Solving Multiple Fuels Dynamic Environmental/Economic Dispatch Problem and Incentive Based Demand Response Considering Spinning Reserve Requirements

[1] Ying Wang, Jianzhong Zhou, Hui Qin, “Improved chaotic particle swarm optimization algorithm for dynamic economic dispatch problem with valve-point effects”, Energy Conversion and Management, vol. 51, pp. 2893- 2900, 2010.

[2] A.M. Elaiw, X. Xia, A.M. Shehata, “Hybrid DE-SQP and hybrid PSO-SQP methods for solving dynamic economic emission dispatch problem with valve-point effects”, Electric Power Systems Research, vol. 103, pp. 192-200, 2013.

[3] A. M. Elaiwa, X. Xia, A. M., “Shehata. Solving dynamic economic emission dispatch problem with valve-point effects using hybrid DE-SQP”, 9-13 July 2012. DOI: 10.1109/PowerAfrica.2012.6498646.

[4] Yan Chen, Jinyu Wen, Lin Jiang, Shijie Cheng, “Hybrid algorithm for dynamic economic dispatch with valve-point effects”, IET Gener. Transm. Distrib, vol. 7, pp 1096–1104, 2013.

[5] Taher Niknam, Faranak Golestaneh, “Enhanced Bee Swarm Optimization Algorithm for Dynamic Economic Dispatch”, IEEE Systems Journal, vol. 7, no. 4, pp. 754- 762, 2013.

[6] Behnam Mohammadi-Ivatloo, Abbas Rabiee, Alireza Soroudi, “Nonconvex Dynamic Economic Power Dispatch Problems Solution Using Hybrid Immune- Genetic Algorithm”, IEEE Systems Journal, vol. 7, no. 4, pp. 777-785, 2013.

[7] Xingwen Jiang, Jianzhong Zhou, Hao Wang, Yongchuan Zhang, “Dynamic environmental economic dispatch using multiobjective differential evolution algorithm with expanded double selection and adaptive random restart”, Electrical Power and Energy Systems, vol. 49, pp. 399-407, 2013.

[8] A. Chatterjee, S.P. Ghoshal, V. Mukherjee, “Solution of combined economic and emission dispatch problems of power systems by an opposition-based harmony search algorithm”, Electrical Power and Energy Systems, vol. 39, pp. 9-20, 2012.

[9] Taher Niknam, Rasoul Azizipanah-Abarghooee, Mohsen Zare, Bahman Bahmani-Firouzi, “Reserve Constrained Dynamic Environmental/Economic Dispatch: A New Multiobjective Self-Adaptive Learning Bat Algorithm”, IEEE Systems Journal, pp 763–776, 2013.

[10] Rahmat-Allah Hooshmand, Moein Parastegari, Mohammad Javad Morshed, “Emission, reserve and economic load dispatch problem with non-smooth and non-convex cost functions using the hybrid bacterial foraging-Nelder–Mead algorithm”, Applied Energy, vol. 89, pp. 443-453, 2012.

[11] Ehsan Afzalan, Mahmood Joorabian, “Emission, reserve and economic load dispatch problem with non-smooth and non-convex cost functions using epsilon-multi-objective genetic algorithm variable”, Electrical Power and Energy Systems, vol. 52 pp. 55-67, 2013.

[12] G. Liu, K. Tomsovic, “Robust unit commitment considering uncertain demand response”, Electric Power Systems Research vol. 119, pp 126-137, 2015.

[13] Yonghong Chen, Juan Li, “Comparison of security constrained economic dispatch formulations to incorporate reliability standards on demand response resources into Midwest ISO co-optimized energy and ancillary service market”, Electric Power Systems Research, vol. 81, pp. 1786-1795, 2011.

[14] Ahsan Ashfaq, Sun Yingyun, Akif Zia Khan, “Optimization of Economic Dispatch Problem Integrated With Stochastic Demand Side Response”, IEEE International Conference on Intelligent Energy and Power Systems (IEPS), pp. 116 – 121, 2014.

[15] Nnamdi I. Nwulu, Xiaohua Xia, “Multi-objective dynamic economic emission dispatch of electric power generation integrated with game theory based demand response programs”, Energy Conversion and Management, vol. 89, pp. 963-974, 2015.

