Hanife Apaydın Özkan

A smart air conditioner in smart home

In this work, a smart Air Conditioner scheme is proposed and its adaptation to a Smart Home system is presented. Firstly, working principles of conventional Air Conditioner and the proposed smart Air Conditioner are explained and compared. Then, Petri net model of the smart Air Conditioner is developed in order to enable a good general view of the operation of the smart-Air Conditioner and its adaptation to Smart Home. Moreover, for monitoring and controlling the smart Air Conditioner, a program is prepared by using Keysight VEE 9.3 software. Experimental results demonstrate that the proposed scheme provides a significant savings in electricity bills as well as improving user comfort.

A home power management system using mixed integer linear programming for scheduling appliances and power resources

In this work, a home power management system is proposed to minimize electricity cost and reduce high peak demand while maintaining user comfort. The system is composed of smart electrical appliances, which are divided into three subclasses as uncontrollable, semi-controllable and controllable, power units (photovoltaic system, grid, battery), communication network and a main controller. At the beginning of each day, the main controller gathers user request and power resource information and solves a mixed integer programming problem formulated with the smart and energy efficient operation constraints defined for appliances and power resources. The solution of this problem provides cost minimizing schedules of controllable appliances and power resources. Simulation results demonstrate that the proposed home power management system significantly reduces the electrical costs and peak demand.

A real-time home power resource management method

In this work, a real time Home Power Resource Management system is presented. This system includes grid with time-of-use pricing, photovoltaic panels and storage battery as power resources, and uses a main controller and the developed rule based algorithm to manage these resources for reducing the electricity cost and avoiding high peak demand simultaneously. In the prescribed time intervals, the algorithm is executed and it selects power resource(s) to cater the power demand during the current time interval according to prescribed priorities and without exceeding certain limits on power drawn from the grid. Furthermore, a simulation program implementing the proposed algorithm is developed using software tools Matlab and AgilentVee. Obtained numerical results showed that the algorithm significantly reduces the electricity cost and high peak demand.In this work, a real time Home Power Resource Management system is presented. This system includes grid with time-of-use pricing, photovoltaic panels and storage battery as power resources, and uses a main controller and the developed rule based algorithm to manage these resources for reducing the electricity cost and avoiding high peak demand simultaneously. In the prescribed time intervals, the algorithm is executed and it selects power resource(s) to cater the power demand during the current time interval according to prescribed priorities and without exceeding certain limits on power drawn from the grid. Furthermore, a simulation program implementing the proposed algorithm is developed using software tools Matlab and AgilentVee. Obtained numerical results showed that the algorithm significantly reduces the electricity cost and high peak demand.

BUG-0, 1, 2 ALGORİTMALARI VE PETRİ AĞI MODELLERİ

Bu calismada oncelikle, 2B bir ortam icerisinde bilinmeyen engellerin bulundugu, gidilecek hedefin koordinatlarinin bilindigi ve bu hedefin bir baslangic noktasindan ulasilabilir oldugu bir konfigurasyon icerisinde guzergâh planlamasi yapilmasina yonelik Lumelski ve Stepanov tarafindan onerilen Bug-0, Bug-1 ve Bug-2 algoritmalari tanitilmistir. Sozu edilen algoritmalarin isleyisinin gozlemlenmesi uygulanacaklari sistemler uzerindeki etkilerinin anlasilmasi ve yorumlanmasi acisindan onemlidir. Bu calismada sozkonusu algoritmalarin modellenmesinde kesikli olay sistemlerinin modellenmesi ve analizinde siklikla kullanilan Petri aglari ele alinmis ve algoritmalarin isleyisi bu modeller uzerinden ele alinarak isleyisin izlenmesi ve ongorulmesinde buyuk kolaylik saglanmistir.

On achieving reachability paths of Petri nets

Petri net is a powerful graphical and mathematical tool for analysis and design of discrete event systems. This paper focuses on the reachability path problems in Petri nets. Thereby, two algorithms are developed to create the set of minimal paths and the shortest path to lead the system from the given initial state to a desired state. Both of them are enlightened by dynamic programming approach; that is to say, they are backward techniques. Proposed algorithms do not deal with the reachability tree or graph of the net under analysis and use memory only for storing the obtained paths unlike the approaches based on the reachability tree. Moreover, the algorithms can be applied to general Petri nets without any restriction.