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Recent Trends on Security Constrained Economic Dispatch: A Bibliographic Review

Authors: Shewit Tsegaye, Fekadu Shewarega


This paper presents a survey of articles, books and reports, which articulate the recent trends and aspects of Security Constrained Economic Dispatch (SCED). The period under consideration is 2008 through 2018. This is done to provide an up-to-date review of the recent major advancements in SCED, the state-of-the-art since 2008, identify further challenging developments needed in smarter grids, and indicate ways to address these challenges. This study consists of three areas of interest, which are very important and relevant for articulating the recent trends of SCED. These areas are: (i) SCED of power system with integrated renewable energy sources (IRES), (ii) SCED with post contingency corrective actions and (iii) Artificial intelligence based SCED.

Keywords: Security constrained economic dispatch, SCED of power system with IRES, SCED with post contingency corrective actions, artificial intelligence based SCED, IRES.

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[1] I. Ciornei, "Novel hybrid optimization methods for for the solution of the economic dispatch of generation in power systems," University of Cyprus, Cyprus, 2011.
[2] Z. Maheshwari, "An approach to modeling and optimization of integrated renewable energy sources," Oklahoma state University, Oklahoma, 2013.
[3] F. Wang, "Improving Deterministic Reserve Requirements for Security constrained Unit commitment and Scheduling Problems in Power Systems," Arizona State University, 2015.
[4] J. Zhu, Optimization of Power System Operation, John Willey and Sons INc. IEEE Inc, 2015.
[5] F. Capitanescu, "Critical review of recent advances and further developments needed in AC optimal power flow," Electric Power Systems Research, Elsevier, vol. 136, pp. 57-68, 2016.
[6] M.I. Alizadeh, M. Parsa Moghaddam,n, N. Amjady, P. Siano, M.K. Sheikh-El-Eslami, "Flexibility in future power systems with high renewable penetration: A review," Renewable and Sustainable Energy , vol. 57, p. 1186–1193, 2016.
[7] X.Xia, A.M. Elaiw, "Optimal Dynamic Economic Dispatch of Generation: A review," Electric Power System Research, Elsevier, vol. 80, pp. 975-986, 2010.
[8] B.Y. Qu, Y.S. Zhu, Y.C. Jiao, M.Y. Wu, P.N. Suganthan, J.J. Liang, "A survey on multi-objective evolutionary algorithms for the solution of the Environmental/economic dispatch problems," Evolutionary Computation, Elsevier, vol. 38, pp. 1-11, 2018.
[9] Vahid Sarfi and Hanif Liana, "An Economic Reliability Security constrained Optimal power dispatch for micro-grids," IEEE Transactions on Power Systems, 2018.
[10] Xi Lu, Kawing Chan, Shi Wei Xia, Bin Zhu Xiao Luo, "Security Constrained Multi period Economic dispatch with Renewable Energy utilizing distributionally robust optimization," IEEE Transactions on Sustainable Energy, 2018.
[11] Kiran Teeparthi, D.M. Vinod Kumar, "Multi objective Hybrid PSO-APO algorithm based Security Constrained Optimal power flow with wind and thermal generators," Engineering Science and Technology an International Journal, Elsevier, 2017.
[12] Simon K.K Ng, J.Zong, "Security constrained Dispatch with controllable loads for integrating stochastic wind energy," in IEEE PES Innovative Smart Grid Technologies Europe, Berlin, 2012.
[13] Yanchao Liu, Michael C. Ferris and Feng Zhao, "Computational Study of Security constrained Economic Dispatch with Multi Scale Rescheduling," IEEE Transactions in Power Systems , 2014.
[14] H. Gangammanavar, "Multiple Scale Stochastic optimization with Application to Integrating Renewable Resources in Power Systems," The Ohio State University, 2013.
[15] Dinghuan Zhu, Gabriela Hug-Glanzmann, "Decomposition Methods for Stochastic Optimal Coordination of Energy Storage and Generation," in IEE PES general meeting, Washington DC, USA, 2014.
[16] A. Marano Marcolini, F. Capitanescu, J.L. Martinez Ramos, L. Wehenkel, "Exploiting the use of DC SCOPF approximation to improve iterative AC SCOPF algorithms," IEEE Transactions on Power Systems, vol. 27, no. 3, p. 1459–1466, 2012.
