A two-stage stochastic-robust optimization for a hybrid renewable energy CCHP system considering multiple scenario-interval uncertainties
出版年份 2022 全文链接
标题
A two-stage stochastic-robust optimization for a hybrid renewable energy CCHP system considering multiple scenario-interval uncertainties
作者
关键词
Combined cooling, Heating and power (CCHP), Renewable energy penetration, Net interaction level, Multiple uncertainties, Stochastic-robust optimization, Optimal device capacity
出版物
ENERGY
Volume 247, Issue -, Pages 123498
出版商
Elsevier BV
发表日期
2022-02-17
DOI
10.1016/j.energy.2022.123498
参考文献
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注意:仅列出部分参考文献,下载原文获取全部文献信息。- Robust capacity optimization methods for integrated energy systems considering demand response and thermal comfort
- (2021) Xiaohui Yang et al. ENERGY
- Stochastic multi-scenario optimization for a hybrid combined cooling, heating and power system considering multi-criteria
- (2021) Rujing Yan et al. ENERGY CONVERSION AND MANAGEMENT
- Optimal scheduling of integrated demand response-enabled integrated energy systems with uncertain renewable generations: A Stackelberg game approach
- (2021) Yang Li et al. ENERGY CONVERSION AND MANAGEMENT
- Multi-objective optimization and selection of hybrid combined cooling, heating and power systems considering operational flexibility
- (2020) Jiangjiang Wang et al. ENERGY
- A stochastic-robust coordinated optimization model for CCHP micro-grid considering multi-energy operation and power trading with electricity markets under uncertainties
- (2020) Yuwei Wang et al. ENERGY
- Novel planning methodology for energy stations and networks in regional integrated energy systems
- (2020) Rujing Yan et al. ENERGY CONVERSION AND MANAGEMENT
- Multi-objective design optimization of a multi-generation energy system based on geothermal and solar energy
- (2020) Seyed Mojtaba Alirahmi et al. ENERGY CONVERSION AND MANAGEMENT
- Improving operational flexibility of integrated energy system with uncertain renewable generations considering thermal inertia of buildings
- (2020) Yang Li et al. ENERGY CONVERSION AND MANAGEMENT
- Quantifying the impacts of climate change and extreme climate events on energy systems
- (2020) A. T. D. Perera et al. Nature Energy
- Review on climate and water resource implications of reducing renewable power curtailment in China: A nexus perspective
- (2020) Qi Cui et al. APPLIED ENERGY
- Economic and efficient multi-objective operation optimization of integrated energy system considering electro-thermal demand response
- (2020) Yongli Wang et al. ENERGY
- Decentralized robust energy and reserve Co-optimization for multiple integrated electricity and heating systems
- (2020) Jin Tan et al. ENERGY
- Multi-objective optimisation of an interactive buildings-vehicles energy sharing network with high energy flexibility using the Pareto archive NSGA-II algorithm
- (2020) Yuekuan Zhou et al. ENERGY CONVERSION AND MANAGEMENT
- Integrated energy systems’ modeling studies for sub-Saharan Africa: A scoping review
- (2020) Xavier S. Musonye et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- A review of power system planning and operational models for flexibility assessment in high solar energy penetration scenarios
- (2020) Michael Emmanuel et al. SOLAR ENERGY
- Reliability Assessment and Congestion Management of Power System with Energy Storage System and Uncertain Renewable Resources
- (2020) Vijaykumar K. Prajapati et al. ENERGY
- A systematic method for the analysis of energy supply reliability in complex Integrated Energy Systems considering uncertainties of renewable energies, demands and operations
- (2020) Huai Su et al. JOURNAL OF CLEANER PRODUCTION
- A double-layer planning method for integrated community energy systems with varying energy conversion efficiencies
- (2020) Yunfei Mu et al. APPLIED ENERGY
- Energy, exergy, exergoeconomic and environmental (4E) analysis of a distributed generation solar-assisted CHP (cooling, heating and power) gas turbine system
