this paper presents a formulation of unit commitment for thermal units integrated with wind and solar energy systems and electrical vehicles with emphasizing on mixed integer nonlinear programming (minlp). the renewable energy resources are included in this model due to their low electricity cost and positive effect on environment. as well as, coordinated charging strategy of electrical vehicle...

In this paper, an optimal scheduling of thermal and wind power plants is presented by using a stochastic programming approach to cover the uncertainties of the forecasted generation of wind farms. Uncertainties related to wind forecast error, consequently wind generation outage power and also system load demand are modeled through scenario generation. Then, with regard to day-ahead and real-tim...

Reconfigurable instruction set processors can potentially reduce the power consumption of high performance multimedia applications by fusing the concept of a reconfigurable array with a programmable processor. In particular, VLIW processors with coarse-grained reconfigurable functional units are specially suited to low power multimedia applications. Code generation for this type of processors i...

An economic operation scheduling problem of a hydro-thermal power generation system has been properly solved by the proposed multipath adaptive tabu search algorithm (MATS). Four reservoirs with their own hydro plants and another one thermal plant are integrated to be a studied system used to formulate the objective function under complicated constraints, eg water managements, power balance and...

Thispaper presents a deterministic model, which takes into account the final water storage and the effects of water head, for optimal short term generation scheduling of a hydrothermal system. Considering its large scale mixed integer nonlinear structure, a hybrid algorithm based on Genetic Algorithm and tabu search is developed to solve it. The model is divided into thermal power dispatch and ...

In this work, we present a survey of residential load controlling techniques to implement demand side management in future smart grid. Power generation sector facing important challenges both in quality and quantity to meet the increasing requirements of consumers. Energy efficiency, reliability, economics and integration of new energy resources are important issues to enhance the stability of ...

The lack of reliable electricity is one of the problems most hindering human development, affecting over 1.3 billion people worldwide. We are developing a bottom-up approach to electrification that creates a peer-to-peer electricity sharing marketplace. The electricity sharing network poses a problem in multi-agent power scheduling that is not solved by current approaches. The scheduling algori...

In this paper, a preemptive multi-objective multi-mode project scheduling model for resource investment problem is proposed. The first objective function is to minimize the completion time of project (makespan);the second objective function is to minimize the cost of using renewable resources. Non-renewable resources are also considered as parameters in this model. The preemption of activities ...

Demand-side energy management systems (EMSs) are expected to be used as a method for further balancing the supply and demand of power systems with high levels of renewable energy generation, such as photovoltaic (PV) power. Energy demand and solar radiation must be predicted to realize the optimal operation scheduling of demand-side appliances by a home energy management system (HEMS), includin...