Showing 1-6 of 6 results
- Sort
Sort By
Results
Optimal V2G Commitment in Multi-unit Residential Buildings
2024 IEEE International Conference on Smart Mobility (SM)
Year: 2024 | Conference Paper |
This work studies the cost-effectiveness of vehicle-to-grid (V2G) in residential applications and presents a self-maintained and scalable solution for optimizing the scheduling of a cluster of V2G units distributed across multi-unit residential buildings (MURBs). The mathematical model takes into account both the revenue and costs associated with a self-committed V2G technique, serving electric ma...Show More
We introduce data-driven and scalable digital twins (DTs) and decentralized observer-based control (DOBC) to enhance inverter synchronization in low-inertia microgrids. The proposed DT, serving as cyber-physical replicas, enables real-time monitoring and data-driven control. We employed the Kuramoto model as a reduced-order dynamic representation of the low inertia inverter-based microgrid. Additi...Show More
EVSE Effectiveness in Multi-Unit Residential Buildings Using Composite Optimization and Heuristic Search
IEEE Transactions on Power Systems
Cited by: Papers (4)
The effectiveness of electric vehicle supply equipment (EVSE) is a very important factor in multi-unit residential buildings (MRBs) when planning to invest in an electric vehicle (EV). However, the expected benefits depend on not only technology but also need many non-functional requirements such as building facilities, electrical infrastructure, operating costs, and energy demand management of EV...Show More
Estimating Global Variables in Multi-agent Distributed OPF with Unreliable Communication
2022 IEEE PES Transactive Energy Systems Conference (TESC)
Year: 2022 | Conference Paper |
In recent years, the emerging significance of coordination of distributed energy resources has established a pathway toward developing distributed control frameworks for power systems. In this regard, the role of communication bottlenecks in the performance of distributed agents (for applications such as Distributed Optimal Power Flow and Transactive Based Grid Control) needs to be studied in more...Show More
Stochastic Demand Response Management Using Mixed-Strategy Stackelberg Game
Mikhak Samadi;Hamed Kebriaei;Henry Schriemer;Melike Erol-Kantarci
Stochastic solutions to the demand response (DR) problem enable utility companies to address the uncertainties in customer demand. In another words, stochastic DR solutions are recently developed considering storage systems, renewable resources, and the electricity market. However, a DR approach for uncertain response of consumers to an incentive-based DR problem has not been studied before. This ...Show More
Energy Blockchain for Demand Response and Distributed Energy Resource Management
Mikhak Samadi;Henry Schriemer;Sushmita Ruj;Melike Erol-Kantarci
2021 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm)
Year: 2021 | Conference Paper |
Cited by: Papers (5)
The high impact of demand reduction on the energy grid management and the importance of reducing loss of distributed energy resources (DERs), in addition to the necessity of a secure distributed data storing system motivate us to propose an energy blockchain solution. This paper presents a demand response (DR) solution utilizing energy blockchain to reduce demand, save the extra DERs, and efficien...Show More
IEEE Account
Purchase Details
Profile Information
Need Help?
- US & Canada: +1 800 678 4333
- Worldwide: +1 732 981 0060
- Contact & Support
- About IEEE Xplore
- Contact Us
- Help
- Accessibility
- Terms of Use
- Nondiscrimination Policy
- Sitemap
- Privacy & Opting Out of Cookies
A not-for-profit organization, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity.
© Copyright 2025 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.