Bi-layer energy optimal scheduling of regional integrated energy system considering variable correlations

Wang, 2018, Review of key problems related to integrated energy distribution systems, CSEE J Power Energy Syst, 4, 130, 10.17775/CSEEJPES.2018.00570 Liang, 2022, Stochastic economic dispatch of regional integrated energy system considering the pipeline dynamics using improved approximate dynamic programming, Int J Electr Power Energy Syst, 141, 108190, 10.1016/j.ijepes.2022.108190 Karami, 2017, Stochastic analysis of residential micro combined heat and power system, Energ Conver Manage, 138, 190, 10.1016/j.enconman.2017.01.073 Bornapour, 2017, Optimal stochastic scheduling of CHP-PEMFC, WT, PV units and hydrogen storage in reconfigurable micro grids considering reliability enhancement, Energ Conver Manage, 150, 725, 10.1016/j.enconman.2017.08.041 Ebrahimi, 2019, Adaptive robust optimization framework for day-ahead microgrid scheduling, International Journal of Electrical Power Energy and Energy Systems, 107, 213, 10.1016/j.ijepes.2018.11.029 Yan, 2019, Robust Two-Stage Regional-District Scheduling of Multi-Carrier Energy Systems with a Large Penetration of Wind Power, IEEE Trans Sustainable Energy, 10, 1227, 10.1109/TSTE.2018.2864296 Shafiee, 2016, Risk-Constrained Bidding and Offering Strategy for a Merchant Compressed Air Energy Storage Plant, IEEE Trans Power Syst, 32(2), 1, 10.1109/TPWRS.2016.2565467 Soroudi, 2017, Information gap decision theory approach to deal with wind power uncertainty in unit commitment, Electr Pow Syst Res, 145, 137, 10.1016/j.epsr.2017.01.001 Majidi, 2019, Application of information gap decision theory in practical energy problems: A comprehensive review, Appl Energy, ； 249, 157, 10.1016/j.apenergy.2019.04.144 Wang, 2022, Multi-objective optimal scheduling model with IGDT method of integrated energy system considering ladder-type carbon trading mechanism, Int J Electr Power Energy Syst, 143, 108386, 10.1016/j.ijepes.2022.108386 Nojavan, 2017, Performance improvement of a battery/PV/fuel cell/grid hybrid energy system considering load uncertainty modeling using IGDT, Energ Conver Manage, 147, 29, 10.1016/j.enconman.2017.05.039 Aliasghari P, Mohammadi-Ivatloo B, Abapour M. Risk-based scheduling strategy for electric vehicle aggregator using hybrid Stochastic/IGDT approach. Journal of Cleaner Production 2020; 248:119270.1-119270.11. Mirzaei, 2020, Network-Constrained Joint Energy and Flexible Ramping Reserve Market Clearing of Power- and Heat-Based Energy Systems: A Two-Stage Hybrid IGDT–Stochastic Framework, IEEE Syst J, 99, 1 Najafi, 2022, A medium-term hybrid IGDT-Robust optimization model for optimal self scheduling of multi-carrier energy systems, Energy, 238, 121661, 10.1016/j.energy.2021.121661 Ahmadi, 2021, An IGDT-based robust optimization model for optimal operational planning of cooperative microgrid clusters: A normal boundary intersection multi-objective approach, Int J Electr Power Energy Syst, 127, 106634, 10.1016/j.ijepes.2020.106634 Benyaghoob-Sani, 2021, A RA-IGDT model for stochastic optimal operation of a microgrid based on energy hub including cooling and thermal energy storages, Int J Electr Power Energy Syst, 131, 107092, 10.1016/j.ijepes.2021.107092 Ahmadi, 2020, Information-Gap Decision Theory for Robust Security-Constrained Unit Commitment of Joint Renewable Energy and Gridable Vehicles, IEEE Trans Ind Inf, 16, 3064, 10.1109/TII.2019.2908834 Dehghan, 2014, Multi-objective robust transmission expansion planning using information-gap decision theory and augmented -constraint method, IET Gener Transm Distrib, ； 8(5), 828, 10.1049/iet-gtd.2013.0427 Ying, 2009, Improved probabilistic point estimation schemes for uncertainty analysis, App Math Model, 33, 1042, 10.1016/j.apm.2007.12.022 Liu, 2015, Simplified probabilistic voltage stability evaluation considering variable renewable distributed generation in distribution systems, IET Gener Transm Distrib, 9, 1464, 10.1049/iet-gtd.2014.0840 Rawat, 2021, Probabilistic Steady State Voltage Stability Assessment Method for Correlated Wind Energy and Solar Photovoltaic Integrated Power Systems, Energ Technol, 9, 2000732, 10.1002/ente.202000732 Amiri, 2021, Probabilistic Load Flow Based on Parameterized Probability-Boxes for Systems With