Economic Optimal Scheduling of Wind–Photovoltaic-Storage with Electric Vehicle Microgrid Based on Quantum Mayfly Algorithm
Published 2022 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Economic Optimal Scheduling of Wind–Photovoltaic-Storage with Electric Vehicle Microgrid Based on Quantum Mayfly Algorithm
Authors
Keywords
-
Journal
Applied Sciences-Basel
Volume 12, Issue 17, Pages 8778
Publisher
MDPI AG
Online
2022-09-01
DOI
10.3390/app12178778
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Robust Optimal Control for Demand Side Management of Multi-Carrier Microgrids
- (2022) Raffaele Carli et al. IEEE Transactions on Automation Science and Engineering
- Microgrid Operations Planning Based on Improving the Flying Sparrow Search Algorithm
- (2022) Trong-The Nguyen et al. Symmetry-Basel
- Multi-Objective Mayfly Optimization-Based Frequency Regulation for Power Grid With Wind Energy Penetration
- (2022) Chao Liu et al. Frontiers in Energy Research
- Multi-objective optimal scheduling of microgrid with electric vehicles
- (2022) Yu Mei et al. Energy Reports
- Noncooperative Equilibrium-Seeking in Distributed Energy Systems Under AC Power Flow Nonlinear Constraints
- (2022) Paolo Scarabaggio et al. IEEE Transactions on Control of Network Systems
- Energy management in microgrid using incentive-based demand response and reconfigured network considering uncertainties in renewable energy sources
- (2021) Pratik Harsh et al. Sustainable Energy Technologies and Assessments
- Optimal sizing of renewable energy systems in a Microgrid considering electricity market interaction and reliability analysis
- (2021) Seyed Mehdi Hakimi et al. ELECTRIC POWER SYSTEMS RESEARCH
- Energy Management Scheduling for Microgrids in the Virtual Power Plant System Using Artificial Neural Networks
- (2021) Maher G. M. Abdolrasol et al. Energies
- Two-stage intelligent planning with improved artificial bee colony algorithm for a microgrid by considering the uncertainty of renewable sources
- (2021) Muhammad Hammad Saeed et al. Energy Reports
- An effective energy flow management in grid-connected solar–wind-microgrid system incorporating economic and environmental generation scheduling using a meta-dynamic approach-based multiobjective flower pollination algorithm
- (2021) Meenakshi De et al. Energy Reports
- A mayfly optimization algorithm
- (2020) Konstantinos Zervoudakis et al. COMPUTERS & INDUSTRIAL ENGINEERING
- Multidispatch for Microgrid including Renewable Energy and Electric Vehicles with Robust Optimization Algorithm
- (2020) Ruifeng Shi et al. Energies
- Distributed optimization for scheduling energy flows in community microgrids
- (2020) Brida V. Mbuwir et al. ELECTRIC POWER SYSTEMS RESEARCH
- Hierarchical Optimization Method for Energy Scheduling of Multiple Microgrids
- (2019) Tao Rui et al. Applied Sciences-Basel
- Distributed Optimal Coordinated Operation for Distribution System with the Integration of Residential Microgrids
- (2019) Wang et al. Applied Sciences-Basel
- An Optimal Power-Flow Approach to Improve Power System Voltage Stability Using Demand Response
- (2019) Mengqi Yao et al. IEEE Transactions on Control of Network Systems
- Energy Management in Electrical Smart Grid Environment Using Robust Optimization Algorithm
- (2018) Fady Y. Melhem et al. IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationAdd your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload Now