JOULE-II Contract: JOU2-CT93-0361 AREP
The objective for this project is the development of an innovative autonomous hybrid power supply system. The system will have the following features:
- self-adapting to different climates and users by an innovative, self-organizing Energy Management System;
- usable as a universal autonomous power supply system especially for rural electrification;
- totally driven by renewable energy;
- easy to handle even for non technicians;
- easy to enlarge or reduce even with new power sources such as hydro power; - comparable to conventional systems in reliability, maintenance, handling and costs;
- easy to transport.
These objectives will be reached by the adoption of completely new design ideas and technologies come in part from sources outside the renewable energy sector such as Artificial Intelligence.
The possibility of constructing a universal system which is capable of adapting to any external conditions such as climate and consumer behaviour, will make it possible to manufacture standardised units, therefore to reduce costs substantially.
The new Energy Managing System can be transfered to larger systems like buildings and in future to the common grid.
JOULE-II Contract JOU2-CT93-0361 DEVELOPMENT OF AN INNOVATIVE AUTONOMOUS 2 kW HYBRID PV-WIND POWER SUPPLY PILOT SYSTEM FOR RURAL ELECTRIFICATION (AREP) The aim is to develop a management system for hybrid power supply units capable of adapting itself automatically to different boundary conditions such as wind regimes, solar irradiation and consumer types through self-learning procedures. This will allow to use identical units for different application types which may be produced in large quantities and thus reduce engineering and manufacturing costs dramatically. The expected features will be obtained through the consistent integration of recent developments in the sector of Energy Management, power electronics and battery management and the results of the EEC project "Concerted actions on european PV pilot systems". The key innovations are: A) Decentralized Energy Management based on actual pricing and flexible reaction of energy producing components and consumers. The pricing procedure using neural networks is based on the prediction of solar radiation, windspeed and load profile as a self learning system.
B) Intelligent Battery Management by using newly developed battery single cell monitoring and controlling subsystems and by battery charge control using neural networks and fuzzy logics. A new method also based on neural networks will be used for the battery state of charge calculation which is the key figure for the Energy Management procedure.
C) Variable speed wind turbine with fully integrated power electronics and control. The combination of a direct drive generator and a solid state power converter including all control features allows to minimize the moving mechanical parts to only one : the rotor. This rotor is stall controlled and the speed control is performed by the integrated power electronics.
D) Integration of the system into a mobile structure which allows to operate at different sites under different conditions.
Funding SchemeCSC - Cost-sharing contracts
175 62 Jaerfaella