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Multi-scenario planning of pelagic island microgrid with generalized energy storage under the influence of typhoon.
- Source :
-
Electric Power Systems Research . Nov2023, Vol. 224, pN.PAG-N.PAG. 1p. - Publication Year :
- 2023
-
Abstract
- • The planning scenarios for island microgrids are categorized into three types, and selection methods are proposed for each type of scenario. • Establishing the unified GES model, which includes transferable load, reducible load, P2G-GS-MT, and energy storage. • Considering the impact of typhoons and utilizing GES, a planning model for pelagic island microgrids is developed, and a solution method for this model is presented. Stand-alone microgrid system consist of hybrid wind/photovoltaic/energy storage is one of the effective approaches to solve the problem for future pelagic island power supply. Also, the frequent typhoons have brought serious impact to the pelagic island microgrids. In this context, a multi-scenario planning model for pelagic island microgrid with generalized energy storage (GES) is proposed to address the issues of high-impact, low-probability typhoon events and insufficient flexibility in low-impact, high-probability situations. Given the impact of typhoons, the planning scenarios of island microgrids are divided into regular, typhoon and typhoon early warning scenarios. Meanwhile, the selection method for each type of scenario is given. In addition, this paper establishes the unified GES model which includes power to gas-gas storage-micro gas turbine (P2G-GS-MT), transferable loads, reducible loads, and electric energy storage. The proposed methodology has been validated on an enhanced microgrid, resulting in a cost reduction of 11.9% compared to traditional method. The results demonstrate that this approach reduces the planning capacity of equipment, cost reduction, and ensure uninterrupted power supply to important loads even during typhoon conditions. [ABSTRACT FROM AUTHOR]
- Subjects :
- *TYPHOONS
*ENERGY storage
*MICROGRIDS
*POWER resources
*COST control
*GAS turbines
Subjects
Details
- Language :
- English
- ISSN :
- 03787796
- Volume :
- 224
- Database :
- Academic Search Index
- Journal :
- Electric Power Systems Research
- Publication Type :
- Academic Journal
- Accession number :
- 171847734
- Full Text :
- https://doi.org/10.1016/j.epsr.2023.109747