[17] Y. Yu and P. B. Luh, "Scalable Corrective Security-constrained Economic Dispatch Considering Conflicting Contingencies," International Journal of Electrical Power and Energy Systems, vol. 98, pp. 269-278, 2018.
[18] Stephen Frank•Ingrida Steponavice, Steffen Rebennack, "Optimal power flow: a bibliographic survey II: Non-deterministic and hybrid methods," Energy System, Springer-Verlag, vol. 3, p. 259–289, 2011.
[19] Y. Yu and P. B. Luh, "Scalable Corrective Security-constrained Economic Dispatch Considering Conflicting Contingencies," International Journal of Electrical Power and Energy Systems, vol. 98, pp. 269-278, 2018.
[20] Floudas, C., Gounaris, C., "A review of recent advances in global optimization," Journal of Global Optimization, vol. 45, pp. 3-38, 2009.
[21] W. zhang, "Optimization and Integration of Variable Renewable Energy Sources in Electricity," The University of Sydney, Sydney, 2017.
[22] Oktoviano Gandi, Carlos D.Rodriguez-Gellegos, Dipti Srinivasan, "Review of Optimization of power Dispatch in Renewable Energy System," in IEEE Innovative Smart Grid Technologies-Assia, Melbourne , 2016.
[23] Kumar, Ashwani, and Saurabh Chanana, "Security constrained economic dispatch with secure bilateral transactions in hybrid electricity markets," in Power System Technology and IEEE Power India Conference, 2008. POWERCON 2008. Joint International Conference on. IEEE, 2008.
[24] Hongmei Li, Hantao Cui, Zhaoxing Ma, Yanli Chai, "security constrained economic of wind power integrated power system based on interval optimization," in International Conference on Advance in Energy and Environmental Science, 2015.
[25] Bai, L., Li, F., Cui, H., Jiang, T., Sun, H., & Zhu, J., "Interval optimization based operating strategy for gas-electricity integrated energy systems considering demand response and wind uncertainty," Applied energy, vol. 167, pp. 270-279, 2016.
[26] Guang Li, Rufen G. Zhang, Houhe Chen, Tao Jiang, Honggjie Jia, Yunfei Mu, "security constrained economic dispatch for Integrated Natural gas electricity systems," Energy Procedia, Elsevier , pp. 330-335, 2016.
[27] Hasnae Bilil,Ghassane Aniba, Mohamed Maaroufi, "multi objective optimization of renewable energy penetration rate in power systems," 2014 , The International Conference on Technologies and Materials for Renewable Energy, Environment and Sustainability, Energy Procedia, .
[28] D. Phan, J. Kalagnanam, "Some efficient methods for solving the security constrained optimal power flow problem," IEEE Trans. Power Syst. 29 , vol. 29, no. 2, p. 863–872, 2014.
[29] B.Y. Qu, J.J. Liang, Y.S. Zhu, Z.Y. Wang, P.N. Suganthan, "Economic emission dispatch problems with stochastic wind power using summation based multi-objective evolutionary algorithm," Inform. Sci. , vol. 351, p. 48–66, 2016.
[30] Y.S. Zhu, J. Wang, B.Y. Qu, P.N. Suganthan, "Multi-objective dynamic economic emission dispatch integrating wind farm," Power Syst. Techno, vol. 39, p. 1315–1322, 2015.
[31] E. M. Natsheh, "Hybrid Power Systems Energy Management based on Artifical Intelligence," Manchester Metropolitan University, Manchester, 2015.
[32] Frank, S., Steponavice. I., Rebennack, S, "Optimal power flow: a bibliographic survey I, formulations and deterministic methods," Energy Syst, pp. 3-38, 2012.
[33] Liu Y, Ferris MC, Zhao F, "Computational study of security constrained economic dispatch with multi-stage rescheduling." IEEE Trans Power Syst , vol. 30, no. 2, pp. 920-929, 2015.
[34] Liu, Y., & Ferris, M., "Security-constrained economic dispatch using semidefinite programming," in IEEE Power & Energy Society General Meeting, 2015.
[35] M. Vrakopoulou, "Optimal decision making for secure and economic operation of power systems under uncertainty," Diss. ETH Zurich, 2013.
[36] Y. Xu, Z.Y. Dong, R. Zhang, K.P. Wong, M. Lai, "Solving preventive-corrective SCOPF by a hybrid computational strategy," IEEE Trans. Power Syst, vol. 29, no. 3, p. 1345–1355, 2014.
