Smart Microgrids as a Solution for Rural Electrification: Ensuring Long-Term Sustainability Through Cadastre and Business Models

Ubilla, Karen; Jiménez‐Estévez, Guillermo; Hernádez, Roberto; Reyes-Chamorro, Lorenzo; Irigoyen, Claudia Hernández; Severino, Bernardo; Palma‐Behnke, Rodrigo

doi:10.1109/tste.2014.2315651

Cited by 97 publications

(52 citation statements)

References 12 publications

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“…The operation, in general, should perform optimally in all its objectives: economic, technical, and environmental [4], [10], [21]. Planning, the economic feasibility of MG implementation is investigated in this paper.…”

Section: A Microgrid Planningmentioning

confidence: 99%

“…A bank of batteries (BB) and a genset (GS) are also included. In this study, an optimal combination of MG components is found to satisfy the required electrical load, and optimize the least total Present Value of the Cost (PVC) [4]. The total PVC includes the initial capital cost of the components, the cost of the operation and maintenance (O&M), and the cost of component replacements that occur within the lifecycle of the project.…”

Section: A Microgrid Planningmentioning

confidence: 99%

“…In this paper, the incorporation of Non-Conventional Renewable Energies (NCRE) as source of energy supply is evaluated as a sustainable solution for electrification of rural areas [4]. The economic costs of operating NCRE projects can be lower than those of other types of traditional electrification projects.…”

Section: Introductionmentioning

confidence: 99%

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Microgrid planning based on fuzzy interval models of renewable resources

Morales

Sáez

Marín

et al. 2016

2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

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Abstract-Microgrids are sustainable solutions for electrification of rural zones that can make use of their local renewable resources. In this paper, we propose a new method for microgrid planning which includes the effect of the uncertainties of the renewable resources explicitly. Fuzzy interval models are used because they can capture nonlinearities and systematically represent the uncertainties associated with renewable resources at a certain confidence level. Relying on interval fuzzy models and by considering a set of possible scenarios for the renewable resources, the solution to the microgrid planning problem is given through the optimal sizing and topology of the microgrid. This information, particularly the optimal sizes of generators and the economic analysis, is useful for the design phase of a microgrid project. The proposed methodology is applied to the microgrid planning of the rural Mapuche community, José Painecura, in Chile.

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Section: A Microgrid Planningmentioning

confidence: 99%

Section: A Microgrid Planningmentioning

confidence: 99%

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Microgrid planning based on fuzzy interval models of renewable resources

Morales

Sáez

Marín

et al. 2016

2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

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“…The vision of the European Consumer Organization focuses on the citizen and the quality of life in smart communities, to use the benefit of the new technologies in order to reduce bills, while participating actively in the market to stimulate competition and support energy efficiency [9]. Some studies have indicated the interest of communities in increasing their collaboration in order to improve the resilience of their energy ecosystems [10], or in building a prosumer community group [11][12][13][14].…”

Section: Introductionmentioning

confidence: 99%

“…Together with methodologies of engaging the community in microgrid operation and maintenance, a long-run benefit is envisioned [14]. Besides optimal operation techniques for a single home or microgrid, various control strategies have been proposed in the literature that consider several characteristics of the microgrid operation [23,24].…”

Section: Introductionmentioning

confidence: 99%

Resilient Prosumer Scenario in a Changing Regulatory Environment—The UniRCon Solution

et al. 2017

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Technological developments are pushing for new solutions based upon massive integration of renewable electricity generation in networks already facing many challenges. This paper presents a novel approach to managing the energy transfer towards prosumers making use of smart management of local energy storage. The proposed design (including storage dimensioning) is based on several operating scenarios in which the prosumer might operate as: (i) a "load only" entity (from a grid perspective), thus exhibiting investment resiliency against regulatory changes and high energy efficiency; or (ii) a prosumer, in case regulatory opportunistic profit might be available. This can be realized within a newly proposed Uni-directional Resilient Consumer (UniRCon) architecture. The major aim of the proposed architecture is to achieve optimal self-consumption while avoiding curtailment even in a changing regulatory environment like, for example, the total lack of incentives for generation based on renewable energy sources (RES). One of the major advantages of the proposed architecture consists in the adaptability to changes in the regulatory and market environment. The term resilience is used with multiple meanings: (a) the prosumer's financial resilience against regulatory changes when investment calculations assume no-grid injections; (b) the prosumer's technical resilience, with electrical design based on standalone operation; (c) the resilience of clusters of interconnected end-user installations with enabled community-level electricity exchange, independent of the existing main grid supply; (d) the contribution to grid resilience, by enabling AC microgrid (MG) operation in island mode when large portions of the grid are formed by clusters of UniRCon prosumers (the ease of islanding segmentation of the local grid in case of emergencies). For proof of concept, three use-cases are detailed: (i) photovoltaic (PV) installations connected behind the meter; (ii) PV and storage available and controllable behind the meter; and (iii) the UniRCon architecture. The three use-cases are then compared and assessed for four near-future timelines as starting points for the investment. Numerical simulations show the attractiveness of the UniRCon solution in what concerns both system operation costs and supply resilience. Savings are expressed as opportunity savings arising from difference in tariffs while charging and discharging the storage unit and due to the avoidance of curtailment, as well as special taxes for the connection of PV (depending on regulatory environment). An extension of the UniRCon concept is presented also at community scale, with neighbourhood energy exchange inside a resilient cluster.

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Consumption modeling based on Markov chains and Bayesian networks for a demand side management design of isolated microgrids

Roje

Marín

Sáez

et al. 2016

Int. J. Energy Res.

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Summary This paper proposes a novel simulator of energy consumption patterns that allows designing demand side management (DSM) strategies without economic incentives. The simulator emulates consumers' patterns with and without installed DSM interfaces, based on both actual consumption measurements and surveys applied to the inhabitants of an existing isolated microgrid (Huatacondo, Chile) that has a particular DSM strategy without economic incentives. The simulator uses Markov chains to generate data characterizing consumption patterns without DSM and Bayesian networks for cases in which the users respond to the DSM strategy. Data obtained from the simulator are used to derive a response model of the consumers to the DSM interface, which can be included for the energy management system design. Results show that the implemented strategy can be effective and can generate savings up to 4.45% in diesel consumption for an ideal case where all the dwellings have the interface installed. Copyright © 2016 John Wiley & Sons, Ltd.

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Smart Microgrids as a Solution for Rural Electrification: Ensuring Long-Term Sustainability Through Cadastre and Business Models

Cited by 97 publications

References 12 publications

Microgrid planning based on fuzzy interval models of renewable resources

Microgrid planning based on fuzzy interval models of renewable resources

Resilient Prosumer Scenario in a Changing Regulatory Environment—The UniRCon Solution

Consumption modeling based on Markov chains and Bayesian networks for a demand side management design of isolated microgrids

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