A Comprehensive Review of Optimization Techniques Applied for Placement and Sizing of Custom Power Devices In Distribution Networks

• Autorzy: Farhoodnea M. , Mohamed A. , Shareef H. , Zayandehroodi H.

Warianty tytułu

PL

Kompleksowy przegląd technik optymalizacji rozmieszenia i rozmiaru filtrów mocy w sieciach przesyłowych

• Języki publikacji: EN

Abstrakty

EN

Custom power devices (CPD) are used to protect conventional and sensitive loads against power quality disturbances such as voltage sag/swell and harmonic distortion in power systems. The proper placement of CPDs has an important effect on the quality of improvement and ensures that the total costs are minimal in accordance with maximum efficiency. This paper presents a survey of the literature in the last decade that have focused on the various optimization techniques applied to determine optimal placement and size of CPD.

PL

W artykule przedstawiono przegląd literatury z ostatniej dekady z zagadnienia metod optymalizacji rozmieszczenia i rozmiaru urządzeń energoelektronicznych o regulowanej mocy (ang. Custom Power Device) pracujących jako filtry, do poprawy jakości energii w systemach energetycznych.

Słowa kluczowe

EN

custom power device; heuristic optimization; optimum location; power quality

PL

aktywny filtr mocy; optymalizacja heurystyczna; lokalizacja optimum; jakość energii

• Wydawca: Wydawnictwo SIGMA-NOT
• Czasopismo: Przegląd Elektrotechniczny
• Rocznik: 2012
• Tom: R. 88, nr 11a
• Strony: 261--265
• Opis fizyczny: Bibliogr. 76 poz., rys.

Twórcy

autor

Farhoodnea M.

autor

Mohamed A.

autor

Shareef H.

autor

Zayandehroodi H.

