distributed generation network—a new concept to advance dg technologies. In: Power Engineering Society general meeting, 2007, IEEE, pp 1–5
Yang H, Yang P, Huang C (1997) A parallel genetic algorithm approach to solving the unit commitment problem: implementation on the transputer networks. IEEE Trans Power Syst 12:661–668
Yong T, Entriken R, Zhang P (2009) Reserve determination for systems with large wind generation. In: IEEE PES general meeting, pp 1–7
Zhang J, Fuller JD, Elhedhli S (2010) A stochastic programming model for a day-ahead electricity market with real-time resrve shorage pricing. IEEE Trans Power Syst 25:703–713
Zhuang F, Galiana FD (1988) Toward a more rigorous and practical unit commitment by lagrangian relaxation. IEEE Trans Power Syst 3:763–773
Zhuang F, Galiana FD (1990) Unit commitment by simulated annealing. IEEE Trans Power Syst 5:311–318
Metadata
Title
Optimization Approaches to Security-Constrained Unit Commitment and Economic Dispatch with Uncertainty Analysis
Authors
Dzung T. Phan
Ali Koc
Copyright Year
2013
Publisher
Springer Berlin Heidelberg
Book
Optimization and Security Challenges in Smart Power Grids

Print ISBN: 978-3-642-38133-1

Electronic ISBN: 978-3-642-38134-8

Copyright Year: 2013

DOI
https://doi.org/10.1007/978-3-642-38134-8_1