Article
Engineering, Electrical & Electronic
Mohsen Reiszadeh, Hamed Narimani, Mohammad Sadegh Fazel
Summary: This paper proposes a new method to speed up the convergence of Autonomous Demand Side Management (ADSM) algorithms and reduce the volume of computations by solving a primal problem and decomposing it for each consumer to solve in parallel. The algorithm avoids peak shifting and shows significant improvement in convergence rate and computation volume compared to existing algorithms.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2023)
Review
Green & Sustainable Science & Technology
Khaled Abedrabboh, Luluwah Al-Fagih
Summary: The intermittent nature of renewable energy resources presents challenges for the operation and control of the electricity grid. Market-based demand-side management (DSM) has gained attention for its ability to maintain supply-demand balance while considering customer preferences. Mechanism design theory has been used in market-based DSM approaches.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2023)
Article
Energy & Fuels
Muhandiram Arachchige Subodha Tharangi Ireshika, Klaus Rheinberger, Ruben Lliuyacc-Blas, Mohan Lal Kolhe, Markus Preissinger, Peter Kepplinger
Summary: This study investigates the problem of power peaks during electric vehicle charging and proposes a hierarchical autonomous demand side management algorithm to address this issue. Experimental results show that this algorithm has the potential to eliminate additional peak demands induced by electric vehicle charging and is suitable for practical deployment.
JOURNAL OF ENERGY STORAGE
(2022)
Article
Environmental Sciences
Maedeh Kharaji Manouchehrabadi, Saeed Yaghoubi
Summary: This study investigates the effects of supply-side and demand-side policies on supporting the members of the solar cell supply chain and encouraging customers to increase the use of solar panels. It also explores the best policy for improving and promoting the supply chain.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Energy & Fuels
Emilio J. Palacios-Garcia, Xavier Carpent, Joppe W. Bos, Geert Deconinck
Summary: Residential demand side management (DMS) is an effective tool for maintaining network balance, but privacy concerns related to user personal consumption data have hindered its widespread adoption. This paper proposes a privacy-preserving aggregation algorithm based on additive random shares and a combination of symmetric and asymmetric key cryptography methods. The algorithm is compared with other techniques such as additive homomorphic encryption (AHE) and state-of-the-art MPC protocols. The results show that while generic techniques like homomorphic encryption are computationally expensive, MPC approaches provide better performance and resilience for large networks. The proposed additive random shares algorithm is considered the most balanced choice for DSM, offering good performance, simpler information flow, and the ability to add redundant intermediary parties for enhanced resilience.
Article
Energy & Fuels
Edstan Fernandez, M. J. Hossain, S. M. Nawazish Ali, Vivek Sharma
Summary: This paper proposes a game-theoretic model for community energy management that promotes energy trading among community members. Consumers and vendors are classified within the community, with roles interchangeable based on power consumption profiles. An evolutionary game is used to model consumer dynamics in selecting vendors, with vendors setting competitive prices to attract consumers. The model is tested in a community in Sydney and shows cost savings for consumers and profits for vendors. The results demonstrate the effectiveness of energy trading within a community for financial gains and energy conservation, especially if combined with demand response strategies and storage systems.
SUSTAINABLE ENERGY GRIDS & NETWORKS
(2023)
Article
Engineering, Electrical & Electronic
Yi Ding, Dunjian Xie, Hongxun Hui, Yan Xu, Pierluigi Siano
Summary: This paper proposes a game-theoretic demand-side management (DSM) model that optimizes the global power consumption schedule by individual TCL user's optimization and integrates the prediction of REN outputs into the pricing mechanism to guide users in making their best power consumption schedules. The development of a novel pricing mechanism based on concave N-person game theory and a simplified model for fast solution in the power consumption game are highlighted as key contributions.
IEEE TRANSACTIONS ON POWER SYSTEMS
(2021)
Article
Economics
Athir Nouicer, Leonardo Meeus, Erik Delarue
Summary: In this paper, two schemes for contracting demand-side flexibility by the Distribution System Operator (DSO) at the planning stage are investigated. The first scheme is a voluntary demand-side connection agreement where consumers offer their flexibility, while the second scheme is a mandatory demand-side connection agreement where the DSO sets the flexibility levels. Through modeling and analysis, it is found that mandatory demand-side connection agreements result in higher welfare gains compared to voluntary ones, but may face implementation issues and different curtailment levels among consumers.
Article
Engineering, Electrical & Electronic
Lefeng Cheng, Linfei Yin, Jianhui Wang, Teng Shen, Yang Chen, Guiyun Liu, Tao Yu
Summary: This paper investigates the behavioral decision-making issues in power demand-side response management using multi-population evolutionary game dynamics, developing specific models and algorithms, and exploring the long-term evolutionary stable equilibrium of user engagement in power DRM. The study reveals the significant role of incentive pricing in increasing user engagement in power DRM.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2021)
Article
Computer Science, Artificial Intelligence
Muneeb Ul Hassan, Mubashir Husain Rehmani, Jia Tina Du, Jinjun Chen
Summary: In order to efficiently provide demand side management (DSM) in smart grid, pricing based on real-time energy usage is considered the most important tool. However, this can lead to privacy concerns for smart meter users. Therefore, this paper proposes a modified usage based dynamic pricing mechanism that only charges users responsible for causing peak factor, and integrates the concept of differential privacy to protect the privacy of real-time smart metering data. The proposed strategy shows better performance in terms of dynamic pricing and privacy preservation.
