Multi-objective co-optimization of power and heat in urban areas considering local air pollution

Hessam Golmohamadi1, Reza Keypour2, Pouya Mirzazade2
1Department of Computer Science, Aalborg University, 9220, Aalborg, Denmark
2Faculty of Electrical and Computer Engineering, Semnan University, Semnan, Iran

Tài liệu tham khảo

Golmohamadi, 2017, Application of robust optimization approach to determine optimal retail electricity price in presence of intermittent and conventional distributed generation considering demand response, J. Control Autom. Electr. Syst., 28, 664, 10.1007/s40313-017-0328-9 Flores, 2018, Optimal design of a distributed energy resource system that economically reduces carbon emissions, Appl. Energy, 232, 119, 10.1016/j.apenergy.2018.09.029 Golmohamadi, 2019, Optimization of household energy consumption towards day-ahead retail electricity price in home energy management systems, Sustainable Cities and Society, 47, 10.1016/j.scs.2019.101468 Golmohamadi, 2018, A bi-level robust optimization model to determine retail electricity price in presence of a significant number of invisible solar sites, Sustainable Energy Grids Networks, 13, 93, 10.1016/j.segan.2017.12.008 Farag, 1995, Economic load dispatch multiobjective optimization procedures using linear programming techniques, IEEE Trans. Power Syst., 10, 731, 10.1109/59.387910 Mariano, 2007, Profit-based short-term hydro scheduling considering head-dependent power generation Chang, 2001, Experiences with mixed integer linear programming based approaches on short-term hydro scheduling, IEEE Trans. Power Syst., 16, 743, 10.1109/59.962421 Chang, 1990, Hydroelectric generation scheduling with an effective differential dynamic programming algorithm, IEEE Trans. Power Syst., 5, 737, 10.1109/59.65900 Kumar, 2011, A genetic algorithm solution to the optimal short-term hydrothermal scheduling, Int. J. Electr. Power Energy Syst., 33, 827, 10.1016/j.ijepes.2010.11.008 Schlünz, 2013, An investigation into the effectiveness of simulated annealing as a solution approach for the generator maintenance scheduling problem, Int. J. Electr. Power Energy Syst., 53, 166, 10.1016/j.ijepes.2013.04.010 Zhou, 2017, A multi-objective multi-population ant colony optimization for economic emission dispatch considering power system security, Appl. Math. Model., 45, 684, 10.1016/j.apm.2017.01.001 Chen, 2019, An improved particle swarm optimization with biogeography-based learning strategy for economic dispatch problems, Complexity, 2018, 1 Chatterjee, 2012, Solution of combined economic and emission dispatch problems of power systems by an opposition-based harmony search algorithm, Int. J. Electr. Power Energy Syst., 39, 9, 10.1016/j.ijepes.2011.12.004 Beigvand, 2016, Combined heat and power economic dispatch problem using gravitational search algorithm, Electr. Power Syst. Res., 133, 160, 10.1016/j.epsr.2015.10.007 Economic and Emission Dispatch Using Ensemble Multi-Objective Differential Evolution Algorithm,“ Sustainability, 10(2), 2018. Jevtić1, 2018, Solving a combined economic emission dispatch problem using adaptive wind driven optimization, Turkish J. Electr. Eng. Computer Sci., 26, 1747, 10.3906/elk-1711-339 Cheng, 2018, Adaptive robust method for dynamic economic emission dispatch incorporating renewable energy and energy storage, Complexity, 2018, 1 Deng, 2018, Recurrent neural network for combined economic and emission dispatch, Appl. Intell., 48, 2180, 10.1007/s10489-017-1072-3 Li, 2016, Combined heat and power dispatch considering pipeline energy storage of district heating network, IEEE Trans. Sustain. Energy, 7, 12, 10.1109/TSTE.2015.2467383 Lin, 2017, Decentralized Solution for combined heat and power dispatch through benders decomposition, IEEE Trans. Sustainable Energy, 8, 1361, 10.1109/TSTE.2017.2681108 Abdelaziz, 2016, Flower pollination algorithm to solve combined economic and emission dispatch problems, Eng. Sci. Technol., Int. J., 19, 980 Hu, 2016, Bi-level robust dynamic economic emission dispatch considering wind power uncertainty, Electr. Power Syst. Res., 135, 35, 10.1016/j.epsr.2016.03.010 Liu, 2018, Wind-thermal dynamic economic emission dispatch with a hybrid multi-objective algorithm based on wind speed statistical analysis, IET Gener. Transm. Distrib., 12, 3972, 10.1049/iet-gtd.2018.5364 Kuo, 2018, Considering carbon emissions in economic dispatch planning for isolated power systems: a case study of the Taiwan power system, IEEE Trans. Ind. Applicat., 54, 987, 10.1109/TIA.2017.2771338 Liang, 2019, Dynamic economic/emission dispatch including PEVs for peak shaving and valley filling, IEEE Trans. Ind. Electron., 66, 2880, 10.1109/TIE.2018.2850030 Ahmad, 2019, Optimal number of electric vehicles for existing networks considering economic and emission dispatch, IEEE Trans. Ind. Inf., 15, 1926, 10.1109/TII.2018.2861409 Goh, 2018, Quantifying drivers of CO2 emissions from electricity generation – Current practices and future extensions, Appl. Energy, 231, 1191, 10.1016/j.apenergy.2018.09.174 Quiroga, 2019, Power system expansion planning under global and local emission mitigation policies, Appl. Energy, 239, 1250, 10.1016/j.apenergy.2019.02.001 Nazari-Heris, 2018, A comprehensive review of heuristic optimization algorithms for optimal combined heat and power dispatch from economic and environmental perspectives, Renew. Sustain. Energy Rev., 81, 2128, 10.1016/j.rser.2017.06.024 Shaabani, 2017, Stochastic multi-objective optimization of combined heat and power economic/emission dispatch, Energy, 141, 1892, 10.1016/j.energy.2017.11.124 Kim, 2020, Neural-network-based optimization for economic dispatch of combined heat and power systems, Appl. Energy, 265, 10.1016/j.apenergy.2020.114785 Shen, 2019, An efficient fitness-based differential evolution algorithm and a constraint handling technique for dynamic economic emission dispatch, Energy, 186, 10.1016/j.energy.2019.07.131 Elattar, 2018, Modified harmony search algorithm for combined economic emission dispatch of microgrid incorporating renewable sources, Energy, 159, 496, 10.1016/j.energy.2018.06.137 Niknam, 2012, A new multi-objective reserve constrained combined heat and power dynamic economic emission dispatch, Energy, 42, 530, 10.1016/j.energy.2012.02.041 Piperagkas, 2011, Stochastic PSO-based heat and power dispatch under environmental constraints incorporating CHP and wind power units, Electr. Power Syst. Res., 81, 209, 10.1016/j.epsr.2010.08.009 Basu, 2011, Bee colony optimization for combined heat and power economic dispatch, Expert Syst. Appl., 38, 13527 Rong, 2009, A dynamic regrouping based sequential dynamic programming algorithm for unit commitment of combined heat and power systems, Energy Convers. Manage., 50, 1108, 10.1016/j.enconman.2008.12.003