Insufficient Information, IEEE Access, 9, 161038, 10.1109/ACCESS.2021.3131241 Li, 2015, Transmission Line Overload Risk Assessment for Power Systems With Wind and Load-Power Generation Correlation, IEEE Trans Smart Grid, 6, 1233, 10.1109/TSG.2014.2387281 Chen, 2013, Probabilistic load flow method based on Nataf transformation and Latin hypercube sampling, IEEE Trans Sustainable Energy, 4, 294, 10.1109/TSTE.2012.2222680 Xu, 2016, Probabilistic load flow evaluation considering correlated input random variables, International Transactions on electrical energy systems, 26, 555, 10.1002/etep.2094 Zhang, 2019, An improved probabilistic load flow simulation method considering correlated stochastic variables, Int J Electr Power Energy Syst, 111, 260, 10.1016/j.ijepes.2019.04.007 Mayne, 2014, Model predictive control: Recent developments and future promise, Automatica, 50, 2967, 10.1016/j.automatica.2014.10.128 Hu, 2020, Cost-Optimal Energy Management of Hybrid Electric Vehicles Using Fuel Cell/Battery Health-Aware Predictive Control, IEEE Trans Power Electron, 35, 382, 10.1109/TPEL.2019.2915675 Li, 2016, Driving-behavior-aware stochastic model predictive control for plug-in hybrid electric buses, Appl Energy, 162, 868, 10.1016/j.apenergy.2015.10.152 Kazda, 2019, Model-Optimized Dispatch for Closed-Loop Power Control of Waked Wind Farms, IEEE Trans Control Syst Technol, 28, 2029, 10.1109/TCST.2019.2923779 Dou, 2020, A Dispatching Method for Integrated Energy System Based on Dynamic Time-interval of Model Predictive Control, J Mod Power Syst Clean Energy, 8, 841, 10.35833/MPCE.2019.000234 Velasquez, 2019, Distributed model predictive control for economic dispatch of power systems with high penetration of renewable energy resources, Int J Electr Power Energy Syst, 113, 607, 10.1016/j.ijepes.2019.05.044 Nagata, 2017, Smoothing effect for spatially distributed renewable resources and its impact on power grid robustness, Chaos, 27, 33104, 10.1063/1.4977510 Abdullah M A, Muttaqi K M, Agalgaonkar A P, et al. A Noniterative Method to Estimate Load Carrying Capability of Generating Units in a Renewable Energy Rich Power Grid. IEEE Transactions on Sustainable Energy 2014； 5(3): 854-865. Fan, 2021, Uncertainty Evaluation Algorithm in Power System Dynamic Analysis with Correlated Renewable Energy Sources, IEEE Trans Power Syst, 36, 5602, 10.1109/TPWRS.2021.3075181 Baghaee, 2017, Fuzzy Unscented Transform for Uncertainty Quantification of Correlated Wind/PV Microgrids: Possibilistic-Probabilistic Power Flow based on RBFNNs, IET Renew Power Gener, 11, 867, 10.1049/iet-rpg.2016.0669 Faridnia N, Habibi D, Lachowicz S, et al. Optimal scheduling in a microgrid with a tidal generation. Energy 2019；171(15): 435-443. Albadi M H, El-Saa Da Ny E F. A summary of demand response in electricity markets. Electric Power Systems Research 2008；78(11): 1989-1996. ZHOU Nan, FAN Wei, LIU Nian, et al. Battery Storage Multi-Objective Optimization for Capacity Configuration of PV-Based Microgrid Considering Demand Response. Power System Technology 2016；40(06): 1709-1716. Ben-Haim, 2006 PENG Chunhua，LIU Bin，SUN Huijuan,Environmental/Economic/Robust Dispatch of Power System Based on Classification Uncertainty Sets .Proceedings of the CSEE 2020; 40(07): 2202-2212+2399. Liting, 2010, A Statistical Model for Charging Power Demand of Electric Vehicles, Power system technology, 34, 126 Liu, 2015, Modeling tidal current speed using a Wakeby distribution, Electr Pow Syst Res, 127, 240, 10.1016/j.epsr.2015.06.014 Chaokuan, 2021, Risk assessment of distribution system with photovoltaic based on Cornish-Fisher series and cumulant method, Power automation equipment, 41, 91 Cao, 2018, A chance constrained information-gap decision model for multi-period microgrid planning, IEEE Trans Power Syst, 33, 2684, 10.1109/TPWRS.2017.2747625 J. Kim and K. S. Lee. Efficient quadratic programming algorithms for model predictive control. 2012 12th International Conference on Control. Automation and Systems 2012; pp. 553-555. Tang, 2000, Chaotic Optimization for Economic Dispatch of Power Systems, Proceedings of the CSEE, 10, 37 Li, 2014, Economic and optimal dispatching of power microgrid with renewable energy resources based on stochastic optimization, Power System Protection and Control, 42, 112