Title :
Optimal power dispatch of photovoltaic system with random load
Author :
Momoh, James A. ; Wang, Yaoyu ; Eddy-Posey, Fannie
Author_Institution :
Center for Energy Syst. & Control, Howard Univ., Washington, DC
Abstract :
Recent advances in photovoltaic (PV) technologies have brought very promising opportunities for the utilization of renewable solar energy systems. The power generation performance of PV system can be influenced by random insolation level, cell temperature, fault level of PV arrays and the output voltage level. It is very necessary to track and dispatch the power of PV system especially when it is used to supply energy to random load. In this paper, an integrated scheme for optimal power tracking of PV system has been proposed, where artificial neural network (ANN) is first used to predict the insolation level and then the genetic algorithm (GA) is utilized to optimize the power generation of the PV system. A optimal control module is designed to optimally dispatch the power of PV system with battery storage when it supplies power to a distribution system with random load. Simulations results have shown the effectiveness of the proposed integrated optimal power tracking and dispatching scheme
Keywords :
genetic algorithms; neural nets; optimal control; photovoltaic power systems; power generation dispatch; power system control; power system faults; renewable energy sources; solar cell arrays; ANN; GA; PV arrays; PV system; artificial neural network; battery storage; cell temperature; distribution system; fault level; genetic algorithm; optimal control; optimal power tracking; optimization; photovoltaic; power dispatch; power generation; random load; renewable solar energy systems; Artificial neural networks; Batteries; Genetic algorithms; Optimal control; Photovoltaic systems; Power generation dispatch; Solar energy; Solar power generation; Temperature; Voltage;
Conference_Titel :
Power Engineering Society General Meeting, 2004. IEEE
Conference_Location :
Denver, CO
Print_ISBN :
0-7803-8465-2
DOI :
10.1109/PES.2004.1373216