Exploring the Cutting-Edge of Energy Aggregation Approaches and Business Models

Bwalya, Danny; Azevedo, Manuel; Corchado, Emilio S.

doi:10.1007/978-3-031-38318-2_50

Cited by 2 publications

(1 citation statement)

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The global evolution of the Internet is experiencing a notable and inevitable change towards a convergent scenario known as the Internet of Things (IoT), where a large number of devices with heterogeneous characteristics and requirements have to be interconnected to serve different verticals, such as smart cities, intelligent transportation systems, smart grids, (ITS) or e-health [ 1 , 2 , 3 , 4 , 5 , 6 ]. In order to satisfy the strict requirements related to end-to-end latency and the scalability of new services, as well as the processing of the massive volume of data that they generate, it is necessary to design and deploy a decentralized service platform architecture based on MEC (multi-access edge computing) and/or fog computing, with the aim of reducing the distance between the source of data and the processing resources.…”

Section: Introductionmentioning

confidence: 99%

Emerging Technologies in Edge Computing and Networking

Prieto,

Durán Barroso

2024

Sensors

View full text Add to dashboard Cite

show abstract

Section: Introductionmentioning

confidence: 99%

Emerging Technologies in Edge Computing and Networking

Prieto,

Durán Barroso

2024

Sensors

View full text Add to dashboard Cite

show abstract

Developing a three stage coordinated approach to enhance efficiency and reliability of virtual power plants

Amissah,

Abdel-Rahim,

Mansour

et al. 2024

Sci Rep

View full text Add to dashboard Cite

A Virtual Power Plant (VPP) is a centralized energy system that manages, and coordinates distributed energy resources, integrating them into a unified entity. While the physical assets may be dispersed across various locations, the VPP integrates them into a virtual unified entity capable of responding to grid demands and market signals. This paper presents a tri-level hierarchical coordinated operational framework of VPP. Firstly, an Improved Pelican Optimization Algorithm (IPOA) is introduced to optimally schedule Distributed Energy Resources (DERs) within the VPP, resulting in a significant reduction in generation costs. Comparative analysis against conventional algorithms such as Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) demonstrates IPOA's superior performance, achieving an average reduction of 8.5% in generation costs across various case studies. The second stage focuses on securing the optimized generation data from rising cyber threats, employing the capabilities of machine learning, preferably, a convolutional autoencoder to learn the normal patterns of the optimized data to detect deviations from the optimized generation data to prevent suboptimal decisions. The model exhibits exceptional performance in detecting manipulated data, with a False Positive Rate (FPR) of 1.92% and a Detection Accuracy (DA) of 98.06%, outperforming traditional detection techniques. Lastly, the paper delves into the dynamic nature of the day ahead market that the VPP participates in. In responding to the grid by selling its optimized generated power via the day-ahead market, the VPP employs the Prophet model, another machine learning technique to forecast the spot market price for the day-ahead to mitigate the adverse effects of price volatility. By utilizing Prophet forecasts, the VPP achieves an average revenue increase of 15.3% compared to scenarios without price prediction, emphasizing the critical role of predictive analytics in optimizing economic gains. This tri-level coordinated approach adopted addresses key challenges in the energy sector, facilitating progress towards achieving universal access to clean and affordable energy.

show abstract

Exploring the Cutting-Edge of Energy Aggregation Approaches and Business Models

Cited by 2 publications

References 18 publications

Emerging Technologies in Edge Computing and Networking

Emerging Technologies in Edge Computing and Networking

Developing a three stage coordinated approach to enhance efficiency and reliability of virtual power plants

Contact Info

Product

Resources

About