We describe and contrast different market mechanisms to incentivize residential electricity customers to perform demand response (DR) via load shifting of schedulable assets. A customer-incentive pricing (CIP) mechanism from our past research is discussed, and compared to flat-rate, time-of-use (TOU), and real-time pricing (RTP). The comparison is made using a for-profit aggregator-based reside...

This paper investigates the impact of electric vehicle (EV) aggregator with communication time delay on stability regions and margins a single-area load frequency control (LFC) system. Primarily, graphical method characterizing boundary locus is implemented. For given delay, computes all stabilizing pro-portional-integral (PI) controller gains, which constitutes region in parameter space PI con...

Because of the lack upstream grid support and low inertia, independent microgrids are very susceptible to load variations uncertainty in generation renewable energy sources. Disruption microgrid frequency stability causes severe damage various system equipment frequency-sensitive loads. By taking into account effects electric vehicles (EVs), this paper introduces an innovative control strategy ...

This paper aims to find the efficient state of hybrid electric vehicle (HEV) by simultaneous optimization of the control strategy and the power train. The power transmission employed in this vehicle is a power-split continuously variable transmission (CVT) which uses several fixed ratio mechanisms. After describing this transmission, the rules of electric assist control strategy are introduced....

Kyle Anderson CS 229 Machine Learning Final Project Abstract— This project attempts several methods to optimize charging schedules for electric vehicles on a constrained radial network using machine learning. In the first approach, electric vehicles act as independent agents in a QLearning framework, receiving negative rewards based on congestion charges calculated from their contribution to o...

Optimization of specific power of axial flux permanent magnet brushless DC (PMBLDC) motor based on genetic algorithm optimization technique for an electric vehicle application is presented. Double rotor sandwiched stator topology of axial flux permanent magnet brushless DC motor is selected considering its best suitability in electric vehicle applications. Rating of electric motor is determined...

Using an Electric Differential (ED) in electric vehicle has many advantages such as flexibility and direct torque control of the wheels during cornering and risky maneuvers. Despite its reported successes and advantages, the ED has several problems limits its applicability, for instance, an increment of control loops and an increase of computational effort. In this paper, an electric differenti...

An upcoming introduction of plug-in hybrid electric vehicles and electric vehicles could put power systems’ infrastructure under strain in the absence of charging control. The charging of electric vehicles could be managed centrally by a socalled aggregator, which would take advantage of the flexibility of these loads. To determine optimal charging profiles day-ahead, the aggregator needs infor...

in this paper, an adaptive rule based controller for an anti-lock regenerative braking system (arbs) of a series hybrid electric bus (sheb) has been proposed. the proposed controller integrates the regenerative braking and wheel anti-lock functions by controlling the electric motor of the hybrid vehicle, without using any conventional mechanical anti-lock braking system. the performance of the ...