Power Generation Planning of Galapagos’ Microgrid Considering Electric Vehicles and Induction Stoves

Clairand, Jean-Michel; Arriaga, Mariano; Cañizares, Claudio A.; Álvarez-Bel, Carlos

doi:10.1109/pesgm40551.2019.8973897

Cited by 7 publications

(9 citation statements)

References 25 publications

(34 reference statements)

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“…In the literature, the sizing of PV and storage systems has been studied in several contexts, including micro-grids [9,10,13] and building-scale systems [16,21,22]. At a high level, the strategy used by existing work is to assume the availability of load and PV generation measurements for one or more years, which in recent years have become more readily available for consumers [4,18], and use them to compute a sizing that would be optimal over the given data.…”

Section: Related Workmentioning

confidence: 99%

Sizing Solar Panels and Storage for Multiple Roofs

Huang

Kazhamiaka

Keshav

2021

Proceedings of the Twelfth ACM International Conference on Future Energy Systems

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Choosing the number of solar panels and the amount of storage needed to meet a certain fraction of the load in a microgrid setting is a difficult problem that needs to balance the competing objectives of efficiency, robustness, and cost. Prior work in this area makes the unrealistic assumption that solar panels are to be installed on a single roof that is capable of supporting all the panels required. In reality, we may need to deploy solar panels on several roof segments, each of limited size, and each with its own tilt, orientation and installation cost. This paper presents an algorithm for sizing solar panels and storage in this context. We evaluate the robustness of our approach using traces derived from the Pecan Street Dataport dataset and demonstrate the value of our approach by using it to size a hypothetical installation on the British Antarctic Survey's research base in Antarctica. CCS CONCEPTS• Hardware → Batteries; Renewable energy.

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Section: Related Workmentioning

confidence: 99%

Sizing Solar Panels and Storage for Multiple Roofs

Huang

Kazhamiaka

Keshav

2021

Proceedings of the Twelfth ACM International Conference on Future Energy Systems

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“…The transfer function generally used to solve BDA is (12) This transfer function first does counting of the probability of changing position of all dragonflies.…”

Section: Binary Dragonfly Algorithm (Bda)mentioning

confidence: 99%

“…So micro-grid control under islanded condition creates huge challenges for power engineers. Apart from this if micro-grid system is associated with large plug in electric vehicles (EV), such nonlinear electrical load largely affect the system frequency [11][12]. Hence, an effective control scheme is always needed for controlling of the power supplied from the swinging power sources.…”

Section: Introductionmentioning

confidence: 99%

Robust Frequency Control of an Islanded AC Micro Grid using BDA Optimized 3DOF Controller under Plug in Electric Vehicle

Sahu¹,

Prusty²

2019

IJEAT

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The article presents the effectiveness of a Binary Dragonfly Algorithm (BDA) based 3-DOF controller for robust frequency control in an islanded AC micro-grid system under different uncertainties. A micro-grid is incorporated with the integration of various renewable energy based distributed generations (DG). The proposed micro-grid system is structured with wind turbine generator (WTG), Photo voltaic (PV) system, Diesel engine generator (DEG), Micro-turbines (MT), Aqua electrolyzer based Fuel Cells(FC) and with few energy storage devices i.e Battery energy storage (BES) and Flywheel energy storage (FES). Moreover a chargeable plug in electric vehicle is effected as load side demand while obtaining frequency control mechanism in micro-grid system. However large dynamics, low inertia and incurred uncertainties of most DG system affects system performance especially on system frequency seriously. In view of this to obtain robust control mechanism in islanded micro-grid system the article proposes a novel Binary Dragonfly Algorithm based 3-DOF controller to ensure servicing of good quality power to remote consumers. The performances of proposed BDA optimized 3-DOF controller is compared with conventional PSO, GA technique based PID and PI controller in order to justify supremacy of proposed approaches. Finally it has been suggested that the proposed BDA optimized 3-DOF controller is more effectiveness over other optimized controllers.

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“…The IEEE defines a microgrid as a cluster of loads, distributed generation, and energy storage systems [7]. While the microgrids considered here are in the 5-50-kWp range, microgrid applications can exceed 1 MW in many cases [13]. In this paper, microgrids in this context are referred to as minigrids.…”

Section: Introductionmentioning

confidence: 99%

Electrical Minigrids for Development: Lessons From the Field

Bahaj

James

2019

Proc. IEEE

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| Energy services are crucial to human wellbeing and development, and without reliable energy, it is difficult to escape subsistence lifestyles and poverty. Here, we report on four identical capacity rural minigrid interventions undertaken in Kenya and Uganda with differing socioeconomic characteristics and demographics. The research outcomes presented briefly discuss the preparation stages of the interventions including community surveys that informed the technical design, deployment phases, and setup of the community cooperatives to manage the minigrid projects. The main focus here is on lessons learned, including system design and minigrid performance under various load profiles. The results show a clear and increasing uptake of power by the communities with intensities varying depending on the electricity tariff used.Across the four minigrids, daily electricity growth rates are seen to vary by a factor of 8. The Ugandan minigrids operated at close to utility grid tariff and reached the 28-kWh/day design limit within two years. By contrast, the Kenyan minigrids charged a higher cost recovery tariff, which capped the demand and systems operate below the design limit. These findings have implications not only to system design but also to system stability and longevity. The approach taken here, of community centered cooperatives running the delivered minigrids, is now embedded within the rural electrification authorities/agencies in both countries, with additional similar projects being planned in ramifications, and replication of such a minigrid concept as compared to other approaches are also discussed in this paper. KEYWORDS | Community power; cooperatives energy services; electricity for remote villages; energy access; energy and development; minigrids; photovoltaics (PV) power systems; renewable energy. This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see

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Power Generation Planning of Galapagos’ Microgrid Considering Electric Vehicles and Induction Stoves

Cited by 7 publications

References 25 publications

Sizing Solar Panels and Storage for Multiple Roofs

Sizing Solar Panels and Storage for Multiple Roofs

Robust Frequency Control of an Islanded AC Micro Grid using BDA Optimized 3DOF Controller under Plug in Electric Vehicle

Electrical Minigrids for Development: Lessons From the Field

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