A CVaR-based risk assessment method for park-level integrated energy system considering the uncertainties and correlation of energy prices

Wu, 2021, Comparative study of optimization method and optimal operation strategy for multi-scenario integrated energy system, Energy, 217, 119311, 10.1016/j.energy.2020.119311 Sun, 2021, Capacity planning and optimization for integrated energy system in industrial park considering environmental externalities, Renew Energy, 167, 56, 10.1016/j.renene.2020.11.045 Xu, 2020, Optimal allocation of power supply systems in industrial parks considering multi-energy complementarity and demand response, Appl Energy, 275, 115407, 10.1016/j.apenergy.2020.115407 Yao, 2021, An incentive-compatible distributed integrated energy market mechanism design with adaptive robust approach, Appl Energy, 282, 116155, 10.1016/j.apenergy.2020.116155 Yuan, 2020, A new hybrid multi-criteria decision-making approach for developing integrated energy systems in industrial parks, J Clean Prod, 270, 122119, 10.1016/j.jclepro.2020.122119 Gu, 2020, Bi-level optimal low-carbon economic dispatch for an industrial park with consideration of multi-energy price incentives, Appl Energy, 262, 114276, 10.1016/j.apenergy.2019.114276 AlAshery, 2020, Second-order stochastic dominance constraints for risk management of a wind power producer's optimal bidding strategy, IEEE Trans Sustain Energy, 11, 1404, 10.1109/TSTE.2019.2927119 2021 Mabey, 2001, 1 Mu, 2020, A double-layer planning method for integrated community energy systems with varying energy conversion efficiencies, Appl Energy, 279, 115700, 10.1016/j.apenergy.2020.115700 Yang, 2020, A two-stage optimization model for park integrated energy system operation and benefit allocation considering the effect of time-of-use energy price, Energy, 195, 117013, 10.1016/j.energy.2020.117013 Khaligh, 2020, Co-planning of electricity and gas networks considering risk level assessment. IET Generation, Transm Distrib, 14, 2476, 10.1049/iet-gtd.2019.0712 Fu, 2019, Estimating the failure probability in an integrated energy system considering correlations among failure patterns, Energy, 178, 656, 10.1016/j.energy.2019.04.176 Xuan, 2021, A conditional value-at-risk based planning model for integrated energy system with energy storage and renewables, Appl Energy, 294, 116971, 10.1016/j.apenergy.2021.116971 Wu, 2021, Risk assessment of offshore wave-wind-solar-compressed air energy storage power plant through fuzzy comprehensive evaluation model, Energy, 223, 120057, 10.1016/j.energy.2021.120057 Xie, 2020, Electric-gas integrated energy system operational risk assessment based on improved K-means clustering technology and semi-invariant method, Proc. CSEE, 40, 59 Zhang, 2020, Risk assessment of offshore micro integrated energy system based on fluid mosaic model, IEEE Access, 8, 76715, 10.1109/ACCESS.2020.2989508 Wang, 2020, Risk assessment of integrated electricity and heat system with independent energy operators based on Stackelberg game, Energy, 198, 117349, 10.1016/j.energy.2020.117349 Wang, 2020, Risk-Loss coordinated admissibility assessment of wind generation for integrated electric-gas systems, IEEE Trans Smart Grid, 11, 4454, 10.1109/TSG.2020.2979944 Cao, 2021, Supply inadequacy risk evaluation of stand-alone renewable powered heat-electricity energy systems: a data-driven robust approach, IEEE Trans Ind Inf, 17, 1937, 10.1109/TII.2020.2987823 Yu, 2018, Risk assessment of integrated electrical, natural gas and district heating systems considering solar thermal CHP plants and electric boilers, Int J Electr Power Energy Syst, 103, 277, 10.1016/j.ijepes.2018.06.009 Zeng, 2020, Reliability evaluation for integrated power-gas systems with power-to-gas and gas storages, IEEE Trans Power Syst, 35, 571, 10.1109/TPWRS.2019.2935771 Xie, 2019, Expansion planning method of the industrial park integrated energy system considering regret aversion, Energies, 12, 4098, 10.3390/en12214098 Zhang, 2019, Study on the performance of distributed