• University Kebangsaan Malaysia,

Bibliografia

• [1] Bollen, M.H.J., Understanding power quality problems. 2000: IEEE press New York.
• [2] Brown, R.E., Electric power distribution reliability. Vol. 14. 2002: CRC.
• [3] Billinton, R., et al. Reliability issues in today's electric power utility environment. IEEE Transactions on Power Systems, 12 (1997), No.4, 1708-1714.
• [4] Dugan, R.C., et al., Electrical Power Systems Quality (2nd Edition). 2003: McGraw-Hill.
• [5] Arrillaga, J., M.H.J. Bollen, and N.R. Watson. Power quality following deregulation. Proceedings of the IEEE, 88 (2000), No.2, 246-261.
• [6] Bollen, M.H.J. Fast assessment methods for voltage sags in distribution systems. in IEEE Industry Applications Conference, 1995. 2282-2289.
• [7] Farhoodnea, M., A. Mohamed, and H. Shareef. Identification of multiple harmonic sources in power systems using independent component analysis and mutual information. International journal of engineering intelligent systems for electrical engineering and communications, 18 (2010), No.1, 51-63.
• [8] Arnold, R. Solutions to the power quality problem. Power Engineering Journal, 15 (2001), No.2, 65-73.
• [9] Madtharad, C., et al. PEA's premium power service: Baseline and risk assessment. in 9th International Conf. on Electrical Power Quality and Utilisation, (EPQU 2007), 2007. 1-6.
• [10] Stones, J. and A. Collinson. Power quality. Power Engineering Journal, 15 (2001), No.2, 58-64.
• [11] Samaras, K., et al. Electrical surge protection devices for industrial facilities - a tutorial review. in Industry Applications Society 52nd Annual Petroleum and Chemical Industry Conference, 2005. 165-175.
• [12] Eto, J., D. Divan, and W. Brumsickle, Pilot evaluation of electricity-reliability and power-quality monitoring in California's Silicon Valley with the I-Grid (R) system. 2004, U.S. Department of Energy. p. 1-40.
• [13] Edinger, R. and S. Kaul. Humankind's detour toward sustainability: past, present, and future of renewable energies and electric power generation. Renewable and Sustainable Energy Reviews, 4 (2000), No.3, 295-313.
• [14] Nara, K., Y. Mishima, and J. Hasegawa. A new type power delivery system for reliable power supply-FRIENDS and its optimal network design. in International Conference on Power System Technology (PowerCon), 2000. 649-654.
• [15] Nara, K. and J. Hasegawa. Configuration of new power delivery system for reliable power supply. in IEEE Power Engineering Society Summer Meeting, 1999. 248-253.
• [16] Domijan, A., et al. Premium Power Park: the next step in Power Quality. in Proceedings of the Caribbean Colloquium on Power Quality (CCPQ), 2003.
• [17] Chiumeo, R. and C. Gandolfi. D-STATCOM control system and operation in a configuration of Premium Power Park. in 14th International Conference on Harmonics and Quality of Power (ICHQP), 2010. 1-7.
• [18] Arora, A., et al. Innovative system solutions for power quality enhancement. ABB REV., (1998), No.3, 4-12.
• [19] Sirjani, R., A. Mohamed, and H. Shareef. Optimal placement and sizing of Static Var Compensators in power systems using Improved Harmony Search Algorithm. PRZEGLAD ELEKTROTECHNICZNY, 87 (2011), No.7, 214-218.
• [20] Sirjani, R., A. Mohamed, and H. Shareef, A hybrid BCO/HS algorithm for optimal placement and sizing of static Var compensators in power systems, in Proceedings of the 10th WSEAS international conference on System science and simulation in engineering. 2011, World Scientific and Engineering Academy and Society (WSEAS): Penang, Malaysia. p. 54-59.
• [21] Jahani, R., et al. Optimal Placement of Unified Power Flow Controller in Power System by a New Advanced Heuristic Method. Technical and Physical Problems of Engineering 2(2010), No.5, 13-18.
• [22] Jordehi, A.R. and J. Jasni. Heuristic methods for solution of FACTS optimization problem in power systems. in IEEE Student Conference on Research and Development (SCOReD), 2011. 30-35.
• [23] Orfanogianni, T. and R. Bacher. Steady-state optimization in power systems with series FACTS devices. Power Systems, IEEE Transactions on, 18 (2003), No.1, 19-26.
• [24] Eajal, A.A. and M. El-Hawary. Optimal capacitor placement and sizing in unbalanced distribution systems with harmonics consideration using particle swarm optimization. IEEE Transactions on Power Delivery, 25 (2010), No.3, 1734-1741.