[37] S. Fliscounakis, P. Panciatici, F. Capitanescu, and L. Wehenkel, "Contingency ranking with respect to overloads in very large power systems taking into account uncertainty, preventive, and corrective actions," IEEE Trans. Power Syst, vol. 28, no. 4, p. 4909–4917, 2013.
[38] Jiang Q, Xu K, "A novel iterative contingency filtering approach to corrective security-constrained optimal power flow," IEEE Trans Power Syst, vol. 29, no. 3, p. 1099–109, 2014.
[39] Sara Lumbras, Andres Ramos, "Improvements to Benders decomposition: systematic classification and performance comparison in a transmission expansion planning problem," 2013.
[40] K. Chandram, N. Subrahmanyam, M. Sydulu, "Brent method for dynamic economic dispatch with transmission losses," in IEEE PES Transm.Distrib. Conf. Expos, Chicago, IL, USA, 2008.
[41] M. A. Bucher, M. Vrakopoulou and G. Andersson, "Probabilistic N-1 Security Assessment incorporating Dynamic Line Ratings," in IEEE PES General Meeting Conference, Vancouver, Canada, 2013.
[42] P. Kaplunovich and K. Turitsyn, "Fast selection of n- 2 contingencies for online security assessment," in IEEE Power and Energy Society General Meeting, 2013.
[43] S. Pothiya, I. Ngamroo and W. Kongprawechnon, "AntColony Optimization for Economic Dispatch Problem with Non-Smooth Cost Functions," International Journal of Electrical power and Energy System, vol. 32, pp. 478-487, 2010.
[44] Nakawiro. W., Erlich. I., "A combined GA-ANN strategy for solving optimal power flow with voltage security constraint," in Asia-Pacific Power and Energy Engineering Conference, 2009.
[45] Floudas, C., Gounaris, C, "A review of recent advances in global optimization," Journal of Global Optimization, vol. 45, 2010.
[46] Xiaoyue Zhao and Xinyan Zhang, "Artificial Intelligence Applications in Power System," in 2nd International Conference on Artificial Intelligence and Industrial Engineering, Advances in Intelligent Systems Research, volume 133, 2016.
[47] Mathur, Sanjay, Shyam K. Joshi, and G. K. Joshi, "Economic load dispatch by generating units under varying load demands using artificial neural network," International Journal on Computer Science and Engineering, vol. 5, no. 7, pp. 639-645, 2013.
[48] B. K. Panigrahi, B. Ravikumar and V. Pandi, "Bacterial Foraging Optimization: Nelder-Mead Hybrid Algorithm for Economic Load Dispatch," in IET Proceedings of Generation Transmission and Distribution, 2008.
[49] Karthikeyan, S., Palanisamyl, K., Varghese, L., Raglend, I., Kothari, D, "Comparison of intelligent techniques to solve economic load dispatch problem with line flow constraints," in IEEE International Advance Computing Conference (IACC), 2009.
[50] J.J. Cai, X.Q. Ma, Q. Li, L.X. Li, H.P. Peng, "A multi-objective chaotic and swarm optimization for environmental/economic dispatch," Int. J. Electr. Power Energy Syst., vol. 32, no. 3, p. 37–344, 2010.
[51] Cai, H., Chung, C., Wong, K, "Application of differential evolution algorithm for transient stability constrained optimal power flow," IEEE Trans. Power Syst, vol. 23, no. 2, p. 19–728, 2008.
[52] Z. Yang, K. Li, Q. Niu, A. Foley, "A self-learning TLBO based dynamic economic environmental dispatch considering multiple plug-in electric vehicle loads," Journal of Modern Power Systems and Clean Energy, vol. 2, p. 298–307, 2014.
[53] M.-C. L. a. H.-s. Sohn, "Using a Genetic Algorithm to Solve the Benders’ Master Problem for Capacitated Plant Location," Bio-Inspired Computational Algorithms and Their Applications, 2012.
[54] M.Basu, "Dynamic Economic Dispatch using non dominated genetic algorithm- II," Electric Power Energy Systems , vol. 30, pp. 140-149, 2008.
[55] M. Basu, "Dynamic economic emission dispatch using non dominated sorting genetic algorithm-II," Elect. Power Energy Syst, vol. 30, p. 140–149, 2008.