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
(2023)
Article
Thermodynamics
Milky Ali Gelchu, Jimmy Ehnberg, Dereje Shiferaw, Erik O. Ahlgren
Summary: Solar PV-based autonomous mini-grids are a cost-effective and reliable option for rural electrification. However, the high initial investment cost for renewable energy technologies poses a challenge for rural communities. By implementing demand-side management (DSM), the cost-efficiency of mini-grids in rural areas can be improved. This study aims to determine the impact of DSM implementation at a category level on the cost-effectiveness of mini-grid components sizing for different load categories.
Article
Telecommunications
Anika Anwar, Talal Halabi, Mohammad Zulkernine
Summary: This paper proposes a trustworthy communication-driven vehicular collaboration framework to prevent data integrity attacks. The framework incorporates a distributed coalition formation game and a trust-based data aggregation procedure to enable dynamic joining and leaving of collaborative communities and protect against false events.
VEHICULAR COMMUNICATIONS
(2022)
Article
Thermodynamics
Hosein Saeian, Taher Niknam, Mohsen Zare, Jamshid Aghaei
Summary: This paper presents a novel demand side management method based on game theory and an effective payoff function for optimizing the operation of microgrids and maximizing the profit of microgrid operators. By optimizing the interactions between different microgrids and using the Gray Wolf Algorithm to participate in market mechanism, the Nash equilibrium is achieved and the profit for microgrid operators is increased.
Article
Green & Sustainable Science & Technology
Meraj Sohrabi, Zeynab Banoo Ahani Amineh, Mohammad Hossein Niksokhan, Hossein Zanjanian
Summary: This paper proposes a new framework for optimizing the allocation of water resources, taking into account both the water value and strategic management perspectives. The study utilizes a questionnaire to assign weights, and uses a model to allocate transferred water while visualizing possible scenarios and equilibrium states. The results indicate that significant water resources are allocated to the industrial and agricultural sectors, based on the chosen water value perspective.
ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY
(2023)
Article
Engineering, Electrical & Electronic
Mrityunjay Kumar Mishra, Krishna Murari, S. K. Parida
Summary: The article models demand-side management (DSM) as a non-cooperative game and thoroughly investigates the existence, quality, and multiplicity of Nash equilibriums (NE). The proximal decomposition algorithm (PDA) is utilized to obtain the NE of the game. The impact of the DSM solution on users' energy bill, comfort, and privacy, as well as system performance parameters, is analyzed and demonstrated using the IEEE-33 bus distribution system. The obtained results show significant reductions in energy bills and improved system performance parameters.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2022)
Article
Engineering, Electrical & Electronic
Zahra Baharlouei, Massoud Hashemi, Hamed Narimani, Hamed Mohsenian-Rad
IEEE TRANSACTIONS ON SMART GRID
(2013)
Article
Engineering, Biomedical
Mahshad Javidan, Mohammadreza Yazdchi, Zahra Baharlouei, Amin Mahnam
Summary: A practical system for continuous valence estimation based on a few EEG channels was proposed in this study. By implementing various features and models and ranking them based on dataset performance, the study demonstrated high accuracy and correlation in emotion recognition experiments.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
(2021)
Proceedings Paper
Engineering, Biomedical
Neda Abdollahpour, Mohammadreza Yazdehi, Zahra Baharlouei
Summary: This article proposes a new semi-automatic method for removing EEG artifacts to improve system performance. The method utilizes reference clusters and a blind source separation algorithm to eliminate artifacts. Experimental results show promising performance improvement.
2022 29TH NATIONAL AND 7TH INTERNATIONAL IRANIAN CONFERENCE ON BIOMEDICAL ENGINEERING, ICBME
(2022)
Proceedings Paper
Engineering, Biomedical
Neda Abdollahpour, Mohammadreza Yazdchi, Zahra Baharlouei
Summary: This article proposes a new framework to address the issue of small portions of labeled datasets in multi-class Motor Imagery Brain-Computer Interface (MIBCI) problems. The framework combines Independent Component Analysis (ICA), multi-class Common Spatial Pattern (CSP), and a functional Application Programming Interface (API) model. The experimental results show that the proposed method is reliable, practical, and competitive compared to other popular methods.
2022 29TH NATIONAL AND 7TH INTERNATIONAL IRANIAN CONFERENCE ON BIOMEDICAL ENGINEERING, ICBME
(2022)
Proceedings Paper
Engineering, Electrical & Electronic
Zahra Baharlouei, Massoud Hashemi
2013 SMART GRID CONFERENCE (SGC'13)
(2013)
Proceedings Paper
Computer Science, Hardware & Architecture
Hossein Akhavan-Hejazi, Zahra Baharlouei, Hamed Mohsenian-Rad
2012 IEEE THIRD INTERNATIONAL CONFERENCE ON SMART GRID COMMUNICATIONS (SMARTGRIDCOMM)
(2012)
Proceedings Paper
Engineering, Electrical & Electronic
Zahra Baharlouei, Hamed Narimani, Hamed Mohsenian-Rad
2012 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM)
(2012)