Off-grid full renewable hybrid systems: Control strategies, optimization, and modeling

Dufo-López, Rodolfo

doi:10.1016/b978-0-12-823793-9.00009-7

Cited by 4 publications

(6 citation statements)

References 55 publications

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“…PSO (Particle Swarm Optimization) or GA (Genetic Algorithm) are commonly used metaheuristics (eg, References 22,115,116*). Examples of tools are: Energy Pro 117 *, HOMER, 135 iHOGA 48 and Odyssey 49 . The two last include their own master investment optimization algorithm.…”

Section: Survey Of Optimization Methods For Energy System Planningmentioning

confidence: 99%

“…As a consequence, simulation models are sometimes used as black boxes (so called “slave models”) along with metaheuristics to optimize the system design and sometimes the system evolution (as in Reference 47). Such metaheuristics optimization algorithms can also directly be included in the energy planning tool as the iHOGA tool 48 or the Odyssey tool 49 . Hence, a step further is to optimize investment decisions.…”

Section: The Analysis Frameworkmentioning

confidence: 99%

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Techno‐economic planning of local energy systems through optimization models: a survey of current methods

Cuisinier

Bourasseau

Ruby

et al. 2020

Intl J of Energy Research

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Summary Energy system planning is a difficult task, since it involves long‐term decision‐makings with multiple dimensions: technical, economic, social, ecological, and political. The rise of distributed and multi‐energy systems including new technologies has further increased this complexity. Techno‐economic studies based on optimization models have recently received much attention in the literature. They are essential to grasp energy systems complexity and provide decision support. This work targets methodological issues related to local systems while comparing them with methods used at larger scales. First, a new framework providing a comprehensive vision of added values and limits of optimization models is presented. Then, the main methodological trends as well as several undertaken research paths are identified based on the analysis of more than 60 research papers. The review results are summarized in a complete and concise table. Finally, future research topics are discussed including the operational facets of investment optimization models in case of high intermittent energy shares, flexibility issues and long‐term operational decisions. The results provide useful information to modellers or researchers that look for appropriate and state‐of‐the‐art optimization methods, or aim to deepen current research paths. Hence, they will facilitate the planning and development of energy systems for the future.

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Section: Survey Of Optimization Methods For Energy System Planningmentioning

confidence: 99%

Section: The Analysis Frameworkmentioning

confidence: 99%

Techno‐economic planning of local energy systems through optimization models: a survey of current methods

Cuisinier

Bourasseau

Ruby

et al. 2020

Intl J of Energy Research

View full text Add to dashboard Cite

show abstract

“…The simulation and optimization of the system will be performed by MHOGA software (MegaWatt Hybrid Optimization by Genetic Algorithms) [5].…”

Section: Fig 1 Pv-h2 Systemmentioning

confidence: 99%

Utility-scale renewable hydrogen generation by wind turbines

Dufo-López¹,

Lujano-Rojas²,

Bernal-Agustín³

et al. 2023

RE&PQJ

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In this paper, we use MHOGA software for the evaluation of a hydrogen generation system powered by wind turbines. We study the state of the art of the electrolyzers, obtaining the most important characteristics and costs of PEM electrolyzers. The optimization of a Wind-H2 system is performed, obtaining the best combination of components (wind turbines and electrolyzer) and control strategy for the hydrogen production. We will compare to the Wind-only system (wind farm which injects all the electricity produced to the gird). Two cases have been evaluated regarding the electricity price: Spanish SPOT price of 2019 and of 2021, with an expected increase of 1% annual. The Wind-H2 system can be competitive to the Wind-only system if the hydrogen sale price is 4.8 €/kg for the case of 2019 SPOT prices and 6.7 €/kg for the case of 2021 SPOT prices, considering 1% annual increase in the SPOT prices and 2% for the hydrogen price.

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“…The simulation and optimization of the system will be performed by MHOGA software (MegaWatt Hybrid Optimization by Genetic Algorithms) [4].…”

Section: Fig 1 Pv-plus-battery Systemmentioning

confidence: 99%

Electricity price arbitrage in utility-scale PV-plus-battery systems

Dufo-López¹,

Lujano-Rojas²,

Bernal-Agustín³

et al. 2023

RE&PQJ

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In this paper, we use MHOGA software for the optimization of an AC-coupled utility-scale PV-plus-battery system. Batteries are used for price arbitrage, being charged with the photovoltaic (PV) generation during hours of low electricity price and discharged during hours of high price. The correct estimation of the battery lifetime has great importance in the calculation of the net present value, to do this advanced models for estimating the Li-ion battery lifetime (considering cycle and calendar ageing) are used. With present components costs, considering the Spanish SPOT price of 2021 with an expected increase of 1% annual, the AC coupled utility-scale PV-plusbattery isn’t economically viable comparing to the PV-only system. If electricity hourly price was multiplied by two, in certain cases adding battery to the PV system would be profitable.

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Off-grid full renewable hybrid systems: Control strategies, optimization, and modeling

Cited by 4 publications

References 55 publications

Techno‐economic planning of local energy systems through optimization models: a survey of current methods

Techno‐economic planning of local energy systems through optimization models: a survey of current methods

Utility-scale renewable hydrogen generation by wind turbines

Electricity price arbitrage in utility-scale PV-plus-battery systems

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