arXiv subjects

Vahid Vahidinasab

Publications and source records attributed to Vahid Vahidinasab.

5 recordsLinked to original sources

arXiv2025

EV Fleet Flexibility Estimation and Forecasting for V2X Applications

Forecasting the flexibility potential of Vehicle-to-Everything (V2X) systems is important for the future of energy networks, where the integration of renewable energy sources and electric vehicles poses significant challenges. In this paper, we present a novel method for estimating and predicting V2X flexibility potential of an EV fleet, based on an aggregate polytope representation, addressing the need for accurate and reliable forecasting methods in the realm of sustainable transportation. The method is robust against individual uncertainties of EV owners behaviours as it is applied at an aggregate level, and the reformulation of the V2X potential as a set of linear constraints allows the proposed method to be integrated into different optimisation problems and therefore be applied for diverse V2X applications. Case studies showcase the capability of the method in capturing the V2X flexibility potential and demonstrate it effectiveness for different V2X applications.

math.OC↗

arXiv2024

Vehicle-to-Everything: Looking into the Future of Flexibility Services

The primary aim of this paper is to illuminate potential Vehicle-to-Everything (V2X) flexibility services that can be activated at the three levels of home, community, and grid. To do this, the potential practical services that can be provided by EVs, flexibility requesters, and the required exchange mechanisms at these three levels are identified. At the home level, the two main services that EVs can provide to households are explored. The initial service focuses on cost reduction for homes by employing smart charging and discharging methods, and the second service underscores the capability of an EV equipped with bidirectional chargers to function as a backup resource during grid outages. At the community level, three flexibility services are introduced and outlined: community cost reduction, energy sharing, and backup resources. There is more than one flexibility requester, including the community manager, EV owners, and other end users. Accordingly, at this level, having a fair and transparent market mechanism can optimise the activation of different V2X flexibility services. At the grid level, flexibility providers can offer two main flexibility services, namely load profile adjustment and real-time voltage and frequency control, to a wide range of flexibility requesters, including distribution network/systems operators (DNOs/DSOs) to overcome technical challenges of the distribution network, energy suppliers to manage their energy portfolio, and TSOs to support transmission network. In addition, a review of trial V2X projects and V2X supporting regulations is presented to contextualize the feasibility and regulatory framework for implementing these services. This analysis offers insights into the challenges and opportunities that need to be addressed for the effective integration of V2X flexibility services across the three identified levels.

eess.SY↗

arXiv2021

Demand Response Requirements from the Cultural, Social, and Behavioral Perspectives

Demand-side response programs which also called Demand Response (DR) are interesting ways to attract consumers' participation in order to improve electric consumption patterns. DR programs motivate customers to change consumption patterns in response to price changes. This could be done by paying incentives or considering penalties either when wholesale market prices are high or when network reliability is at risk. The overall purpose of implementing DR programs is to improve reliability of the networks, while reducing the operation costs. Successful implementation of these DR programs requires prerequisites, which without them, there is no guarantee of success. Different disciplines have provided various scientific solutions for creating optimal power consumption behavior in customers (such as utilizing intelligent home appliances and big data techniques). Although each of these solutions might be efficient and effective, they could not cover all the aspects of the solutions. The results of studies conducted by many researchers show that in addition to the technical and economic issues, social, cultural, and behavioral factors are of great importance in DR implementation. Therefore, in this paper, these aspects, as one of the vital requirements for better implementation of DR, are investigated and analyzed in detail.

physics.soc-ph↗

arXiv2020

Formal Controller Synthesis for Frequency Regulation Utilising Electric Vehicles

In this paper, we propose a formal controller synthesis approach for integrating a population of plug-in electric vehicles in frequency regulation of power systems. This approach is the first application of formal methods to the smart grids in particular to the frequency regulation of power systems. We design and simulate a novel symbolic controller for the Great Britain power system. The proposed controller enhances the frequency response behaviour of the system when encountered with a large outage event. The symbolic controller guarantees the settlement of the after-event's frequency in the specified safe interval and ensures other requirements on the frequency are met.

eess.SY↗

arXiv2019

A Distributed Event-Triggered Control Strategy for DC Microgrids Based on Publish-Subscribe Model Over Industrial Wireless Sensor Networks

This paper presents a complete design, analysis, and performance evaluation of a novel distributed event-triggered control and estimation strategy for DC microgrids. The primary objective of this work is to efficiently stabilize the grid voltage, and to further balance the energy level of the energy storage (ES) systems. The locally-installed distributed controllers are utilised to reduce the number of transmitted packets and battery usage of the installed sensors, based on a proposed event-triggered communication scheme. Also, to reduce the network traffic, an optimal observer is employed which utilizes a modified Kalman consensus filter (KCF) to estimate the state of the DC microgrid via the distributed sensors. Furthermore, in order to effectively provide an intelligent data exchange mechanism for the proposed event-triggered controller, the publish-subscribe communication model is employed to setup a distributed control infrastructure in industrial wireless sensor networks (WSNs). The performance of the proposed control and estimation strategy is validated via the simulations of a DC microgrid composed of renewable energy sources (RESs). The results confirm the appropriateness of the implemented strategy for the optimal utilization of the advanced industrial network architectures in the smart grids.

eess.SP↗