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Plug-in Electric Vehicles (PEVs) are becoming popular due to the clean way of transportation, versatile charging rates and ancillary service provision. They provide high flexibility to the grid operators in balancing the supply and demand and thereby regulating the frequency. Therefore, PEVs can be used as resources for demand adjustment in microgrids which are highly prone to energy imbalances due...
Electric vehicle penetration into the electrical networks is on upward trend across many countries. EVs are also likely to bring with them associated infrastructure for charging into the electrical distribution systems. This is likely to impact the electric distribution circuit and may even cause overloading of the vital equipment. Smart grid techniques like demand response are posed to act as counter-measures...
This paper presents an intelligent agency (set of agents) to harmonize the local demand and on-site energy resources. Demand Response is one such resource that has a significant potential in managing the distribution systems with large number of intermittent sources of energy. Demand response is a load management strategy to flatten the system load curve by motivating the customers to adjust their...
Demand response (DR) can be defined as change in electric usage by end-use customers from their normal consumption patterns in response to change in the price of electricity over time. Demand Response also refers to incentive payments designed to induce lower electricity use at times of high wholesale market prices. Time-of-use (TOU) power pricing has been shown to have a significant influence on...
The aim of our study is the optimization after restoring and reconfigure the faulted area in a distribution network after locating and isolating the faulted block. Restoration involves changing the switch status to maximize the supply to loads that are left unsupplied after fault removal. After system optimization using reconfiguration, Field Programmable Gate Array (FPGA) is used in order to control...
In this paper, a control algorithm based on Power Balance Theory (PBT) is modified to control the DSTATCOM. A 3-leg VSC (voltage source converter) with a zigzag transformer is used as a DSTATCOM (Distribution Static Compensator) for compensation of the reactive power, harmonic currents, unbalance loads and the neutral current in three-phase four-wire distribution system. The modified PBT based control...
In this paper, a neural network controlled DSTATCOM (Distribution Static Compensator) using dSPACE processor is implemented for power quality improvement in a three-phase four-wire distribution system. A three-leg VSC (Voltage Source Converter) based DSTATCOM with a zig-zag transformer is used for the compensation of reactive power for voltage regulation or for power factor correction along with load...
Load balancing in parallel master-slave implementations on heterogeneous computing clusters is a pressing research problem. Proper load balancing can lead to dramatic speedups in program run times. This paper introduces a novel adaptive fuzzy load balancer which automatically senses cluster state through measurements of node evaluation times and network delays. Measured data are collected within a...
In this paper we propose a series of efficient routing strategies to effectively utilize NoC systems with partially faulty links. These strategies try to use partially faulty links when the load is high and distribute traffic uniformly on links. Evaluation of our strategies for 8times8 mesh with 7% partially faulty links shows that, using our best strategy, it is possible to achieve an average reduction...
In the context of parallel master-slave implementations of evolutionary learning in fuzzy-neural network models, a major issue that arises during runtime is how to balance the load-the number of strings assigned to a slave for evaluation during a generation-in order to achieve maximum speed up. Slave evaluation times can fluctuate drastically depending upon the local computational load on the slave...
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