Fixed head short-term hydrothermal scheduling in presence of solar and wind power

Energy Strategy Reviews - Tập 22 - Trang 47-60 - 2018
Sujoy Das1, Aniruddha Bhattacharya1, Ajoy Kumar Chakraborty1
1Department of Electrical Engineering, National Institute of Technology, Agartala, Tripura, 799046, India

Tài liệu tham khảo

Brannud, 1986, Optimal short term operation planning ofa large hydrothermal power system based on a nonlinear network flowconcept, IEEE Trans PWRS, 1, 75 Salam Nor, 1998, Hydrothermal scheduling based Lagrangian relaxation approach to hydrothermal coordination, IEEE Trans. Power Syst., 13, 226, 10.1109/59.651640 Nilsson, 1996, Mixed-integer programming applied to short-term lanning of a hydrothermal system, IEEE Trans. Power Syst., 11, 281, 10.1109/59.486107 Wood, 1984 Engles, 1976 Wong, 1994, Short-term hydrothermal scheduling Part I: simulated annealing approach, ProcInstElectrEng Gen TransmDistrib, 141, 497 Wong, 1994, Short-term hydrothermal scheduling Part II: parallel simulated annealing approach, ProcInstElectrEng Gen TransmDistrib, 141, 502 Sinha, 2003, Fast evolutionary programming techniques for short-term hydrothermal scheduling, Elec. Power Syst. Res., 66, 97, 10.1016/S0378-7796(03)00016-6 Mandal, 2008, Differential evolution technique-based short-term economic generation scheduling of hydrothermal systems, Elec. Power Syst. Res., 78, 1972, 10.1016/j.epsr.2008.04.006 Orero, 1998, A genetic algorithm modeling framework and solution technique for short term optimal hydrothermal scheduling, IEEE Trans PWRS, 13, 501 Mandal, 2008, Particle swarm optimization technique based short-term hydrothermal scheduling, Appl. Soft Comput., 8, 1392, 10.1016/j.asoc.2007.10.006 Zhang, 2012, Small population-based particle swarm optimization for short-term hydrothermal scheduling, IEEE Trans. Power Syst., 27, 142, 10.1109/TPWRS.2011.2165089 Rasoulzadeh-akhijahani, 2015, Short-term hydrothermal generation scheduling by modified dynamic neighborhood learning based particle swarm optimization, Int. J. Electr. Power Energy Syst., 67, 350, 10.1016/j.ijepes.2014.12.011 Basu, 2011, Artificial immune system for fixed head hydrothermal power system, Energy, 36, 606, 10.1016/j.energy.2010.09.057 Bhattacharjee, 2014, Real coded chemical reaction based optimization for short-term hydrothermal scheduling, Appl. Soft Comput., 24, 962, 10.1016/j.asoc.2014.08.048 Roy, 2013, Teaching learning based optimization for short-term hydrothermal scheduling problem considering valve point effect and prohibited discharge constraint, Int J Elec Power, 53, 10, 10.1016/j.ijepes.2013.03.024 Nguyen, 2014, Cuckoo search algorithm for short-term hydrothermal scheduling, Appl. Energy, 132, 276, 10.1016/j.apenergy.2014.07.017 Gouthamkumar, 2015, Disruption based gravitational search algorithm for short term hydrothermal scheduling, Expert Syst. Appl., 42, 7000, 10.1016/j.eswa.2015.05.017 Das, 2016, Symbiotic organism search algorithm for short-term hydrothermal scheduling, Ain Shams Engineering journal, 10.1016/j.asej.2016.04.002 Esmaeily, 2017, Evaluating the effectiveness of mixed-integer linear programming for day-ahead hydro-thermal self-scheduling considering price uncertainty and forced outage rate, Energy, 122, 182, 10.1016/j.energy.2017.01.089 Nazari-Heris, 2018, Improved harmony search algorithm for the solution of non-linear non-convex short-term hydrothermal scheduling, Energy, 151, 226, 10.1016/j.energy.2018.03.043 Feng, 2017, Multi-objective quantum-behaved particle swarm optimization for economic environmental hydrothermal energy system scheduling, Energy, 131, 165, 10.1016/j.energy.2017.05.013 Nazari-Heris, 2017, Optimal short-term generation scheduling of hydrothermal systems by implementation of real-coded genetic algorithm based on improved Mühlenbein mutation, Energy, 128, 77, 10.1016/j.energy.2017.04.007 Patwal, 2017, A novel TVAC-PSO based mutation strategies algorithm for generation scheduling of pumped storage hydrothermal system incorporating solar units, Energy, 142, 822, 10.1016/j.energy.2017.10.052 http://www.bp.com. https://mnre.gov.in. Banerjee, 2016, Short-term hydro-wind-thermal scheduling based on particle swarm optimization technique, Int. J. Electr. Power Energy Syst., 81, 275, 