Οι σπουδαστές μας στο συνέδριο e RA - 4 Spetses 24-26 September 2009

Equivalent Transmission Lines for the Analysis of Organic Photovoltaic Devices

N.A.Stathopoulos a, S.P.Savaidis a, S.Yesayan a, L.C.Palilis b, M.Vasilopoulou b, P.Argitis b

a. Department of Electronics, Technological Educational Institute (TEI) of Piraeus, 250 Thivon & P.Ralli, Aigaleo, Athens – 12244, Greece
b. Inst. of Microelectronics, National Center for Scientific Research (NCSR) “Demokritos”, 15310 Athens, Greece

Abstract 
Organic photovoltaic (PV) cells provide an efficient alternative solution compared to traditional PV devices for transformation of sun’s visible light energy into electricity. The low cost of the materials together with the small and flexible shape of the device geometries are the main advantages of the organic PV technology. The wide applicability of the aforementioned technology depends among other issues on the improvement of the power conversion efficiency of organic PV devices. It has been proved that the geometry of the devices and the dielectric properties of the used materials influence strongly the device’s power conversion efficiency [1]. Due to this reason modeling of the light absorption with respect to the materials’ properties and the geometry of the device becomes a perquisite for device optimization.

Modelling Energy Supply and Demand using Artificial Neural Networks

Vassilis Mamakos1 and Agis Papantoniou2
1 Student, Department of Electronics, Technological Educational Institute (TEI) of Piraeus, e-mail:  Αυτή η διεύθυνση ηλεκτρονικού ταχυδρομείου προστατεύεται από τους αυτοματισμούς αποστολέων ανεπιθύμητων μηνυμάτων. Χρειάζεται να ενεργοποιήσετε τη JavaScript για να μπορέσετε να τη δείτε., postal: P.O.Box 6, 19014 Kapandriti, Attiki.
   2 Scientific Affiliate, Department of Electronics, Technological Educational Institute (TEI) of Piraeus, 
e-mail:  Αυτή η διεύθυνση ηλεκτρονικού ταχυδρομείου προστατεύεται από τους αυτοματισμούς αποστολέων ανεπιθύμητων μηνυμάτων. Χρειάζεται να ενεργοποιήσετε τη JavaScript για να μπορέσετε να τη δείτε., postal: Petrou Ralli & Thivon 250 
12244 Aigaleo, building Z.

Abstract
Within the last years power systems in European countries like Denmark and Norway have started to change from having generation, transmission, and distribution of power as an integrated responsibility of one or very closely related utilitiesto a more liberalized and decentralized system [1]. The driving force in this change was the introduction of many small and local combined heat and power plants and the liberalization of the market, initiated by EU and the governments of these countries. 
Further to that, the existence of these small and local power trading “players” has started to form a market the trading power of which is like the trading of any other goods. Therefore traditional market mechanisms can apply to this power market as in any other market. Supply and demand determines the price, which will surely be a combination of how much the buyer is willing to pay and how little the seller is willing to sell [1].
Virtual Power Plants are a typical case of a clustered set of distributed generation installations (such as microCHPwind-turbinessmall hydro, etc.) which are collectively run by a central control entity [2]. 
Such power plants, which are given the attribute “virtual” due to them not being physical installations but moreover a software driven system, should be generic in order to accept any unit suited for distributed  power generation. 
Power producers and power traders that participate within this market, supported by the VPPs are allowed to trade directly with each other as well as with other entities such as end-users and industries.
All the above involve complex prediction, forecasting and pricing schemes. Furthermore any systems supporting such operations need to be adaptable due to the dynamic nature of every open market. It is our belief that there is no other mathematical model than the Artificial Neural Networks (ANN) that can simulate efficiently this open market structure and its functional aspects [3].

Therefore this paper’s ambition is to examine the formalization of a framework that will have as objective to model the basic functionalities of an Energy Open Market supported through a VPP

Mamakos

Formalizing Energy Information Exchange in Virtual Power Plants

Manolis Koulaouzidis1 and Agis Papantoniou2
1 Student, Department of Electronics, Technological Educational Institute (TEI) of Piraeus  
E-mail: Αυτή η διεύθυνση ηλεκτρονικού ταχυδρομείου προστατεύεται από τους αυτοματισμούς αποστολέων ανεπιθύμητων μηνυμάτων. Χρειάζεται να ενεργοποιήσετε τη JavaScript για να μπορέσετε να τη δείτε.
               2 Scientific Affiliate, Department of Electronics, Technological Educational Institute (TEI) of Piraeus
E-mail: Αυτή η διεύθυνση ηλεκτρονικού ταχυδρομείου προστατεύεται από τους αυτοματισμούς αποστολέων ανεπιθύμητων μηνυμάτων. Χρειάζεται να ενεργοποιήσετε τη JavaScript για να μπορέσετε να τη δείτε.

Abstract
"Virtual Power Plants" (VPPs) are the denomination of a power generation system that comprises a large number of installations where the combined capacity corresponds to that of a "large" power station [1], [2].
The Virtual Power Plant software allows energy system managers to create virtual sites based on multiple criteria such as economic, fuel type, or location characteristics. A user-friendly interface allows an operator to quickly dispatch a virtual site based on a specific need. The very simple concept of a generic VPP is that many small power generating units together have the production capacity of one traditional power plant and also act on the market as one power plant [1].
Wind power energy is getting more mature and wind farms are taking their place as one of the mainstream options for power generation [3]. Furthermore, intelligent monitoring and control of these wind farms through well established protocols and specifications (like TCP/IP and XML) is already implemented in information management systems [4].
Research projects like [5] and [6] seems to exploit successfully the well established family of standards IEC 61400 [7] which focuses on the communication between wind power plant components and actors such as SCADA systems.
Based on the IEC 61400-25 entitled “Wind Turbines: Communication and control of wind power plants” [7], this paper ambition is to assess the use of communication protocols like TCP/IP and message exchange specifications like XML in Virtual Power Plants.

Koulaouzidis

 

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