Design and optimal energy management of community microgrids with flexible renewable energy sources
Published 2021 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Design and optimal energy management of community microgrids with flexible renewable energy sources
Authors
Keywords
Community microgrid, Biomass gasifier generator, Local market, LCOE, Bilevel programming, Reinforcement learning
Journal
RENEWABLE ENERGY
Volume 183, Issue -, Pages 903-921
Publisher
Elsevier BV
Online
2021-11-19
DOI
10.1016/j.renene.2021.11.024
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Attracting investment for Africa's protected areas by creating enabling environments for collaborative management partnerships
- (2021) P. Lindsey et al. BIOLOGICAL CONSERVATION
- Feasibility analysis and optimization of an energy-water-heat nexus supplied by an autonomous hybrid renewable power generation system: An empirical study on airport facilities
- (2021) M.R. Elkadeem et al. DESALINATION
- Modelling and analysis of a two-level incentive mechanism based peer-to-peer energy sharing community
- (2021) Yahui Wang et al. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
- Blockchain Technology for Information Security of the Energy Internet: Fundamentals, Features, Strategy and Application
- (2020) Zilong Zeng et al. Energies
- Optimal Operation Control of PV-Biomass Gasifier-Diesel-Hybrid Systems Using Reinforcement Learning Techniques
- (2020) Alexander N. Kozlov et al. Energies
- Unpacking the complexity of community microgrids: A review of institutions’ roles for development of microgrids
- (2020) Martin Warneryd et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- Optimum combination of renewable resources to meet local power demand in distributed generation: A case study for a remote place of India
- (2020) Sayan Das et al. ENERGY
- Improvement of clear sky models for direct solar irradiance considering turbidity factor variable during the day
- (2020) Camelia Liliana Moldovan et al. RENEWABLE ENERGY
- State-of-the-art techniques for modelling of uncertainties in active distribution network planning: A review
- (2019) Ali Ehsan et al. APPLIED ENERGY
- A community microgrid architecture with an internal local market
- (2019) Bertrand Cornélusse et al. APPLIED ENERGY
- Decision-making based on energy costs: Comparing levelized cost of energy and energy system costs
- (2019) Kenneth Hansen Energy Strategy Reviews
- Microgrid combined power-heat economic-emission dispatch considering stochastic renewable energy resources, power purchase and emission tax
- (2019) Muwaffaq I. Alomoush ENERGY CONVERSION AND MANAGEMENT
- Levelized cost of solar photovoltaics and wind supported by storage technologies to supply firm electricity
- (2019) Ruchi Gupta et al. Journal of Energy Storage
- Designing microgrid energy markets
- (2018) Esther Mengelkamp et al. APPLIED ENERGY
- A new approach to electricity market clearing with uniform purchase price and curtailable block orders
- (2018) Iacopo Savelli et al. APPLIED ENERGY
- Optimal planning of microgrid power and operating reserve capacity
- (2018) Mike Quashie et al. APPLIED ENERGY
- Energy Collectives: a Community and Fairness based Approach to Future Electricity Markets
- (2018) Fabio Moret et al. IEEE TRANSACTIONS ON POWER SYSTEMS
- Microgrids: A review of technologies, key drivers, and outstanding issues
- (2018) Adam Hirsch et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- Optimal Stochastic Operation of Integrated Low-Carbon Electric Power, Natural Gas, and Heat Delivery System
- (2018) Yong Li et al. IEEE Transactions on Sustainable Energy
- Exergoenvironmental analysis concerning the wood chips and wood pellets production chains
- (2018) Matheus F. Pereira et al. BIOMASS & BIOENERGY
- Indirect Mechanism Design for Efficient and Stable Renewable Energy Aggregation
- (2018) Hossein Khazaei et al. IEEE TRANSACTIONS ON POWER SYSTEMS
- A feasibility analysis of distributed power plants from agricultural residues resources gasification in rural China
- (2018) Yi Huang et al. BIOMASS & BIOENERGY
- Estimation of Hourly, Daily and Monthly Global Solar Radiation on Inclined Surfaces: Models Re-Visited
- (2017) Seyed Mousavi Maleki et al. Energies
- Distributed energy infrastructure paradigm: Community microgrids in a new institutional economics context
- (2017) Emi Minghui Gui et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- The potential role of solid biomass for rural electrification: A techno economic analysis for a hybrid microgrid in India
- (2016) Simone Mazzola et al. APPLIED ENERGY
- Market integration of local energy systems: Is local energy management compatible with European regulation for retail competition?
- (2016) Cherrelle Eid et al. ENERGY
- Design of Pareto optimal CO2 cap-and-trade policies for deregulated electricity networks
- (2014) Felipe Feijoo et al. APPLIED ENERGY
- New types of simple non-linear models to compute solar global irradiance from cloud cover amount
- (2014) Viorel Badescu et al. JOURNAL OF ATMOSPHERIC AND SOLAR-TERRESTRIAL PHYSICS
- Loss minimization techniques used in distribution network: bibliographical survey
- (2013) Shilpa Kalambe et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- A Survey of Monte Carlo Tree Search Methods
- (2012) Cameron B. Browne et al. IEEE Transactions on Computational Intelligence and AI in Games
- Comparing the cost of electricity sourced from a fuel cell-based renewable energy system and the national grid to electrify a rural health centre in India: A case study
- (2011) Suresh Munuswamy et al. RENEWABLE ENERGY
- Design and operation of the locational marginal prices-based electricity markets
- (2010) E. Litvinov IET Generation Transmission & Distribution
Create your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create NowBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started