10.1016/j.ijepes.2016.01.031 Yuan, 2015, An extended NSGA-III for solution multi-objective hydrothermal-wind scheduling considering wind power cost, Energy Convers. Manag., 96, 568, 10.1016/j.enconman.2015.03.009 Zhou, 2016, Short-term hydro-thermal-wind complementary scheduling considering uncertainty of wind power using an enhanced multi-objective bee colony optimization algorithm, Energy Convers. Manag., 123, 116, 10.1016/j.enconman.2016.05.073 Liang, 2017, A virus-evolutionary differentiated-PSO approach for short-term generation scheduling with uncertainties, Int. Trans. Electr. Energ. Syst, 26, 2288, 10.1002/etep.2202 Dubey, 2016, Hydro-thermal-wind scheduling employing novel ant lion optimization technique with composite ranking index, Renew. Energy, 99, 18, 10.1016/j.renene.2016.06.039 Singh, 2017, Impact of large-scale rooftop solar PV integration: an algorithm for hydrothermal-solar scheduling (HTSS), Sol. Energy, 157, 988, 10.1016/j.solener.2017.09.021 Wang, 2017, Improved multi-objective model and analysis of the coordinated operation of a hydro -wind-photovoltaic system, Energy, 134, 813, 10.1016/j.energy.2017.06.047 Zhang, 2017, Gradient decent based multi-objective cultural differential evolution for short-term hydrothermal optimal scheduling of economic emission with integrating wind power and photovoltaic power, Energy, 122, 748, 10.1016/j.energy.2017.01.083 Hemmati, 2018, Optimal cogeneration and scheduling of hybrid hydro-thermal-wind-solar system incorporating energy storage systems, J. Renew. Sustain. Energy, 10, 1, 10.1063/1.5017124 Somma, 2018, Stochastic optimal scheduling of distributed energy resources with renewables considering economic and environmental aspects, Renew. Energy, 116, 272, 10.1016/j.renene.2017.09.074 Damodaran, 2018, Hydro-thermal-wind generation scheduling considering economic and environmental factors using heuristic algorithms, Energies, 11, 1, 10.3390/en11020353 Rosenblueth, 1975, Point estimation for probability moments, Proc Nat AcadSci, 72, 3812, 10.1073/pnas.72.10.3812 Rubinstein, 1981 Hong, 1998, An efficient point estimate method for probabilistic analysis, Reliab. Eng. Syst. Saf., 59, 261, 10.1016/S0951-8320(97)00071-9 Su, 2005, Probabilistic load-flow computation using point estimate method, IEEE Trans. Power Syst., 20, 1843, 10.1109/TPWRS.2005.857921 Malekpour, 2011, A probabilistic multi-objective daily Volt/Varcontrol at distribution networks including renewable energy sources, Energy, 36, 3477, 10.1016/j.energy.2011.03.052 Soroudi, 2011, A probabilistic modeling of photo voltaic modules and wind power generation impact on distribution networks, IEEE systems journal, 6, 254, 10.1109/JSYST.2011.2162994 Mohammadi, 2013, An adaptive modified firefly optimization algorithm based on Hong's point estimate method to optimal operation management in a microgrid with consideration of uncertainties, Energy, 51, 339, 10.1016/j.energy.2012.12.013 Niknam, 2012, Probabilistic energy and operation management of a microgrid containing wind/photovoltaic/fuel cell generation and energy storage devices based on point estimate method and self-adaptive gravitational search algorithm, Energy, 43, 427, 10.1016/j.energy.2012.03.064 Alavi, 2015, Optimal probabilistic energy management in a typical micro-grid based-on robust optimization and point estimate method, Energy Convers. Manag., 95, 314, 10.1016/j.enconman.2015.02.042 Abarghooee, 2012, Probabilistic multi objective wind-thermal economic emission dispatch based on point estimated method, Energy, 37, 322, 10.1016/j.energy.2011.11.023 Zhang, 2004, Probabilistic load flow computation using the method of combined cumulants and Grame Charlier expansion, IEEE Trans. Power Syst., 19, 676, 10.1109/TPWRS.2003.818743 Askarzadeh, 2016, A novel metaheuristic method for solving constrained engineering optimization problems, Crow search algorithm, 169, 1 Mirjalili, 2015, Moth-flame optimization algorithm: a novel nature-inspired heuristic paradigm, Knowl. Base Syst., 89, 228, 10.1016/j.knosys.2015.07.006 Mirjalili, 2016, Dragonfly algorithm: a new meta-heuristic optimization technique for solving single-objective, discrete, and multi-objective problems, Neural Computing & Appplications, 27, 1053, 10.1007/s00521-015-1920-1