Optimized power flow control for PV with hybrid energy storage system HESS in low voltage DC microgrid

Al-Khayyat, Ali Salam; Hameed, Mustafa Jameel; Ridha, Amel Ahmed

doi:10.1016/j.prime.2023.100388

Cited by 2 publications

(2 citation statements)

References 24 publications

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“…On the other hand, certain research studies [22][23][24][25][26] concentrate on optimal power assignment, aiming to enhance the overall efficiency of electrical systems incorporating ESSs. In [22], a power-flow distribution strategy is proposed for a utility-scale second-life ESS, with the goal of increasing energy system efficiency by minimizing the operational time and energy loss of the ESS.…”

Section: Related Workmentioning

confidence: 99%

“…The results verify the effectiveness of the algorithm compared with the baseline method. The authors in [26] presented control strategies for power-flow control between fluctuating PVs and ESSs to ensure stable energy delivery to loads considering battery degradation and system reliability. The results demonstrate the efficiency of the proposed control scheme in managing battery operation.…”

Section: Related Workmentioning

confidence: 99%

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Incorporating a Load-Shifting Algorithm for Optimal Energy Storage Capacity Design in Smart Homes

Khwanrit,

Lim,

Javaid

et al. 2024

Designs

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In today’s power system landscape, renewable energy (RE) resources play a pivotal role, particularly within the residential sector. Despite the significance of these resources, the intermittent nature of RE resources, influenced by variable weather conditions, poses challenges to their reliability as energy resources. Addressing this challenge, the integration of an energy storage system (ESS) emerges as a viable solution, enabling the storage of surplus energy during peak-generation periods and subsequent release during shortages. One of the great challenges of ESSs is how to design ESSs efficiently. This paper focuses on a distributed power-flow system within a smart home environment, comprising uncontrollable power generators, uncontrollable loads, and multiple energy storage units. To address the challenge of minimizing energy loss in ESSs, this paper proposes a novel approach, called energy-efficient storage capacity with loss reduction (SCALE) scheme, that combines multiple-load power-flow assignment with a load-shifting algorithm to minimize energy loss and determine the optimal energy storage capacity. The optimization problem for optimal energy storage capacity is formalized using linear programming techniques. To validate the proposed scheme, real experimental data from a smart home environment during winter and summer seasons are employed. The results demonstrate the efficacy of the proposed algorithm in significantly reducing energy loss, particularly under winter conditions, and determining optimal energy storage capacity, with reductions of up to 11.4% in energy loss and up to 62.1% in optimal energy storage capacity.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Incorporating a Load-Shifting Algorithm for Optimal Energy Storage Capacity Design in Smart Homes

Khwanrit,

Lim,

Javaid

et al. 2024

Designs

View full text Add to dashboard Cite

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Performance evaluation of sustainable energy alternatives to obtain efficient hybrid energy investments

Dinçer,

Yüksel,

Hacioğlu

et al. 2024

TEDE

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This study evaluates the synergy of coalition for hybrid renewable energy (RWB) system alternatives. In this context, the alternative sources of hybrid RWB system are examined to illustrate the impact-relation directions among them with multi SWARA based on q-ROFs and golden cut. Next, the performances of renewable alternatives are measured in terms of the synergy of coalition with game theory and Shapley value. It is concluded that solar energy is the most suitable RWB alternative for synergy to increase efficiency in investments. However, biomass does not have a significant influence on providing synergy in energy investments. Therefore, solar energy should be prioritized for hybrid energy investments. Especially with the effect of technological developments, the efficiency of solar energy investments increases significantly. Thus, solar energy investments have become quite suitable for increasing the synergy in hybrid energy projects. Furthermore, necessary research should be conducted to make biomass energy more efficient.

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Optimized power flow control for PV with hybrid energy storage system HESS in low voltage DC microgrid

Cited by 2 publications

References 24 publications

Incorporating a Load-Shifting Algorithm for Optimal Energy Storage Capacity Design in Smart Homes

Incorporating a Load-Shifting Algorithm for Optimal Energy Storage Capacity Design in Smart Homes

Performance evaluation of sustainable energy alternatives to obtain efficient hybrid energy investments

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