Article
Engineering, Multidisciplinary
Yuechuan Tao, Jing Qiu, Shuying Lai, Yunqi Wang, Xianzhuo Sun
Summary: In this paper, a non-intrusive load monitoring (NILM) based framework for the operation strategy of micro-grids is presented. The NILM technologies enable the disaggregation of power from HVAC units, allowing for the study of appliance operation and consumer behavior without detailed data. An advanced NILM algorithm utilizing Coupled Generative Adversarial Networks (C-GAN) is proposed, along with a method based on Hidden Markov Model (HMM) to evaluate reserve capacity. Simulation results show that with NILM, the market operator can save costs and earn more revenues in the joint market.
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS
(2023)
Article
Computer Science, Information Systems
Haomiao Yang, Shaopeng Liang, Xizhao Luo, Dianhua Tang, Hongwei Li, Xuemin Shen
Summary: This article proposes a secure K-means clustering scheme called PIPC, which aims to protect the privacy and integrity of load profiling. By using techniques such as encrypted distance measurement and integrity assurance, PIPC successfully protects the privacy of smart-meter data and maintains the integrity of outsourced clustering.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Article
Computer Science, Information Systems
Vinicius Gadelha, Andreas Sumper, Eduard Bullich-Massague, Monica Aragues-Penalba
Summary: This paper explores the application of a power electronic device called the power router to an electrical grid. It defines the concept and conditions for interconnection of the power router grid, proposes a mathematical modelling methodology, and analyzes its operational requirements and flexibility. Two case studies are presented to demonstrate the practical application of the power router grid.
Review
Environmental Studies
Harrison Hampton, Aoife Foley, Dylan Furszyfer Del Rio, Beatrice Smyth, David Laverty, Brian Caulfield
Summary: This study reviews and summarizes the customer engagement trends in retail electricity markets, and proposes the policy recommendation of integrating market mechanisms and technology to ensure the operation of retail electricity markets and achieve a carbon-neutral society. The study also suggests future research directions to promote customer engagement in retail electricity market design.
ENERGY RESEARCH & SOCIAL SCIENCE
(2022)
Article
Green & Sustainable Science & Technology
Felipe Gonzalez Venegas, Marc Petit, Yannick Perez
Summary: This study examined the challenges and opportunities of integrating EVs into distribution grids, highlighting key technical and economic issues while addressing the impact of the lack of regulatory frameworks on flexibility value assessment.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2021)
Article
Engineering, Electrical & Electronic
Meng Zhang, Xuzhen Fan, Rongxing Lu, Chao Shen, Xiaohong Guan
Summary: This paper investigates the application of moving target defense (MTD) in AC state estimation, proposing an extended MTD (EMTD) approach and analyzing its impact on the electricity market. Extensive simulations on the standard IEEE test system are conducted to validate the effectiveness of the proposed approach.
IEEE TRANSACTIONS ON SMART GRID
(2023)
Article
Engineering, Electrical & Electronic
Ahmad Attarha, Paul Scott, Jose Iria, Sylvie Thiebaux
Summary: This study proposes a price-elastic aggregator bidding approach combined with a network conforming layer to overcome issues such as inflexible bidding and bids not conforming to the network boundaries. By decomposing the problem into aggregator and network subproblems and enabling aggregators to provide reactive power support, the feasibility of the network is ensured and disruption to existing wholesale market structures is minimized. The results show a 19% increase in benefits for aggregators compared to the inflexible bidding approach.
IEEE TRANSACTIONS ON SMART GRID
(2021)
Article
Automation & Control Systems
Xiaohan Hao, Wei Ren, Kim-Kwang Raymond Choo, Naixue Xiong
Summary: “The increasing volume of user and household data and number of smart meters pose challenges to ensuring efficiency and privacy protection in electricity trading. This article introduces a new architecture for smart meters, utilizing blockchain-based wallets for transactions and smart contracts for transmission switch instructions. The proposed scheme includes a decentralized peer-to-peer electricity trading scheme and a blockchain-based anonymous authentication scheme to achieve automated electricity transmission and privacy protection.”
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2022)
Article
Thermodynamics
H. Terfa, L. Baghli, R. Bhandari
Summary: This research proposes using distributed renewable energy micro-power plants to provide electricity in African countries. The laboratory is developing four types of micro-power plants, including wind turbine emulators and photovoltaic systems. The data flow between the micro-power plants and the simulated power grid is ensured through the use of embedded processors and a Firebase database.
Article
Computer Science, Information Systems
Loau Al-Bahrani, Mehdi Seyedmahmoudian, Ben Horan, Alex Stojcevski
Summary: The study uses a new method to model electricity demand in residential neighborhoods in Baghdad, optimizing the number of residential dwellings connected to the same low-voltage 0.415 kV distribution feeder to increase the feeder's capacity. The results show that each feeder can accommodate 50 dwellings instead of 30, providing valuable technical references for Iraqi electrical design engineers to update the connection grids of low-voltage 0.415 kV distribution feeders in Baghdad City for economic benefits.
Article
Computer Science, Information Systems
Mohammed J. Abdulaal, Mohamed I. Ibrahem, Mohamed M. E. A. Mahmoud, Junaid Khalid, Abdulah Jeza Aljohani, Ahmad H. Milyani, Abdullah M. Abusorrah
Summary: In advanced metering infrastructure, smart meters are used to transmit electricity consumption readings to the system operator for billing and load monitoring. However, fraudulent consumers can compromise their meters to launch cyberattacks by reporting false readings. Current solutions focus on billing security and do not detect attacks in real time. This paper proposes a deep-learning detector that can detect false readings in real time, improving the efficiency of load monitoring and preventing financial losses.
Article
Energy & Fuels
Marthe Fogstad Dynge, Pedro Crespo del Granado, Naser Hashemipour, Magnus Korpas
Summary: This study analyzes a local electricity market in a real-life neighborhood of 52 households in Norway, finding that P2P trading has no significant impact on grid operation when only PVs are installed, but causes increased voltage fluctuations and 14% more losses when decentralized batteries are available. The local market brings overall savings for end-users and provides a framework for designing pricing schemes to support DSO operations.
Article
Computer Science, Information Systems
Rini Handayani, Anak Agung Gde Agung
Summary: The concept of a smart grid has been proposed to ensure efficient distribution of electricity and secure transactions. This paper suggests using blockchain technology to manage transactions in the smart grid, providing security and immutability.
JOURNAL OF KING SAUD UNIVERSITY-COMPUTER AND INFORMATION SCIENCES
(2022)
Article
Engineering, Electrical & Electronic
Zhongzong Yan, He Wen
Summary: This article provides a general overview of the progress in electricity theft detection, including threat models, datasets and input features adopted, methodologies and techniques, and evaluation metrics. Performance comparison for each detection method is also made, and challenges and future research directions are discussed.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2022)
Article
Engineering, Multidisciplinary
Mehmet Gucyetmez, Husham Sakeen Farhan
Summary: The traditional electricity grid needs to be transformed into a smart grid infrastructure to address the increasing electricity demand and energy prices. Smart meters play a vital role in this transformation by enabling consumers to track their energy consumption and receive warnings. The developed Internet of Things (IoT) based smart meter has features like high data rate, bidirectional data transmission, and integration with fuzzy system and mobile application software.
ALEXANDRIA ENGINEERING JOURNAL
(2023)
