This paper studies charging scheduling problem of electric vehicles (EVs) in the scale of a microgrid (e.g., a university or town) where a set of charging stations are controlled by a central aggregator. A bi-objective optimization problem is formulated to jointly optimize total charging cost and user convenience. Then, a close-to-optimal online scheduling algorithm is proposed as solution. The...

As the interconnection of distributed generation (DG) and energy storage system (ESS), the operation of DG/ESS should be optimized and coordinated. The intermittence of renewable energy and the error of the load forecasting, which is usually taken as the raw data of the global optimization algorithm, cause difference between the actual and the optimal operating status of the network. Feeder Con...

An interesting optimization problem is examined where optimal load allocations depend on processor release times, but the timing of release times depends on the load allocation scenario used. This circular relationship between an optimal solution and release times causes system models whose timing relationships may not have an optimal solution. To obtain an optimal solution based on an assumed ...

Problem statement: In many data grid applications, data can be decomposed into multiple independent sub-datasets and distributed for parallel execution and analysis. Approach: This property had been successfully employed by using Divisible Load Theory (DLT), which had been proved as a powerful tool for modeling divisible load problems in data-intensive grid. Results: There were some scheduling ...

This paper describes an implementation of a genetic algorithm scheme suitable to the optimal shape design of finite-width, isoviscous, fluid film journal bearings under steady load and steady journal rotation. Assuming perfect journal cylindricity, the optimization objective is to determine the circumferential variation of sleeve geometry that maximizes bearing load capacity, subject to specifi...

Remote areas are usually fed from generators that run on diesel. Recently, there is an increasing interest on hybrid renewable energy sources, especially wind and solar energies for their availability and competitive running cost in the Middle East region. The hybrid renewable energy generation systems usually have two or more different generation (or storage) sources of different types to secu...

Demand-side load management is able to significantly improve the energy efficiency of smart grids. Since the electricity production cost depends on the aggregate energy usage of multiple consumers, an important incentive problem emerges: self-interested consumers want to increase their own utilities by consuming more than the socially optimal amount of energy during peak hours since the increas...

The retail market for electric power does not exhibit the usual behavior of supply and demand. Strict regulation on utility companies restrict the prices consumers can be charged. Allowing the companies to vary the price can afford them the opportunity to pass costs along to the consumers and perhaps help avoid catastrophes such as the California electric crisis. In this paper we analyze a syst...

The balancing of the manipulators is an important subject in the different industries, because with the balancing of manipulators, their consumed energy is reduced and it leads to actuators' size reduction. But the relation between of balancing and energy consumption was unclear until the optimal balancing method became introduced. On the other hand, Different tasks for instance, welding and gl...

We consider a distributed parallel server system that consists of multiple server pools and a single customer class. We show that the minimum-expected-delay faster-server-first (MED-FSF) routing policy asymptotically minimizes the stationary distribution of the total queue length and the stationary delay probability in the Halfin and Whitt regime. We propose the minimum-expected-delay load-bala...