Robust stochastic optimal dispatching method of multi-energy virtual power plant considering multiple uncertainties
出版年份 2020 全文链接
标题
Robust stochastic optimal dispatching method of multi-energy virtual power plant considering multiple uncertainties
作者
关键词
Multi-energy virtual power plant, Multiple uncertainties, Two-stage robust optimization, Stochastic optimization, Economic dispatch
出版物
APPLIED ENERGY
Volume 279, Issue -, Pages 115707
出版商
Elsevier BV
发表日期
2020-09-18
DOI
10.1016/j.apenergy.2020.115707
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Optimal Design of Integrated Energy System Considering Economics, Autonomy and Carbon Emissions
- (2019) Yongli Wang et al. JOURNAL OF CLEANER PRODUCTION
- Model predictive control based robust scheduling of community integrated energy system with operational flexibility
- (2019) Chaoxian Lv et al. APPLIED ENERGY
- Risk-based scheduling of smart apartment building under market price uncertainty using robust optimization approach
- (2019) Afshin Najafi-Ghalelou et al. Sustainable Cities and Society
- Bi-level multi-time scale scheduling method based on bidding for multi-operator virtual power plant
- (2019) Xiangyu Kong et al. APPLIED ENERGY
- A multi-objective robust scheduling model and solution algorithm for a novel virtual power plant connected with power-to-gas and gas storage tank considering uncertainty and demand response
- (2019) Liwei Ju et al. APPLIED ENERGY
- Operation optimization of regional integrated energy system based on the modeling of electricity-thermal-natural gas network
- (2019) Yongli Wang et al. APPLIED ENERGY
- A bi-level scheduling model for virtual power plants with aggregated thermostatically controlled loads and renewable energy
- (2018) Congying Wei et al. APPLIED ENERGY
- An improved K-medoids algorithm based on step increasing and optimizing medoids
- (2018) Donghua Yu et al. EXPERT SYSTEMS WITH APPLICATIONS
- Wind and Solar Power Integration in Electricity Markets and Distribution Networks Through Service-Centric Virtual Power Plants
- (2018) Despina Koraki et al. IEEE TRANSACTIONS ON POWER SYSTEMS
- Robust Coordinated Transmission and Generation Expansion Planning Considering Ramping Requirements and Construction Periods
- (2018) Jia Li et al. IEEE TRANSACTIONS ON POWER SYSTEMS
- Model-Free Renewable Scenario Generation Using Generative Adversarial Networks
- (2018) Yize Chen et al. IEEE TRANSACTIONS ON POWER SYSTEMS
- Stochastic Optimization with Risk Aversion for Virtual Power Plant Operations: A Rolling Horizon Control
- (2018) Andrea Castillo et al. IET Generation Transmission & Distribution
- Robust scheduling of thermal, cooling and electrical hub energy system under market price uncertainty
- (2018) Afshin Najafi-Ghalelou et al. APPLIED THERMAL ENGINEERING
- Day-Ahead Self-Scheduling of a Virtual Power Plant in Energy and Reserve Electricity Markets Under Uncertainty
- (2018) Ana Baringo et al. IEEE TRANSACTIONS ON POWER SYSTEMS
- Day-ahead scheduling of virtual power plant in joint energy and regulation reserve markets under uncertainties
- (2017) Ali Shayegan-Rad et al. ENERGY
- Scheduling deferrable appliances and energy resources of a smart home applying multi-time scale stochastic model predictive control
- (2017) Mehdi Rahmani-Andebili Sustainable Cities and Society
- Bidding Strategy for Microgrid in Day-Ahead Market Based on Hybrid Stochastic/Robust Optimization
- (2016) Guodong Liu et al. IEEE Transactions on Smart Grid
- The design of a risk-hedging tool for virtual power plants via robust optimization approach
- (2015) Morteza Shabanzadeh et al. APPLIED ENERGY
- Look Ahead Robust Scheduling of Wind-Thermal System With Considering Natural Gas Congestion
- (2015) Cong Liu et al. IEEE TRANSACTIONS ON POWER SYSTEMS
- Solving two-stage robust optimization problems using a column-and-constraint generation method
- (2013) Bo Zeng et al. OPERATIONS RESEARCH LETTERS
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now