Stochastic planning of islanded microgrids with uncertain multi-energy demands and renewable generations

Islanded microgrids (IMGs) are embedded power networks with distributed energy resources (DERs) providing a reliable and flexible energy option for off-grid customers. This work addresses the planning model of renewable-based IMGs feeding multi-energy demands considering investment and emission rela...

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Veröffentlicht in:IET renewable power generation Jg. 14; H. 19; S. 4179 - 4192
Hauptverfasser: Jithendranath, Jayachandranath, Das, Debapriya
Format: Journal Article
Sprache:Englisch
Veröffentlicht: The Institution of Engineering and Technology 28.12.2020
Schlagworte:
demand side management
distributed energy resources
distributed power generation
embedded power networks
emission related objectives
energy sources
flexible energy option
investment
islanded microgrids
meta‐heuristic multiobjective ant lion optimiser algorithm
Monte Carlo approach
Monte Carlo methods
multienergy dispatch
multiobjective optimisers
multiple energy demands
off‐grid customers
optimal mix
optimal sizing
optimisation
power distribution faults
power generation dispatch
power generation economics
power generation planning
power generation reliability
reliable energy option
renewable generations
renewable samples
renewable‐based IMG
Research Article
seasonal multienergy demands
solar generations
solar power
stochastic correlated data
stochastic planning model
stochastic processes
uncertain multienergy demands
wind generation
wind power
uncertain multienergy demands
power generation planning
embedded power networks
optimal mix
wind generation
power distribution faults
renewable-based IMG
distributed power generation
flexible energy option
stochastic planning model
power generation economics
optimisation
Monte Carlo methods
renewable samples
Monte Carlo approach
reliable energy option
meta-heuristic multiobjective ant lion optimiser algorithm
seasonal multienergy demands
stochastic processes
optimal sizing
power generation reliability
energy sources
solar power
distributed energy resources
investment
renewable generations
stochastic correlated data
emission related objectives
multiple energy demands
solar generations
multiobjective optimisers
power generation dispatch
wind power
multienergy dispatch
islanded microgrids
off-grid customers
demand side management
ISSN:1752-1416, 1752-1424
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Beschreibung
Zusammenfassung:Islanded microgrids (IMGs) are embedded power networks with distributed energy resources (DERs) providing a reliable and flexible energy option for off-grid customers. This work addresses the planning model of renewable-based IMGs feeding multi-energy demands considering investment and emission related objectives. The proposed solution is to determine the optimal mix and sizing of various energy sources in IMG, including renewables; for multiple energy demands. This study also presents a hybrid-scenario and Monte Carlo approach to gauge the uncertainty involved in multi-energy demands, i.e. electrical, heating, and cooling loads; together with correlation among wind and solar generations. The spatial interdependence among renewable generations is implemented using copula; that generates a synthetic set of stochastic correlated data. The combined load scenarios for multi-energy demands and renewable samples are implemented with the proposed hybrid approach in the formulated stochastic planning model. In this work, the formulated problem is proposed to solve using meta-heuristic multi-objective ant lion optimiser algorithm, that is validated on the test system. The superiority of the proposed approach is highlighted in comparison with other multi-objective optimisers. The multi-energy dispatch between associated sources and loads were simulated to show how the obtained capacity can suffice the seasonal multi-energy demands of a typical day considered.
ISSN:1752-1416
1752-1424
DOI:10.1049/iet-rpg.2020.0889