Abstract

Optimal Power Flow(OPF) faces challenges of convergence and local minima. This paper reviews nomenclature and literature of both OPF and metaphor-based heuristic optimization, emphasizing Cockroach Swarm Optimization (CSO). Then the paper investigates CSO as applied to OPF. The solution is tested on the benchmark systems such as IEEE 9 bus system using Matpower.

References

• Ec bestiary website. https://github.com/fcampelo/EC-bestiary.
• M A Abido. Optimal power flow using particle swarm optimization. International Journal of Electrical Power and Energy Systems, 24(7):563–571, 2002.
• Mohammed R AlRashidi and Mohamed E El-Hawary. A survey of particle swarm optimization applications in electric power systems. IEEE transactions on evolutionary computation, 13(4):913–918, 2009.
• O Alsac, J Bright,MPrais, and B Stott. Further developments in lp-based optimal power flow. IEEE Transactions on Power Systems, 5(3):697–711, 1990.
• Jean-Marc Am´e, Jos´e Halloy, Colette Rivault, Claire Detrain, and Jean Louis Deneubourg. Collegial decision making based on social amplification leads to optimal group formation. Proceedings of the National Academy of Sciences, 103(15):5835– 5840, 2006.
• Paul M Anderson and Aziz A Fouad. Power system control and stability. John Wiley & Sons, 2008.
• JS Arora. Introduction to optimum design. 1989.
• Mostafa Asghari and Jamshid Mohammadi. Fuzzy multiobjective opf considering voltage security and fuel emission minimization. In Power and Energy Engineering Conference (APPEEC), 2012 Asia-Pacific, pages 1–6. IEEE, 2012.
• William J Bell, Louis M Roth, and Christine A Nalepa. Cockroaches: ecology, behavior, and natural history. JHU Press, 2007.
• Christian Blum and Andrea Roli. Metaheuristics in combinatorial optimization: Overview and conceptual comparison. ACM Computing Surveys (CSUR), 35(3):268–308, 2003.
• Mary B Cain, Richard P O’neill, and Anya Castillo. History of optimal power flow and formulations. Federal Energy Regulatory Commission, pages 1–36, 2012.
• Claudio Ca˜nizares, William Rosehart, Alberto Berizzi, and Cristian Bovo. Comparison of voltage security constrained optimal power flow techniques. In Power Engineering Society Summer Meeting, 2001, volume 3, pages 1680–1685. IEEE, 2001.
• J Carpentier. Contribution ´a l’´etude du dispatching ´economique. Bulletin de la Soci´et´e Franc¸aise des E´lectriciens, 3(1):431–447, 1962.
• Jinyin Chen and Dongyong Yang. Optimal power flow optimization based on bio-inspired computing. In Communications and Mobile Computing (CMC), 2010 International Conference on, volume 1, pages 195–199. IEEE, 2010.
• Chao-Lung Chiang. Improved genetic algorithm for power economic dispatch of units with valve-point effects and multiple fuels. IEEE transactions on power systems, 20(4):1690– 1699, 2005.
• Kalyanmoy Deb. Optimization for engineering design: Algorithms and examples. PHI Learning Pvt. Ltd., 2012.
• Yamille Del Valle, Ganesh Kumar Venayagamoorthy, Salman Mohagheghi, Jean-Carlos Hernandez, and Ronald G Harley. Particle swarm optimization: basic concepts, variants and applications in power systems. IEEE Transactions on evolutionary computation, 12(2):171–195, 2008.
• Marco Dorigo. Optimization, learning and natural algorithms. Ph. D. Thesis, Politecnico di Milano, Italy, 1992.
• M. A. El-Dosuky, M. Z. Rashad, and T. T. Hamza. New hoopoe heuristic optimization. International Journal of Science and Advanced Technology, 2(9):85–90, 2012.
• Zwe-Lee Gaing. Particle swarm optimization to solving the economic dispatch considering the generator constraints. IEEE transactions on power systems, 18(3):1187–1195, 2003.
• Veysel Gazi and Kevin M Passino. Stability analysis of social foraging swarms. IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), 34(1):539–557, 2004.
