Optimal multi-objective sizing of a residential microgrid in Egypt with different ToU demand response percentages

Gamil, Mahmoud M.; Senjyu, Tomonobu; Takahashi, Hiroshi; Hemeida, Ashraf Mohamed; Kumarappan, N.; Lotfy, Mohammed Elsayed

doi:10.1016/j.scs.2021.103293

Cited by 31 publications

(11 citation statements)

References 55 publications

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“…The PV-generated power can be computed using Eq. ( 1 ) 30 . where is the number of PV modules, is the PV power rating at STC (kW), is the PV module reduction factor, and is the global solar irradiance (W/m 2 ).…”

Section: Modeling and Configuration Of System Componentsmentioning

confidence: 99%

A comparative study of advanced evolutionary algorithms for optimizing microgrid performance under dynamic pricing conditions

Elazab,

Abdelnaby,

Ali

2024

Sci Rep

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The integration of microgrids into the existing power system framework enhances the reliability and efficiency of the utility grid. This manuscript presents an innovative mathematical paradigm designed for the optimization of both the structural and operational aspects of a grid-connected microgrid, leveraging the principles of Demand-Side Management (DSM). The focus of this work lies in a comprehensive exploration of the implications brought about by the Renewable Generation-Based Dynamic Pricing Demand Response (RGDP-DR) mechanism, particularly in terms of its influence on the optimal microgrid configuration, considering perspectives from end-users and the utility entity. This inquiry is rooted in a holistic assessment that encompasses technical and economic performance benchmarks. The RGDP-induced DR framework adeptly addresses the needs of the consumer base, showcasing notable efficiency and economic feasibility. To address the intricate nonlinear optimization challenge at hand, we employ an evolutionary algorithm named the "Dandelion Algorithm" (DA). A rigorous comparative study is conducted to evaluate the efficacy of four optimization techniques, affirming the supremacy of the proposed DA. Within this discourse, the complexity of microgrid sizing is cast as a dual-objective optimization task. The twin objectives involve minimizing the aggregate annual outlay and reducing emissions. The results of this endeavor unequivocally endorse the superiority of the DA over its counterparts. The DA demonstrates exceptional proficiency in orchestrating the most cost-effective microgrid and consumer invoice, surpassing the performance of alternative optimization methodologies.

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Section: Modeling and Configuration Of System Componentsmentioning

confidence: 99%

A comparative study of advanced evolutionary algorithms for optimizing microgrid performance under dynamic pricing conditions

Elazab,

Abdelnaby,

Ali

2024

Sci Rep

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“…The GA was used to reduce the overall energy cost. For rural electrification, Gamil et al, 28 presented a hybrid energy model for the electrification of the rural community of the north Egyptian city. The system consists of BM/SPV and wind for the system modeling.…”

Section: Literature Reviewmentioning

confidence: 99%

Planning and optimization of standalone microgrid with renewable resources and energy storage

2022

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Renewable energy has shown to be a feasible and cost‐effective approach to electrifying rural villages while also meeting the region's long‐term development goals. Due to the intermittent and unpredictable nature of renewable energy supply and the need to satisfy variable demand across time, capacity planning for a sustainable energy system is problematic. Because the energy planning problem is non‐linear and non‐convex, an efficient technique must be used to build a cost‐effective energy system that supplies reliable electricity to the area. In the present work, a rural microgrid is suggested for the isolated community of the Indian hilly region. The integrated model combines existing energy resources in the area. The microgrid consists of the solar photovoltaic system, micro‐hydropower, wind energy biomass, and storage foreconomical and reliable electrification. The modeling of microgrids is based on the availability of renewable resources. Using the Differential Evolution optimization algorithm, the recommended hybrid energy model examined the per‐unit cost of energy and the overall operating cost. Based on the simulation for a year, it has been found that the optimal system has 35 kWof biomass, 30 kW of biogas, 40 kW of MHP, 144 kW of SPV, and 42 kW of the wind energy system to satisfy the energy demand of the area entirely. The per‐unit cost of energy is 0.12$/kWh, and the total operating cost is $ $2 120 700, respectively. Further, the sensitivity analysis is performed to know the impact of change in parameters on energy cost. The suggested microgrid provides a cost‐effective solution to the community.

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“…Techno‐economic performance of varying sizing of a residential microgrid in Egypt with different ToU demand response based on load shifting algorithms is carried out in Ref. 28.…”

Section: Introductionmentioning

confidence: 99%

Feasibility of integrated solar photovoltaic pico‐pumped storage self‐sustained system for multi‐storey building in India

Balachandran,

Ponnusamy

2024

Energy Storage

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This study explores the potential of utilizing a pico‐pumped storage system (PPSH) as an energy storage solution to enhance the integration of renewable energy sources in a multi‐story building. The study seeks to evaluate the system's ability to fulfil the energy requirements of a part of a multi‐storey building, considering factors such as cost‐effectiveness, longevity, and environmental impact. Basic relationships are used to model both floating solar PV systems and pumped storage systems in MATLAB. An algorithm based on linear programming is used to generate the optimal schedule, while a particle swarm optimization‐based algorithm is employed for the optimal design of the proposed system. In order to analyze the economic feasibility, the levelized cost of solar energy and the levelized cost of stored energy are estimated. An optimally sized floating solar PV integrated pico pumped storage system with an optimal operating strategy can perform technically. However, due to practical limitations, the system's dimensions cannot accommodate real‐world storage requirements. When levelized costs are considered, a pico‐pumped storage system becomes less appealing than battery storage systems, particularly if a new storage tank is to be constructed. Compared to battery storage systems, pumped storage systems have a lower energy density, which requires more space and height, especially in buildings. Pumped storage systems, on the other hand, have a longer lifespan and a lower environmental impact. Overall, the proposed system, along with an optimal scheduling algorithm, provides a long‐term solution for energy storage, aligning with the growing global emphasis on lowering carbon emissions and embracing renewable energy sources. Although there may be a high initial investment requirement and a restricted storage capacity, the sustained advantages of energy independence and a diminished carbon footprint render it an appealing option for environmentally conscious communities and green buildings.

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Optimal multi-objective sizing of a residential microgrid in Egypt with different ToU demand response percentages

Cited by 31 publications

References 55 publications

A comparative study of advanced evolutionary algorithms for optimizing microgrid performance under dynamic pricing conditions

A comparative study of advanced evolutionary algorithms for optimizing microgrid performance under dynamic pricing conditions

Planning and optimization of standalone microgrid with renewable resources and energy storage

Feasibility of integrated solar photovoltaic pico‐pumped storage self‐sustained system for multi‐storey building in India

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