- (2019) Jiangjiang Wang et al. ENERGY
- Optimal design and performance analysis of solar hybrid CCHP system considering influence of building type and climate condition
- (2019) G. Yang et al. ENERGY
- Bi-stage stochastic model for optimal capacity and electric cooling ratio of CCHPs—a case study for a hotel
- (2019) Tao Zhang et al. ENERGY AND BUILDINGS
- The Optimal Design and Operation Strategy of Renewable Energy-CCHP Coupled System Applied in Five Building Objects
- (2019) Xingyi Zhu et al. RENEWABLE ENERGY
- Redefining energy system flexibility for distributed energy system design
- (2019) A.T.D. Perera et al. APPLIED ENERGY
- Energy scheduling of community microgrid with battery cost using particle swarm optimisation
- (2019) Md Alamgir Hossain et al. APPLIED ENERGY
- Urban community energy systems design under uncertainty for specified levels of carbon dioxide emissions
- (2019) Sayyed Faridoddin Afzali et al. APPLIED ENERGY
- An efficient robust optimization model for the unit commitment and dispatch of multi-energy systems and microgrids
- (2019) Luca Moretti et al. APPLIED ENERGY
- Uncertainty models for stochastic optimization in renewable energy applications
- (2019) A. Zakaria et al. RENEWABLE ENERGY
- Quantifying demand flexibility of power-to-heat and thermal energy storage in the control of building heating systems
- (2018) Christian Finck et al. APPLIED ENERGY
- Integration of distributed energy storage into net-zero energy district systems: Optimum design and operation
- (2018) Mohammad Sameti et al. ENERGY
- A robust optimization approach for integrated community energy system in energy and ancillary service markets
- (2018) Yizhou Zhou et al. ENERGY
- Optimization under uncertainty of a biomass-integrated renewable energy microgrid with energy storage
- (2018) Yingying Zheng et al. RENEWABLE ENERGY
- Stochastic optimal scheduling of distributed energy resources with renewables considering economic and environmental aspects
- (2018) M. Di Somma et al. RENEWABLE ENERGY
- A bi-level stochastic scheduling optimization model for a virtual power plant connected to a wind–photovoltaic–energy storage system considering the uncertainty and demand response
- (2016) Liwei Ju et al. APPLIED ENERGY
- Integrated Energy Systems
- (2016) Jianzhnog Wu et al. APPLIED ENERGY
- Optimal operation of DES/CCHP based regional multi-energy prosumer with demand response
- (2016) Hongming Yang et al. APPLIED ENERGY
- Optimal planning and scheduling of energy hub in presence of wind, storage and demand response under uncertainty
- (2016) Samaneh Pazouki et al. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
- Stochastic-heuristic methodology for the optimisation of components and control variables of PV-wind-diesel-battery stand-alone systems
- (2016) Rodolfo Dufo-López et al. RENEWABLE ENERGY
- Adaptive Robust Optimization With Dynamic Uncertainty Sets for Multi-Period Economic Dispatch Under Significant Wind
- (2015) Alvaro Lorca et al. IEEE TRANSACTIONS ON POWER SYSTEMS
- A novel software for design and optimization of hybrid power systems
- (2015) Ali M. Eltamaly et al. Journal of the Brazilian Society of Mechanical Sciences and Engineering
- Solving two-stage robust optimization problems using a column-and-constraint generation method
- (2013) Bo Zeng et al. OPERATIONS RESEARCH LETTERS
- A two-stage stochastic programming model for the optimal design of distributed energy systems
- (2012) Zhe Zhou et al. APPLIED ENERGY
- Putting renewables and energy efficiency to work: How many jobs can the clean energy industry generate in the US?
- (2009) Max Wei et al. ENERGY POLICY
- Review on multi-criteria decision analysis aid in sustainable energy decision-making
- (2009) Jiang-Jiang Wang et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- Public acceptance of renewable energies: Results from case studies in Germany
- (2008) Jan Zoellner et al. ENERGY POLICY
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