[56] Kumari. M., Maheswarapu.S, "Enhanced genetic algorithm based computation technique for multi-objective optimal power flow solution," Int. J. Electr. Power Energy Syst, vol. 32, p. 736–742, 2010.
[57] X. Yuan, A. Su, Y. Yuan, H. Nie, L. Wang, "An improved PSO for dynamic load dispatch of generators," Energy, vol. 34, no. 1, p. 67–74, 2009.
[58] V.K. Jadoun, N. Gupta, K.R. Niazi, A. Swarnkar, "Modulated particle swarm optimization for," International Journal of Electric Power and Energy Systems , vol. 73, pp. 80-88, 2015.
[59] X. Yuan, A. Su, Y. Yuan, H. Nie, L. Wang, "An improved PSO for dynamic load dispatch of generators with valve-point effects," Energy, vol. 34, no. 1, p. 67–74, 2009.
[60] V.K. Jadoun, N. Gupta, K.R. Niazi, A. Swarnkar, "Modulated particle swarm optimization for economic emission dispatch," Int. J. Electr. Power Energy Syst, vol. 73, p. 80–88, 2015.
[61] Hugang, X., Haozhong, C., Haiyu, L, "Optimal reactive power flow incorporating static voltage stability based on multi-objective adaptive immune algorithm," Energy Convers. Manag, vol. 49, p. 1175–1181, 2008.
[62] L. Du, S. Grijalva, R.G. Harley, "Game-theoretic formulation of power dispatch with guaranteed convergence and prioritized best response," IEEE Trans. Sustain. Energy, vol. 6, p. 51–59, 2015.
[63] A.Y. Abdelaziz, E.S. Ali, S.M.A. Elazim, "Combined economic an emission dispatch solution using flower pollination algorithm," Int. J. Electr. Power Energy Syst, vol. 80, p. 264–274, 2016.
[64] H. Li, E.R. Carlos, Y. Zheng, "Economic dispatch optimization algorithm based on particle diffusion," Energy Convers. Manag, vol. 105, p. 1251–1260, 2015.
[65] N. N. a. X. Xia, "Multi-objective dynamic economic emission dispatch of electric power generation integrated with game theory based demand response programs," Energy Convers. Manag, vol. 89, p. 963–974, 2015.
[66] D. Aydin, S. Özyön, C. Yasar, T. Liao, "Artificial bee colony algorithm with dynamic population size to combined economic and emission dispatch problem," Int. J. Electr. Power Energy Syst, vol. 53, pp. 144-153, 2014.
[67] K. Bhattacharjee, A. Bhattacharya, S.H. nee Dey, "Solution of economic emission load dispatch problems of power systems by real coded chemical reaction algorithm," Int. J. Electr. Power Energy syst, vol. 59, p. 176–187, 2014.
[68] T. S. a. H. Mathur, "A new approach to solve economic dispatch problem using a hybrid ACO-ABC-HS optimization algorithm," Int. J. Electr. Power Energy Syst, vol. 78, p. 735–744, 2016.
[69] V. Ravikumar Pandi, B. K. Panigrahi, M. K. Mallick, A. Abraham and S. Das, "Improved Harmony Search for Economic Power Dispatch," in Ninth International Conference on Hybrid Intelligent Systems, 2009.
[70] A. Bhattacharya and P. K. Chattopadhyay, "Biogeography Based Optimization for Different Economic Load Dispatch Problems," IEEE Transactions on Power Systems, vol. 25, no. 2, pp. 1064-1077, 2010.
[71] B. Y. a. B. S. U. Bagde, "Security constrained economic dispatch," in IEEE International Conference on Energy, Communication, Data Analytics and Soft Computing (ICECDS), 2017.
[72] M. Murali, M.Sailja Kumarji, M.Sydlu, "A GA based Security constrained economic dispatch approach for LMP calculation," International Journal of Engineering Sciences, vol. 3, no. 2, 2013.
[73] A. B. Serapiao, "Cuckoo search for solving Economic Dispatch load problem," Intelligent Control and Automation, vol. 4, pp. 385-390, 2013.
[74] C.-L. Chiang, "Improved Immune Algorithm for Power Economic Dispatch Considering Units with Prohibited Operating zones and spinning reserve," IACSIT International Journal of Engineering , vol. 6, no. 4, 2014.