engleski

Photovoltaic panels: A review of the cooling techniques

Renewable Energy Sources are growing component of power grids around the world and major reasons are increase use of distributed generation, environmental consideration, technological development and increased customer participation. This growth has resulted in many technological and scientific challenges i.e. grid integration, quality of power quality, distribution network management and operation due to its variable and intermittent nature. This trend is making conventional management approaches no longer sufficient and demands for investigation of new tools and methods. This paper proposes multi- agent based distributed approach for control of distributed energy resources considering communication requirements and constraints. Communication is an enabling technology for increased automation, and it is necessary to consider performance of management algorithms and processes in a realistic manner considering effects of change in communication parameters. A co-simulation frame work comprising power system simulator, agent environment and communication simulator was used to validate the proposed Multi-Agent System (MAS) based approach. IEEE 37-Node Test feeder with distributed generation was used for simulation. The problem of voltage regulation in distribution network was addressed using distributed generation and average consensus based distributed algorithm was used for reactive power support. Performance of the system was observed in two test cases 1) ideal communication between agents (no delay etc.) 2) considering communication channel between agents. Communication system and traffic modeling was considered with parameters like transmission delay, channel capacity etc and was designed in communication tool OMNeT++. Key Performance Indices (KPI) for voltage profile was calculated to compare the results of the two test cases. Results showed that MAS based decentralized approach is quite effective to control of distributed energy resources, however communication effects on the algorithm must be taken into account.

cooling techniques; photovoltaics; electrical efficiency; renewable energy

nije evidentirano