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155 results on '"Khan, Jamil"'

14. Real-Time Load Scheduling and Storage Management for Solar Powered Network Connected EVs.

Author

Ahmad, Ashfaq and Khan, Jamil Yusuf

Abstract

In this paper, we investigate a joint real-time load scheduling and energy storage management at a grid-connected solar powered electric vehicle. Without any a priori knowledge, we consider a finite time approach with arbitrary dynamics of system inputs. Our aim is to minimize an average aggregated system cost through joint optimization of electric vehicle's energy procurement price, load scheduling delays, photovoltaic sufficiency in terms of locally generated renewable energy mix, and battery degradation. Through subsequent modification and reformulation of the joint optimization problem, we utilize the concept of one-slot look-ahead queue stability to solve the problem by employing the Lyapunov optimization technique. We show that the joint optimization problem is separable into sub-problems, which are sequentially solved with asymptotic optimality and a bounded performance guarantee. Simulations are carried in different scenarios and under varying weather conditions. Results show that our proposed algorithm can achieve a daily electric vehicle's photovoltaic sufficiency up to 50.50%, a monthly bill reduction up to 72.61%, and a yearly reduced CO $_2$ emission level up to 6.06 kg, while meeting electric vehicle user's energy and delay requirements. [ABSTRACT FROM AUTHOR]

Published
2020
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22. Roof-Top Stand-Alone PV Micro-Grid: A Joint Real-Time BES Management, Load Scheduling and Energy Procurement From a Peaker Generator.

Author

Ahmad, Ashfaq and Yusuf Khan, Jamil

Abstract

In this paper, we propose a user centric real-time (RT) technique for an optimal control of a distributed photovoltaic stand-alone micro-grid. Our objective is to minimize an average aggregated system cost over a finite time period considering a joint optimization problem of battery energy storage (BES) management, load scheduling, and energy procurement process from a peaker generator (PG). Due to online decision making, the dynamic control actions of the state of energy of the storage battery are correlated over time. Thus, we impose a constraint on the BES state of energy over the considered time period and eliminate the finite BES capacity constraint. In the load scheduling process, we account for the temporal variability and spatial uncertainty of each household load explicitly. We introduce the concept of block duration to optimize the energy procurement cost from a PG. We modify and then transform the problem to utilize the Lyapunov optimization technique. We show that the proposed solution to the joint optimization problem is asymptotically optimal with a bounded performance guarantee and is easy to implement. Simulations in different weather conditions show the effectiveness of our proposed user centric RT solution in terms of the selected performance metrics. [ABSTRACT FROM AUTHOR]

Published
2019
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27. A simple model for non-homogeneous and non-saturated IEEE 802.11 DCF infrastructure BSS

Author

Eng Hwee Ong, Kaushik Mahata, and Y. Khan Jamil

Subjects
Queueing theory, IEEE 802.11, business.industry, Computer science, Quality of service, Non homogeneous, ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS, Wireless lan, Wireless, Throughput, Admission control, business, Computer network
Abstract

We propose a simple unified analytical model to analyze the IEEE 802.11 DCF infrastructure BSS performance in terms of MAC delay, PLR, and throughput efficiency under non-homogeneous and non-saturation conditions. Our model accounts for: (i) asymmetric traffic load between an AP and its associated STAs of an infrastructure BSS; (ii) transition from the non-saturation to saturation mode (and vice-versa) from an AP perspective; (iii) heterogeneous traffic flows between STAs; and (iv) heterogeneous wireless channel conditions between BSSs of a multi-AP hotspot scenario, all in a single unifying framework. More specifically, we integrate a Markov chain model in conjunction with a finite queueing model to analyze the QoS performance of DCF infrastructure BSS, which will be useful for capacity analysis and the design of network control mechanisms. Extensive analyses and simulations have unveiled that the improper modeling or ignorant of backoff freezing for an infrastructure BSS will result in overly conservative bounds which will lead to low network utilization when deployed as admission control, particularly, in heavy load scenarios.

Published
2010

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