A review on recent standalone and grid integrated hybrid renewable energy systems: System optimization and energy management strategies

Basnet, Suyog; Deschinkel, Karine; Moyne, Luis Le; Péra, Marie

doi:10.1016/j.ref.2023.06.001

Cited by 47 publications

(9 citation statements)

References 145 publications

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“…The research in [22] applies a hybrid methodology combining PSO with the Gravitational Search Algorithm (PSOGSA) to identify the optimal placement of PV and wind systems, aiming to minimize system power losses and operational expenses while enhancing voltage profiles and stability. Comprehensive reviews on optimization of Hybrid Renewable Energy Systems (HRES) [8][9][10][11] present the advantages and disadvantages of the various algorithms over the past decade, highlighting their robustness over a wide spectrum of performance metrics. Despite these advancements, there still remains a gap in the literature for a comprehensive approach that not only integrates advanced computational techniques but presents a clear strategy for policymakers and energy specialists to adopt when considering renewable energy expansion.…”

Section: Previous Researchmentioning

confidence: 99%

An Agile Approach for Adopting Sustainable and Environmentally Friendly Energy Solutions with Advanced Computational Techniques

Konneh,

Howlader,

Elkholy

et al. 2024

Preprint

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In the face of the burgeoning electricity demands and the imperative for sustainable development amidst rapid industrialization, this study introduces a dynamic and adaptable framework suitable for policy-makers and renewable energy experts working on integrating and optimizing renewable energy solutions. While using a case study representative model for Sub-Saharan Africa (SSA) to demonstrate the challenges and opportunities present in introducing optimization methods to bridge power supply deficits and the scalability of the model to other regions, this study presents an agile multi-criteria decision tool that pivots on four key development phases, advancing upon established methodologies and pioneering refined computational techniques, to select optimal configurations from a set of Policy Decision Making Metrics (PDM-DPS). Central to this investigation lies a rigorous comparative analysis of variants of three advanced algorithmic approaches: Swarm-Based Multi-objective Particle Swarm Optimization (MOPSO), Decomposition-Based Multi-objective Evolutionary Algorithm (MOEA/D), and Evolutionary-Based Strength Pareto Evolutionary Algorithm (SPEA2). These are applied to a grid-connected hybrid system, evaluated through a comprehensive 8760-hour simulation over a 20-year planning horizon. The evaluation is further enhanced by a set of refined Algorithm Performance Evaluation Metrics (AL-PEM) tailored to the specific constraints. The findings not only underscore the robustness and consistency of the SPEA2 variant over 15 runs of 200 generations each, which ranks first on the AL-PEM scale but also validate the strategic merit of combining multiple technologies and empowering policymakers with a versatile toolkit for informed decision-making.

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Section: Previous Researchmentioning

confidence: 99%

An Agile Approach for Adopting Sustainable and Environmentally Friendly Energy Solutions with Advanced Computational Techniques

Konneh,

Howlader,

Elkholy

et al. 2024

Preprint

View full text Add to dashboard Cite

show abstract

“…Furthermore, taking advantage of the economic competitiveness of renewable energies over conventional energy sources [1,4], implementing EMSs that maximise the use of renewables leads to a reduction in operating costs [30,37,55]. Consequently, maximising generation and consumption from distributed renewable generation sources in microgrids results in the ability to operate over extended time intervals under a self-consumption regime [56][57][58][59].…”

Section: Introductionmentioning

confidence: 99%

Methodology for Energy Management in a Smart Microgrid Based on the Efficiency of Dispatchable Renewable Generation Sources and Distributed Storage Systems