• [25] Parastar, A., A. Pirayesh, and J. Nikoukar. Optimal location of FACTS devices in a power system using modified particle swarm optimization. in 42nd International Universities Power
• [26] Venayagamoorthy, G.K. Dynamic optimization of a multimachine power system with a FACTS device using identification and control ObjectNets. in 39th IAS Annual Meeting on Industry Applications Conf., 2004. 2643-2650 vol.4.
• [27] Raj, P.A.D.V., et al. Particle Swarm Optimization Based Energy Optimized Dynamic Voltage Restorer. in Joint International Conference on Power System Technology and IEEE Power India Conference 2008. 1-6.
• [28] Pilo, F., G. Pisano, and G.G. Soma. Optimal placement of custom power devices to mitigate voltage dips in distribution networks. in 13th International Conference on Harmonics and Quality of Power, 2008. 1-7.
• [29] Devaraju, T., V.C.V. Reddy, and M.V. Kumar. Role of custom power devices in Power Quality Enhancement: A Review. International Journal of Engineering Science, 2), No.
• [30] Domijan Jr, A., et al. Custom power devices: an interaction study. IEEE Trans. Power Syst. 20 (2005), No.2, 1111-1118.
• [31] Ghosh, A. and G. Ledwich, Custom Power Devices: An Introduction, in Power Quality Enhancement Using Custom Power Devices. 2002, Springer US. p. 113-136.
• [32] Pal, Y., A. Swarup, and B. Singh. A Review of Compensating Type Custom Power Devices for Power Quality Improvement: IEEE, 2008. 1-8.
• [33] Brenna, M., R. Faranda, and E. Tironi. A New Proposal for Power Quality and Custom Power Improvement: OPEN UPQC. IEEE Trans. on Power Delivery, 24 (2009), No.4, 2107-2116.
• [34] Chang, C.S. and Y. Zhemin. Distributed mitigation of voltage sag by optimal placement of series compensation devices based on stochastic assessment. IEEE Transactions on Power Systems 19 (2004), No.2, 788-795.
• [35] Heine, P., et al. A method for estimating the frequency and cost of voltage sags. IEEE Transactions on Power Systems, 17 (2002), No.2, 290-296.
• [36] Baldick, R., Applied optimization: formulation and algorithms for engineering systems. 2006: Cambridge Univ Pr.
• [37] Ben-Tal, A., L. El Ghaoui, and A.S. Nemirovskiĭ, Robust optimization. 2009: Princeton Univ Pr.
• [38] Ghazi, R. and H. Kamal, Optimal size and placement of DVR's in distribution system using simulated annealing (SA), in 18th International Conference and Exhibition on Electricity Distribution (CIRED 2005) 2005. p. v5-82.
• [39] Wei, X., W. Ying, and X. Xianyong. Analytical interval assessment method of voltage sag frequency considering the satisfaction degree of sensitive customer. in 37th Annual Conf. on IEEE Industrial Electronics Society, 2011. 837-842.
• [40] Gill, P.E., W. Murray, and M.H. Wright, Practical optimization. Vol. 1. 1981: Academic press.
• [41] Reyna, A.A.C., Applications of the differential evolution optimization algorithm in power systems planning, operation and control. 2006, Citeseer.
• [42] Hwang, K., Advanced computer architecture: parallelism, scalability, programmability. Vol. 199. 1993: McGraw-Hill Singapore.
• [43] Gen, M. and R. Cheng, Genetic algorithms and engineering optimization. Vol. 7. 2000: Wiley-interscience.
• [44] Favuzza, S., G. Graditi, and E.R. Sanseverino. Adaptive and dynamic ant colony search algorithm for optimal distribution systems reinforcement strategy. Applied Intelligence, 24 (2006), No.1, 31-42.
• [45] Toune, S., et al. Comparative study of modern heuristic algorithms to service restoration in distribution systems. IEEE Transactions on Power Delivery 17 (2002), No.1, 173-181.
• [46] Gerbex, S., R. Cherkaoui, and A.J. Germond. Optimal location of multi-type FACTS devices in a power system by means of genetic algorithms. IEEE Transactions on Power Systems, 16 (2001), No.3, 537-544.
• [47] Gerbex, S., R. Cherkaoui, and A.J. Germond. Optimal location of FACTS devices to enhance power system security. in IEEE Bologna Power Tech Conf. Proceedings 2003. 7 pp. Vol.3.
• [48] El Metwally, M.M., et al. Optimal allocation of FACTS devices in power system using genetic algorithms. in 12th International Middle-East Power System Conference, 2008. 1-4.
• [49] Mosaad, M., M. El Metwally, and F. El Bendary. On-Line Optimal Power Flow Using Evolutionary Programming Techniques. Thammasat International Journal of Science and Technology, 15 (2010), No.1.