• Fred Glover. Future paths for integer programming and links to artificial intelligence. Computers & operations research, 13(5):533–549, 1986.
• J. Duncan Glover and Mulukutla S. Sarma. Power System Analysis and Design. Brooks/Cole Publishing Co., Pacific Grove, CA, USA, 3rd edition, 2001.
• David E Goldberg. Genetic algorithms in search, optimization, and machine learning, 1989. Addison-Wesley, 1989.
• Cliff Grigg, Peter Wong, Paul Albrecht, Ron Allan, Murty Bhavaraju, Roy Billinton, Quan Chen, Clement Fong, Suheil Haddad, Sastry Kuruganty, et al. The ieee reliability test system-1996. a report prepared by the reliability test system task force of the application of probability methods subcommittee. IEEE Transactions on power systems, 14(3):1010– 1020, 1999.
• HH Happ. Optimal power dispatch-a comprehensive survey. IEEE Transactions on Power Apparatus and Systems, 96(3):841–854, 1977.
• Timothy C Havens, Christopher J Spain, Nathan G Salmon, and James M Keller. Roach infestation optimization. In Swarm Intelligence Symposium, 2008. SIS 2008. IEEE, pages 1–7. IEEE, 2008.
• B H¨olldobler and EO Wilson. The ants cambridge. MA: The Belknap Press, Harvard University, 1990.
• M Huneault and FD Galiana. A survey of the optimal power flow literature. IEEE transactions on Power Systems, 6(2):762–770, 1991.
• GD Irisarri, X Wang, J Tong, and S Mokhtari. Maximum loadability of power systems using interior point nonlinear optimization method. IEEE transactions on Power Systems, 12(1):162–172, 1997.
• S Iwamoto and Y Tamura. A load flow calculation method for ill-conditioned power systems. IEEE transactions on power apparatus and systems, (4):1736–1743, 1981.
• J. Kallrath, P.M. Pardalos, S. Rebennack, and M. Scheidt. Optimization in the Energy Industry. Springer, 2009.
• Dervis Karaboga. An idea based on honey bee swarm for numerical optimization. Technical report, Technical report-tr06, Erciyes university, engineering faculty, computer engineering department, 2005.
• James Kennedy. Swarm intelligence. In Handbook of natureinspired and innovative computing, pages 187–219. Springer, 2006.
• R Kennedy. J. and eberhart, particle swarm optimization. In Proceedings of IEEE International Conference on Neural Networks IV, pages, volume 1000, 1995.
• R Kumar et al. Economic power dispatch using evolutionary algorithm. International Journal of Machine Learning and Computing, 2(4):365–370, 2006.
• Kwang Y Lee and Mohamed A El-Sharkawi. Modern heuristic optimization techniques: theory and applications to power systems, volume 39. John Wiley & Sons, 2008.
• K Lenin and MR Mohan. Ant colony search algorithm for optimal reactive power optimization. Serbian journal of electrical engineering, 3(1):77–88, 2006.
• Mathieu Lihoreau, JT Costa, and Colette Rivault. The social biology of domiciliary cockroaches: colony structure, kin recognition and collective decisions. Insectes Sociaux, 59(4):445–452, 2012.
• Mathieu Lihoreau, Jean-Louis Deneubourg, and Colette Rivault. Collective foraging decision in a gregarious insect. Behavioral Ecology and Sociobiology, 64(10):1577–1587, 2010.
• Mohamed Arezki Mellal and Edward J Williams. Parameter optimization of advanced machining processes using cuckoo optimization algorithm and hoopoe heuristic. Journal of Intelligent Manufacturing, 27(5):927–942, 2016.
• JA Momoh, RJ Koessler, MS Bond, B Stott, D Sun, A Papalexopoulos, and P Ristanovic. Challenges to optimal power flow. IEEE Transactions on Power Systems, 12(1):444–455, 1997.
• Ibidun Christiana Obagbuwa and Ademola Philips Abidoye. Binary cockroach swarm optimization for combinatorial optimization problem. Algorithms, 9(3):59, 2016.
• IC Obagbuwa and AO Adewumi. An improved cockroach swarm optimization. The Scientific World Journal, 2014, 2014.