Izquierdo-Monge,

Peña-Carro,

Hernández-Jiménez

et al. 2024

Applied Sciences

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This paper presents a methodology for energy management in a smart microgrid based on the efficiency of dispatchable generation sources and storage systems, with three different aims: elimination of power peaks; optimisation of the operation and performance of the microgrid; and reduction of energy consumption from the distribution network. The methodology is based on four steps: identification of elements of the microgrid, monitoring of the elements, characterization of the efficiency of the elements, and finally, microgrid energy management. A specific use case is shown at CEDER-CIEMAT (Centro para el Desarrollo de las Energías Renovables—Centro de Investi-gaciones Energéticas, Medioambientales y Tecnológicas), where consumption has been reduced during high tariff periods and power peaks have been eliminated, allowing an annual reduction of more than 25,000 kWh per year, which is equal to savings of more than 8500 €. It also allows the power contracted from the distribution company by CEDER (135 kW) not to be exceeded, which avoids penalties in the electricity bill.

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“…Hydrogen energy has the potential to be integrated into IES alongside energy storage systems (ESS) and electric vehicles (EVs) as a storage solution. Such integration has the potential to significantly enhance the reliability, cost-effectiveness, and reduce carbon emissions of the IES [ [3], [4]]. Moreover, existing carbon emission studies primarily focus on the carbon emissions generated by equipment such as gas turbines (GT) and gas boilers (GB), while overlooking the carbon emissions produced by renewable energy generation and hydrogen energy storage systems (HESS) throughout their entire lifecycle [5].…”

Section: Introduction a Motivationsmentioning

confidence: 99%

Coordinated Planning of Electricity-Hydrogen Integrated Energy System Considering Lifecycle Carbon Emissions

Bian,

Zhou,

Guo

et al. 2024

IEEE Access

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Hydrogen energy is a promising solution to reaching carbon emissions peak and carbon neutrality. With the development of hydrogen energy devices, coupling hydrogen energy with renewable energy for power generation can compensate for the intermittency and instability of renewable energy. Furthermore, the two-stage coordinated planning of integrated energy system (IES) and electricity-hydrogen integrated energy system (EHIES), compared to independent planning, can help generate additional benefits and reduce carbon emissions. Therefore, this paper proposes a coordinated planning of EHIES considering lifecycle carbon emissions. In the first stage, aiming to minimize investment costs, network losses, voltage deviations, and lifecycle carbon emissions, the equipment capacity and location of EHIES is determined. The life cycle assessment (LCA) method is used to quantify the lifecycle carbon emissions of the EHIES, preparing for the coordinated operation in the second stage. Subsequently, in the second stage, using carbon emissions flow to allocate users' responsibility for emissions, the carbon emissions per unit electricity of the IES system are calculated. With the optimal cost of independent operation for IES and EHIES as the coordinated operation objective, the alternating direction method of multipliers (ADMM) is employed for sequential solution, obtaining the carbon emissions reduction amount, and iteratively updating until convergence. Finally, the effectiveness of the proposed method is verified by using the IEEE 33-bus power distribution network (PDN) and natural gas 6 node systems. The results show that compared to independent planning, the two-stage coordinated planning method reduces the overall operating cost of IES by 3.81% and decreases carbon emissions by 15.89%. This method is effective in reducing the carbon emissions of IES. INDEX TERMSADMM, Two-stage coordinated planning model, Electricity-Hydrogen Integrated Energy System, Lifecycle carbon emissions NOMENCLATURE ACRONYMS ADMM Alternating direction method of multipliers DES Distributed energy system EHIES Electricity-hydrogen integrated energy system ESS Electric storage systems EV Electric vehicles FC Fuel cells FCS Fast-charging station

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A review on recent standalone and grid integrated hybrid renewable energy systems: System optimization and energy management strategies

Cited by 47 publications

References 145 publications

An Agile Approach for Adopting Sustainable and Environmentally Friendly Energy Solutions with Advanced Computational Techniques

An Agile Approach for Adopting Sustainable and Environmentally Friendly Energy Solutions with Advanced Computational Techniques

Methodology for Energy Management in a Smart Microgrid Based on the Efficiency of Dispatchable Renewable Generation Sources and Distributed Storage Systems

Coordinated Planning of Electricity-Hydrogen Integrated Energy System Considering Lifecycle Carbon Emissions

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