• [50] Goldberg, D.E., Genetic algorithms in search, optimization, and machine learning. 1989: Addison-wesley.
• [51] Deb, K. Genetic algorithm in search and optimization: the technique and applications: Proceedings of Int. Workshop on Soft Computing and Intelligent Systems, 1998. 58-87.
• [52] Taher, S.A., M. Hasani, and A. Karimian. A novel method for optimal capacitor placement and sizing in distribution systems with nonlinear loads and DG using GA. Communications in Nonlinear Science and Numerical Simulation, 16 (2011), No.2, 851-862.
• [53] Mardle, S. and S. Pascoe. An overview of genetic algorithms for the solution of optimisation problems. Computers in Higher Education Economics Review, 13 (1999), No.1, 16-20.
• [54] Haupt, R.L., S.E. Haupt, and J. Wiley, Practical genetic algorithms. 2004: Wiley Online Library.
• [55] Ketabi, A. and S.A. Hosseini. A new method for optimal harmonic meter placement. American Journal of Applied Sciences, 5 (2008), No.11, 1499-1505.
• [56] Yan, Z. and J.V. Milanovic. Voltage sag cost reduction with optimally placed FACTS devices. in 9th International Conf. On Electrical Power Quality and Utilisation, 2007. 1-6.
• [57] Zhang, Y. and J.V. Milanovic. Global Voltage Sag Mitigation With FACTS-Based Devices. IEEE Transactions on Power Delivery 25 (2010), No.4, 2842-2850.
• [58] Bai, H. and B. Zhao, A Survey on Application of Swarm Intelligence Computation to Electric Power System, in Proceedings of the 6th World Congress on Intelligent Control and Automation. 2006. p. 7587-759.
• [59] Carlisle, A. and G. Dozier. Adapting particle swarm optimization to dynamic environments, 2000. 429-434.
• [60] Wei, Y. and L. Qiqiang. Survey on Particle Swarm Optimization Algorithm. Engineering Science, 5 (2004), No.5, 87-94.
• [61] Shao-rong, H. Survey of particle swarm optimization algorithm. Computer Eng. and Design, 30 (2009), No.8, 1977-1980.
• [62] Dian, P.R., M.S. Siti, and S.Y. Siti. Particle Swarm Optimization: Technique, System and Challenges. International Journal of Computer Applications, 14 (2011), No.1, 19-27.
• [63] Amanifar, O. and M.E.H. Golshan, Mitigation of Voltage Sag by Optimal Distributed Generation Placement and Sizing in Distribution Systems with Economic Consideration Using Particle Swarm Optimization, in International Power System Conference. 2011: Tehran, Iran.
• [64] Ghose, T. and S. Goswami. Effects of unbalances and harmonics on optimal capacitor placement in distribution system. Electric Power Systems Research, 68 (2003), No.2, 167-173.
• [65] De Castro, L.N. and J. Timmis, Artificial immune systems: a new computational intelligence approach. 2002: Springer
• [66] Atsalakis, G. and K. Tsakalaki. Simulating annealing and neural networks for chaotic time series forecasting. Chaotic Modeling and Simulation, (2012), No.1, 81-90.
• [67] Vira, C. and Y.Y. Haimes, Multiobjective decision making: theory and methodology. 1983: North-Holland.
• [68] Rashedi, E., H. Nezamabadi-Pour, and S. Saryazdi. GSA: a gravitational search algorithm. Information Sciences, 179 (2009), No.13, 2232-2248.
• [69] Rashedi, E., H. Nezamabadi-Pour, and S. Saryazdi. BGSA: binary gravitational search algorithm. Natural Computing, 9 (2010), No.3, 727-745.
• [70] Salman, N., A. Mohamed, and H. Shareef. Reliability Improvement in Distribution Systems by Optimal Placement of DSTATCOM Using Binary Gravitational Search Algorithm. PRZEGLĄD ELEKTROTECHNICZNY (Electrical Review), 88 (2012), No.2, 295-299.
• [71] Bertsekas, D.P., Dynamic programming and stochastic control. Vol. 125. 1976: Academic Pr.
• [72] Bellman, R. The theory of dynamic programming. Bull. Amer. Math. Soc, 60 (1954), No.6, 503-515.
• [73] Dasgupta, S., C.H. Papadimitriou, and U.V. Vazirani, Algorithms. 2007: McGraw-Hill.
• [74] Shokir, E., A. Alsughayer, and A. Al-Ateeq. Permeability estimation from well log responses. Journal of Canadian Petroleum Technology, 45 (2006), No.11.
• [75] Nascimento Jr, C.L. Artificial neural networks in control and optimization. Doctor Thesis. University of Manchester. Manchester, (1994), No.
• [76] Tanti, D., et al. An Ann Based Approach for Optimal Placement of Dstatcom for Voltage Sag Mitigation. International Journal of Engineering Science, 3 (2010), No. 2, 827-835