[16] H. Abdi, E. Dehnavi, F. Mohammadi, “Dynamic Economic Dispatch Problem Integrated With Demand Response (DEDDR) Considering Non-Linear Responsive Load Models”, IEEE Transactions on Smart Grid 2015; vol. (PP), pp. 1-10, 2015.

[17] Yamina Ahlem Gherbi, Hamid Bouzeboudja, Fatima Zohra Gherbi, “The combined economic environmental dispatch using new hybrid metaheuristic,” Energy, vol. 116, pp. 468-477, 2016.

[18] B. Farhadi, S.H. Shahalami, E. Fallah Choolabi, “Optimal Design of Single Phase Induction Motor Using MPSO and FEM”, Amirkabir International Journal of Science& Research (AIJ-EEE), vol. 46, no.1, pp. 1-9. 2014.

[19] Chao-Lung Chiang, “Improved Genetic Algorithm for Power Economic Dispatch of Units With Valve-Point Effects and Multiple Fuels”, IEEE Transactions on Power Systems, vol. 20, no. 4, pp. 1690-1699, 2005.

[20] Dieu N. vo, Peter Schegner, Weerakorn Ongsakul, “Cuckoo search algorithm for non-convex economic dispatch”, IET Generation, Transmission & Distribution 2013 DOI: 10.1049/iet-gtd.2012.0142.

[21] Walter, D.C., Sheble, G.B., “Genetic algorithm solution of economic load dispatch with valve point loading”, IEEE Trans. Power Syst, vol. 8, no. 3, pp. 1325–1332, 1993.

[22] D. Nelson Jayakumar, P. Venkatesh, “Glowworm swarm optimization algorithm with topsis for solving multiple objective environmental economic dispatch problem,” Applied Soft Computing, vol. 23, pp. 375-386, 2014.

[23] H. Aalami, M. Parsa Moghadam, and G.R. Yousefi, “Modeling and prioritizing demand response programs in power markets,” Electric power system research, vol. 80, pp. 426-435, 2010.

[24] M. Parsa Moghaddam, A. Abdollahi, Rashidinejad, “Flexible demand response programs modeling in competitive electricity markets,” Applied Energy, vol. 88, pp. 3257-3269, 2011.

[25] Jong-Bae Park, “A Particle Swarm Optimization for Economic Dispatch With Nonsmooth Cost Functions”, IEEE transactions on power systems, vol. 20, no. 1, pp. 34-42, 2005.

[26] Esmaile Khorram, Majid Jaberipour, “Harmony search algorithm for solving combined heat and power economic dispatch problems”, Energy Conversion and Management, vol. 52, pp. 1550-1554, 2011.

[27] Gaurav Prasad Dixit, Hari Mohan Dubey, Manjaree Pandit, B. K. Panigrahi, “Artificial Bee Colony Optimization for Combined Economic Load and Emission Dispatch .DOI: 10.1049/cp.2011.0386.

[28] Soumitra Mondal, Aniruddha Bhattacharya, Sunita Halder nee Dey, “Multi-objective economic emission load dispatch solution using gravitational search algorithm and considering wind power penetration”, Electrical Power and Energy Systems, vol. 44, pp. 282-292, 2013.

[29] J. Sun, V. Palade, X.-J. Wu, W. Fang, and Z. Wang, “Solving the power economic dispatch problem with generator constraints by random drift particle swarm optimization,” IEEE Trans. Ind. Informat, vol. 10, no. 1, pp. 222–232, Feb, 2014.

[30] Xin-She Yang, Seyyed Soheil Sadat Hosseini, Amir Hossein Gandomi, “Firefly Algorithm for solving non convex economic dispatch problems with valve loading effect”, Applied Soft Computing, vol. 12, pp. 1180- 1186, 2012.

[31] FERC, Staff Report. Assessment of demand response and advanced metering. Available: http://www.FERC. gov Dec. 2008.

[32] Hananeh Falsafi, Alireza Zakariazadeh, Shahram Jadid, “The role of demand response in single and multi-objective wind-thermal generation scheduling: A stochastic programming”, Energy, vol. 64, pp. 853-867, 2013.