Multicriteria Decision Analysis in Geographic Information Systems for Identifying Ideal Locations for New Substations

Zambrano-Asanza, Sergio; Chumbi, Wilson; Padilha‐Feltrin, Antonio

doi:10.1007/s40313-021-00738-5

Cited by 6 publications

(5 citation statements)

References 28 publications

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“…The results have a similar form, where various risk factors were also implemented, prioritizing the analytical study for the best approach to the matrix. When analyzing the article "Multicriteria Decision Analysis in Geographic Information Systems for Identifying Ideal Locations for New Substations" and comparing it with our result, it can be explained that the study proposed in both investigations can identify ideal sites, and they are used by the planner to find the best long-term design alternative for work [33].…”

Section: Interpretation Of Results and Discussionmentioning

confidence: 77%

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Proposal for the Location of a Waste Management Center on a University Campus: A Case Study

Merchán-Sanmartín

GUADAMUD-SOLEDISPA

BRAVO-MURILLO

et al. 2022

WIT Transactions on Ecology and the Environment

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Garbage management and the use of waste are part of sustainable development goals (SDGs) 8, 11, and 12. The recycling process is simple and contributes to improving the environment. Therefore, garbage management in Ecuador is a relevant issue that society must address regardless of the size of the community that generates it. In this case, university campuses need services and infrastructure, including waste management at the scale of a small city, because they require services like these (e.g., accommodation, transportation, cleaning, and waste management). This research seeks to propose the ideal location for a separation, assessment, and recycling center (CSVR), through the implementation of a multi-criteria matrix, with the application of the vertical electrical sounding techniques (SEVs), for the sustainable management of waste. The methodological process includes: (i) identification of probable sites; (ii) application of a multi-criteria matrix for CSVR; (iii) application of geophysical methods (SEVs); and (iv) interpretation of results and selection of suitable areas for the recycling center. Six sites were analyzed, of which three were ideal for the implementation of SEVs where there will be control and management of invasions, as well as non-contamination of water resources. All the selected areas are permeable in their superficial layer and favor leaching; therefore, waterproofing at its base and some design criteria that contemplate technical and environmental monitoring were recommended.

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Section: Interpretation Of Results and Discussionmentioning

confidence: 77%

“…The Pugh matrix was implemented to obtain the coefficients, which quantitatively relate each of the studied parameters. The weight of the criteria is given by the technical point of view modelled in GIS, plus the information obtained throughout the research, for example, the conditions mentioned in Table 1 [33].…”

Section: Methodsmentioning

confidence: 99%

Proposal for the Location of a Waste Management Center on a University Campus: A Case Study

Merchán-Sanmartín

GUADAMUD-SOLEDISPA

BRAVO-MURILLO

et al. 2022

WIT Transactions on Ecology and the Environment

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“…Energy storage systems are crucial in improving bus voltages and reducing operational costs. Proper placement of battery systems using the SFL method ensures timely restoration during power system failures [12]. Smart grids, which facilitate instantaneous recovery of energy supply, are recommended for their efficiency, particularly in managing the increasing loads from electric vehicles.…”

Section: Related Workmentioning

confidence: 99%

“…Recent studies have proposed advanced multi-agent and multi-objective clustering methods to address the complexities of distribution system optimization, taking into account factors such as load growth over time [9,11,12]. Techniques such as K-means clustering [13] and particle swarm optimization combined with genetic algorithms have shown promise in enhancing system sensitivity and reliability [2,14].…”

Section: Introductionmentioning

confidence: 99%

“…Techniques such as K-means clustering [13] and particle swarm optimization combined with genetic algorithms have shown promise in enhancing system sensitivity and reliability [2,14]. These optimization strategies contribute to the development of intelligent tools for fault location and isolation, which are crucial for minimizing energy losses, reducing operating costs, and improving voltage profiles and the overall safety of distribution networks [12,14].…”

Section: Introductionmentioning

confidence: 99%

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Optimization of Impedance Relay Placement in Medium-Voltage Electrical Distribution Systems through Clustering Algorithms and Metaheuristics

Arpi,

Zambrano,

Robles

et al. 2024

Energies

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This study explores the feasibility of using impedance relays in electrical distribution systems, a context where their application is not as common as in transmission systems. Given the dynamic nature and complex topology of medium-voltage distribution systems, this work proposes an innovative methodology integrating clustering algorithms and metaheuristic techniques to optimize the placement of impedance relays and enhance system reliability and resilience. Using CYME simulation and the Ant Colony Optimization (ACO) method, case studies were designed to validate the effectiveness of the proposed methodology. The results demonstrated that strategic placement of impedance relays reduces failure frequency and significantly improves the system’s response to such failures. This approach allows for a more efficient configuration and quicker response, which is crucial for maintaining continuity and quality of power supply. A detailed analysis of system behavior under various fault scenarios illustrates the robustness and adaptability of the proposed solution, marking a significant advancement in the protection and optimization of electrical distribution systems.

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Decision-making models in the optimization of electric vehicle charging station locations: a review

Pinto,

Filipe,

Baptista

et al. 2024

2024 IEEE 22nd Mediterranean Electrotechnical Conference (MELECON)

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Multicriteria Decision Analysis in Geographic Information Systems for Identifying Ideal Locations for New Substations

Cited by 6 publications

References 28 publications

Proposal for the Location of a Waste Management Center on a University Campus: A Case Study

Proposal for the Location of a Waste Management Center on a University Campus: A Case Study

Optimization of Impedance Relay Placement in Medium-Voltage Electrical Distribution Systems through Clustering Algorithms and Metaheuristics

Decision-making models in the optimization of electric vehicle charging station locations: a review

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