energy systems based on historical loads considering parameter uncertainties for decision making, Energy, 176, 778, 10.1016/j.energy.2019.04.042 Zhou, 2018, A robust optimization approach for integrated community energy system in energy and ancillary service markets, Energy, 148, 1, 10.1016/j.energy.2018.01.078 Jadidbonab, 2019, Risk-constrained energy management of PV integrated smart energy hub in the presence of demand response program and compressed air energy storage, IET Renew Power Gener, 13, 998, 10.1049/iet-rpg.2018.6018 Oke, 2020, On the optimization of water-energy nexus in shale gas network under price uncertainties, Energy, 203, 117770, 10.1016/j.energy.2020.117770 Tavakoli, 2018, CVaR-based energy management scheme for optimal resilience and operational cost in commercial building microgrids, Int J Electr Power Energy Syst, 100, 1, 10.1016/j.ijepes.2018.02.022 Wu, 2018, CVaR risk-based optimization framework for renewable energy management in distribution systems with DGs and EVs, Energy, 143, 323, 10.1016/j.energy.2017.10.083 Ju, 2019, A CVaR-robust-based multi-objective optimization model and three-stage solution algorithm for a virtual power plant considering uncertainties and carbon emission allowances, Int J Electr Power Energy Syst, 107, 628, 10.1016/j.ijepes.2018.12.012 Wu, 2015, Application of cost-CVaR model in determining optimal spinning reserve for wind power penetrated system, Int J Electr Power Energy Syst, 66, 110, 10.1016/j.ijepes.2014.10.051 Maceira, 2015, Application of CVaR risk aversion approach in the expansion and operation planning and for setting the spot price in the Brazilian hydrothermal interconnected system, Int J Electr Power Energy Syst, 72, 126, 10.1016/j.ijepes.2015.02.025 Ghasemi, 2021, CVaR-Based retail electricity pricing in day-ahead scheduling of microgrids, Energy, 227, 120529, 10.1016/j.energy.2021.120529 Wang, 2013, A general modeling method for optimal dispatch of combined cooling, heating and power microgrid, Proc. CSEE, 33, 26 Shiferaw, 2019, Time-varying correlation between agricultural commodity and energy price dynamics with Bayesian multivariate DCC-GARCH models, Phys Stat Mech Appl, 526, 120807, 10.1016/j.physa.2019.04.043 Xu, 2020, Data-driven risk-averse two-stage optimal stochastic scheduling of energy and reserve with correlated wind power, IEEE Trans Sustain Energy, 11, 436, 10.1109/TSTE.2019.2894693 Zhao, 2021, Modeling multivariate dependence by nonparametric pair-copula construction in composite system reliability evaluation, Int J Electr Power Energy Syst, 124, 106373, 10.1016/j.ijepes.2020.106373 Liu, 2020, Correlation and risk measurement modeling: a Markov-switching mixed Clayton copula approach, Reliab Eng Syst Saf, 197, 106808, 10.1016/j.ress.2020.106808 Apergis, 2020, Dependence structure in the Australian electricity markets: new evidence from regular vine copulae, Energy Econ, 90, 104834, 10.1016/j.eneco.2020.104834 He, 2019, Reliability modeling for integrated community energy system considering dynamic process of thermal loads, IET Energy Systems Integration, 1, 173, 10.1049/iet-esi.2019.0005 Deng, 2021, A new wind speed scenario generation method based on spatiotemporal dependency structure, Renew Energy, 163, 1951, 10.1016/j.renene.2020.10.132 Rockafellar, 2002, Conditional value-at-risk for general loss distributions, J Bank Finance, 26, 1443, 10.1016/S0378-4266(02)00271-6 Huiling, 2021, A control optimization model for CVaR risk of distribution systems with PVs/DSs/EVs using Q-learning powered adaptive differential evolution algorithm, Int J Electr Power Energy Syst, 132, 107209, 10.1016/j.ijepes.2021.107209 Zhou, 2019, A hybrid fuzzy multi-criteria decision-making approach for performance analysis and evaluation of park-level integrated energy system, Energy Convers Manag, 201, 112134, 10.1016/j.enconman.2019.112134 U.S. Energy Information Administration. Wholesale electricity and natural gas market data. https://www.eia.gov/historical wholesale market data/natural gas.xls.html.