A medium-term analysis of the reduction in technical losses on distribution systems with variable demand using artificial neural networks: An Electrical Energy Storage approach

Monteiro, Raul Vitor Arantes; Guimarães, Geraldo Caixeta; Silva, Fernando Bento; Teixeira, Raoni Florentino da Silva; Carvalho, Bismarck Castillo; Finazzi, Antônio de Pádua; Vasconcellos, Arnulfo Barroso de

doi:10.1016/j.energy.2018.09.021

Cited by 7 publications

(2 citation statements)

References 30 publications

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“…These losses, arising from conductor resistance, transformer inefficiencies, and voltage drops, contribute to energy wastage, reduced system efficiency, and increased operational costs. Effective modeling of technical losses is essential for optimizing grid performance, enhancing energy efficiency, and ensuring the reliability of the electricity supply [19,20]. This literature review explores various modeling techniques employed to quantify and mitigate electric grid technical losses, encompassing both traditional and advanced approaches.…”

Section: Literature Reviewmentioning

confidence: 99%

Efficient Modeling of Distributed Energy Resources’ Impact on Electric Grid Technical Losses: A Dynamic Regression Approach

Aoun,

Adda,

Ilinca

et al. 2024

Energies

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Technical losses in electrical grids are inherent inefficiencies induced by the transmission and distribution of electricity, resulting in energy losses that can reach up to 40% of the generated energy. These losses pose significant challenges to grid operators regarding energy sustainability, reliability, and economic viability. Distributed Energy Resources (DERs) offer promising solutions to lower technical losses by decentralizing energy generation and consumption, reducing the need for long-distance transmission and optimizing grid operation. Hence, estimating the impact of DERs on grid technical losses becomes paramount for grid operators and planners. In response, this article proposes the application of regression modeling and nonlinear curve fitting algorithms to provide a more nuanced understanding and better characterize the intricate interplay between DER deployment and technical losses. Through a comprehensive case study based on more than 1080 computer simulations, we demonstrate the effectiveness of our proposed dynamic polynomial varying coefficient regression model in estimating the impact of DERs on technical losses within electrical grids. The proposed model offers a simple and effective methodology that allows grid operators to gain insights into the nonlinear dynamics of DER integration and make quicker and more informed decisions regarding grid management strategies, infrastructure investments, and policy interventions. Also, this research contributes to advancing the field of grid optimization by offering a simple equation that enhances our ability and haste to assess and mitigate technical losses in the context of an evolving energy landscape characterized by increasing DER adoption.

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Section: Literature Reviewmentioning

confidence: 99%

Efficient Modeling of Distributed Energy Resources’ Impact on Electric Grid Technical Losses: A Dynamic Regression Approach

Aoun,

Adda,

Ilinca

et al. 2024

Energies

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“…Technological transformation and improvement of the management level of the power generation side can reduce the power loss and improve the economic benefits of the power generation enterprise. Reference [12] shows that the level of demand side management is related to power system loss as well. By strengthening the demand side load management and improving the power usage effectiveness of terminal loads, the power loss can be reduced.…”

Section: Introductionmentioning

confidence: 99%

Carbon Market Trading Mechanisms Considering Multi-Layer Reactive Power Compensation

An,

Jin,

Zhou

et al. 2023

WEVJ

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In the context of achieving carbon peaking and carbon neutrality goals, focusing on coordinated efficiency in loss and carbon reduction, and promoting comprehensive green transformation of economic and social development are critical strategies. Line loss is an economic and technical indicator for measuring losses in a power system, and loss reduction is one of the important ways to achieve the carbon peaking and carbon neutrality goals in the power system. However, with the continuous increase in the power grid scale and the increasingly complex operation mode of the system, it is difficult to clearly quantify the carbon reduction benefits brought by system loss reduction. In order to synergize grid loss reduction and system carbon reduction, and generate economic and environmental benefits at the same time, this paper proposes a carbon market trading model that considers multi-layer reactive power compensation strategies. Based on the carbon emission flow model, a node carbon cost pricing is formed, and multi-layer reactive power compensation measures are set in the distribution network nodes to obtain an optimal loss reduction strategy, with the carbon market trading cost minimization as the objective. The effectiveness of the model is verified by simulating and analyzing four scenarios. Compared with the original system that does not consider carbon trading and reactive compensation, the model proposed in this paper can reduce losses by 20% and reduce carbon emissions by 5.7%. This paper is of great value for reactive power loss reduction management in distribution networks of a low-carbon background.

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Techno-economic optimal operation of the electrical distribution grid considering smart energy consumption by consumers

Montaghami,

Rezvani,

Yousefi

et al. 2023

Electr Eng

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A medium-term analysis of the reduction in technical losses on distribution systems with variable demand using artificial neural networks: An Electrical Energy Storage approach

Cited by 7 publications

References 30 publications

Efficient Modeling of Distributed Energy Resources’ Impact on Electric Grid Technical Losses: A Dynamic Regression Approach

Efficient Modeling of Distributed Energy Resources’ Impact on Electric Grid Technical Losses: A Dynamic Regression Approach

Carbon Market Trading Mechanisms Considering Multi-Layer Reactive Power Compensation

Techno-economic optimal operation of the electrical distribution grid considering smart energy consumption by consumers

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