Optimal sizing and cost assesment of hybrid Renewable Energy Systems for Assam Engineering College

Saharia, Barnam Jyoti; Din, Zaheer ud; Manas, Munish; Ganguly, Amrita

doi:10.1109/indicon.2015.7443106

Cited by 7 publications

(2 citation statements)

References 17 publications

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“…The optimization is made with an improved method and the mono-objective optimization approach is minimizing the system cost. (Saharia, et al, 2016) worked on a renewable energy system for electrification of an education institution; the system was proved for stand-alone and gridconnected system and optimized by HOMER; they showed that the cost of energy is high in stand-alone mode.…”

Section: Review Of Hybrid Solar-wind Systems Sizingmentioning

confidence: 99%

Hybrid renewable energy system based on intelligent optimization techniques

Mercado

Jimenez

Quintero

2016

2016 IEEE International Conference on Renewable Energy Research and Applications (ICRERA)

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Renewable energy aims to generate more ecological and non-pollutant energy and for that, they are essential for sustainable development of the society.Generation with renewable energies must take into account the deficiencies and limitations that arise because of the intermittent capacity of power supply. Hybrid renewable energy systems based on solar and wind resources are the most promising energy generation power systems due to their complementarity to exploit natural resources; however, the installation of a hybrid solar-wind system is dependent of the weather conditions and that makes the dimension of the system complex.An optimal design of the hybrid system to be implemented becomes critical in order to have the best cost-reliability ratio. Applying intelligent optimization techniques makes possible to find an optimal design in a suitable time. The literature shows that the most used optimization technique is genetic algorithms. This master thesis, proposes to use intelligent technologies to optimally size a hybrid renewable energy system using solar and wind power. The proposed approach requires the system configuration, providing or not grid connection, To God for His infinite blessings. To my parents for their unconditional support, motivation and care. To my husband for making this process simpler with his love, patience and human warmth. Special thanks to my advisor Christian G. Quintero M. for his guidance, constant support, impartial corrections and confidence; for encouraging me to continue at all times and give me his friendship.My teachers Luis Torres, Juan Velez, Ingrid Oliveros, Cesar Orozco for allowing me to grow as a master's student. To Jamer Jimenez for his supervision, friendship and care.To my companions for sharing this path full of challenges with me and make it easier and his unconditional help. To my relatives and those whom I did not name, thank you. vi To my God, parents, family and friends vii General Contents Part I: Introduction and Related Work Motivation, objectives, main contributions and an overview of general concepts used in this thesis dissertation. A review of relevant related work used as reference and inspiration to develop the proposed approach. Part II: Proposed Approach General considerations and implementation of the proposed system for sizing hybrid renewable energy systems approach that seeks to provide broad decisions when designing optimal systems with intelligence techniques Part III: Experimental Results and Conclusions Analysis and discussion of the experimental results, conclusions and future research related to hybrid renewable energy systems based on intelligent systems. viii Detailed Contents CHAPTER 1 .

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Section: Review Of Hybrid Solar-wind Systems Sizingmentioning

confidence: 99%

Hybrid renewable energy system based on intelligent optimization techniques

Mercado

Jimenez

Quintero

2016

2016 IEEE International Conference on Renewable Energy Research and Applications (ICRERA)

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“…Saharia et al [10] work on a renewable energy system for electrification of a school; and the system is proved as a stand-alone scheme and as a grid-connected system optimized via HOMER. This work shows that the cost of energy is higher when operating in stand-alone mode.…”

Section: Introductionmentioning

confidence: 99%

HYRES: A Multi-Objective Optimization Tool for Proper Configuration of Renewable Hybrid Energy Systems

et al. 2019

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This paper presents the Hybrid Renewable Energy System (HYRES), a powerful tool to contribute to the viability analysis of energy systems involving renewable generators. HYRES considers various input parameters related to climatic conditions, statistical reliability, and economic views; in addition to offering multi-objective optimizations using Genetic Algorithms (GAs) that have a better cost-benefit ratio than mono-objective optimization, which is the technique used in several commercial systems like HOMER, a worldwide leader in microgrid modeling. The use of intelligent techniques in HYRES allows optimal sizing of hybrid renewable systems with wind and solar energy generators adapted to different conditions and case studies. The elements that affect the system design like buying and selling energy from/to the grid and the use of storage units can be included in system configuration according to the need. Optimization approaches are selectable and include Initial Cost, Life Cycle Cost, Loss of Power Probability, and Loss of Power Supply Probability.

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Optimal cost analysis of off-grid hybrid renewable energy system with PV degradation and electrical load variation using multi-year module and advanced storage module

Ahmed

Fathima²

2017

2017 International Conference on Energy, Communication, Data Analytics and Soft Computing (ICECDS)

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Optimal sizing and cost assesment of hybrid Renewable Energy Systems for Assam Engineering College

Cited by 7 publications

References 17 publications

Hybrid renewable energy system based on intelligent optimization techniques

Hybrid renewable energy system based on intelligent optimization techniques

HYRES: A Multi-Objective Optimization Tool for Proper Configuration of Renewable Hybrid Energy Systems

Optimal cost analysis of off-grid hybrid renewable energy system with PV degradation and electrical load variation using multi-year module and advanced storage module

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