A risk-averse decision based on IGDT/stochastic approach for smart distribution network operation under extreme uncertainties
Published 2021 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
A risk-averse decision based on IGDT/stochastic approach for smart distribution network operation under extreme uncertainties
Authors
Keywords
Distribution feeder reconfiguration (DFR), Distributed Generation (DG), Information gap decision theory (IGDT), Smart distribution network (SDN), Uncertainty, Unit Commitment (UC)
Journal
APPLIED SOFT COMPUTING
Volume 107, Issue -, Pages 107395
Publisher
Elsevier BV
Online
2021-04-19
DOI
10.1016/j.asoc.2021.107395
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Short-term wind speed prediction based on LMD and improved FA optimized combined kernel function LSSVM
- (2020) Zhongda Tian ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
- Risk-constrained stochastic power procurement of storage-based large electricity consumer
- (2020) Yan Cao et al. Journal of Energy Storage
- Interval based transmission contingency-constrained unit commitment for integrated energy systems with high renewable penetration
- (2020) Junkai Liang et al. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
- A chance-constrained energy management in multi-microgrid systems considering degradation cost of energy storage elements
- (2020) Farid Hamzeh Aghdam et al. Journal of Energy Storage
- Day-ahead energy management and feeder reconfiguration for microgrids with CCHP and energy storage systems
- (2020) Seyed Saeed Fazlhashemi et al. Journal of Energy Storage
- Modeling operation problem of active distribution networks with retailers and microgrids: A multi-objective bi-level approach
- (2020) Hadi Fateh et al. APPLIED SOFT COMPUTING
- A Residential Load Scheduling Based on Cost Efficiency and Consumer's Preference for Demand Response in Smart Grid
- (2020) Xunyan Jiang et al. ELECTRIC POWER SYSTEMS RESEARCH
- Multi-objective day-ahead energy management of a microgrid considering responsive loads and uncertainty of the electric vehicles
- (2020) Mostafa Sedighizadeh et al. JOURNAL OF CLEANER PRODUCTION
- Adaptive optimal fuzzy logic based energy management in multi-energy microgrid considering operational uncertainties
- (2020) Wei Dong et al. APPLIED SOFT COMPUTING
- GEPSO: A new generalized particle swarm optimization algorithm
- (2020) Davoud Sedighizadeh et al. MATHEMATICS AND COMPUTERS IN SIMULATION
- Game theory based interactive demand side management responding to dynamic pricing in price-based demand response of smart grids
- (2019) Rui Tang et al. APPLIED ENERGY
- Smart brute-force approach for distribution feeder reconfiguration problem
- (2019) Guillaume Parlier et al. ELECTRIC POWER SYSTEMS RESEARCH
- An efficient hybrid structure to solve economic-environmental energy scheduling integrated with demand side management programs
- (2019) Sobhan Dorahaki et al. ELECTRICAL ENGINEERING
- Simultaneous power and heat scheduling of microgrids considering operational uncertainties: A new stochastic p-robust optimization approach
- (2019) Mohammadreza Mazidi et al. ENERGY
- Price and income elasticities of residential and industrial electricity demand in the European Union
- (2019) Zsuzsanna Csereklyei ENERGY POLICY
- Near-optimal operation of the distributed energy resources in a smart microgrid district
- (2019) Pablo Cortés et al. JOURNAL OF CLEANER PRODUCTION
- Robust optimization for energy transactions in multi-microgrids under uncertainty
- (2018) Bingying Zhang et al. APPLIED ENERGY
- Stochastic multi-objective energy management in residential microgrids with combined cooling, heating, and power units considering battery energy storage systems and plug-in hybrid electric vehicles
- (2018) Mostafa Sedighizadeh et al. JOURNAL OF CLEANER PRODUCTION
- Assessment for Hierarchical Medical Policy Proposals Using Hesitant Fuzzy Linguistic Analytic Network Process
- (2018) Yuanhang Zheng et al. KNOWLEDGE-BASED SYSTEMS
- Optimal network reconfiguration and renewable DG integration considering time sequence variation in load and DGs
- (2018) Imen Ben Hamida et al. RENEWABLE ENERGY
- A Decentralized Renewable Generation Management and Demand Response in Power Distribution Networks
- (2018) Shahab Bahrami et al. IEEE Transactions on Sustainable Energy
- Stochastic multi-objective optimal energy and reactive power dispatch considering cost, loading margin and coordinated reactive power reserve management
- (2018) M. Ghaljehei et al. ELECTRIC POWER SYSTEMS RESEARCH
- Stochastic multi-objective economic-environmental energy and reserve scheduling of microgrids considering battery energy storage system
- (2018) Mostafa Sedighizadeh et al. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
- Implementation of advanced functionalities for Distribution Management Systems: Load forecasting and modeling through Artificial Neural Networks ensembles
- (2018) M. Saviozzi et al. ELECTRIC POWER SYSTEMS RESEARCH
- Portfolio selection of distributed energy generation projects considering uncertainty and project interaction under different enterprise strategic scenarios
- (2018) Yunna Wu et al. APPLIED ENERGY
- The evolution of electricity price on the German day-ahead market before and after the energy switch
- (2018) Abdolrahman Khoshrou et al. RENEWABLE ENERGY
- Design of a risk-averse decision making tool for smart distribution network operators under severe uncertainties: An IGDT-inspired augment ε-constraint based multi-objective approach
- (2016) Mohammadreza Mazidi et al. ENERGY
- Multi-objective optimal reconfiguration and DG (Distributed Generation) power allocation in distribution networks using Big Bang-Big Crunch algorithm considering load uncertainty
- (2016) Mobin Esmaeili et al. ENERGY
- Integration of nodal hourly pricing in day-ahead SDC (smart distribution company) optimization framework to effectively activate demand response
- (2015) Ahmad Ghasemi et al. ENERGY
- Optimal operation of distributed generations in micro-grids under uncertainties in load and renewable power generation using heuristic algorithm
- (2015) Nima Nikmehr et al. IET Renewable Power Generation
- Optimal Coordination and Scheduling of Demand Response via Monetary Incentives
- (2015) Mushfiqur R. Sarker et al. IEEE Transactions on Smart Grid
- Risk-Constrained Profit Maximization for Microgrid Aggregators With Demand Response
- (2015) Duong Tung Nguyen et al. IEEE Transactions on Smart Grid
- Reconfiguration of Radial Distribution Systems with Fuzzy Multi-Objective Approach Using Modified Big Bang-Big Crunch Algorithm
- (2014) Mostafa Sedighizadeh et al. ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING
- Application of the hybrid Big Bang-Big Crunch algorithm to optimal reconfiguration and distributed generation power allocation in distribution systems
- (2014) Mostafa Sedighizadeh et al. ENERGY
- Optimal Allocation of Energy Storage System for Risk Mitigation of DISCOs With High Renewable Penetrations
- (2013) Yu Zheng et al. IEEE TRANSACTIONS ON POWER SYSTEMS
- An Efficient Hybrid Big Bang–Big Crunch Algorithm for Multi-objective Reconfiguration of Balanced and Unbalanced Distribution Systems in Fuzzy Framework
- (2012) Mostafa Sedighizadeh et al. ELECTRIC POWER COMPONENTS AND SYSTEMS
- Effective implementation of the ε-constraint method in Multi-Objective Mathematical Programming problems
- (2009) George Mavrotas APPLIED MATHEMATICS AND COMPUTATION
- A Generic Operations Framework for Discos in Retail Electricity Markets
- (2009) Ayed A. S. Algarni et al. IEEE TRANSACTIONS ON POWER SYSTEMS
Become a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get StartedAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started