[Show abstract][Hide abstract] ABSTRACT: A predictive dispatch algorithm and control for a Photovoltaic-Variable Speed Diesel Generator battery-less hybrid energy system is proposed in this paper. The diesel generators are dispatched based on the predicted net load from the incorporated prediction models. The proposed algorithm is based on the one-hour ahead prediction models to forecast the renewable resource and the load demand. Besides, an adaptive dispatch which is based on one minute average data is also included to complement the predictive dispatch strategy. The adaptive dispatch reacts to the power flow imbalances occur during the intervals in between the prediction periods. This dual-dispatch algorithm is to ensure the on-line diesel capacity is always sufficient throughout the operation. Simulation of the system is performed using MATLAB/Simulink.
[Show abstract][Hide abstract] ABSTRACT: Off-grid hybrid energy system is increasingly popular for remote area power generations. This paper presents the photovoltaic-variable speed diesel generator hybrid energy system without energy storage element. This configuration avoids the high battery installation and maintenance costs as well as the associated complex control. Moreover, incorporation of the variable speed diesel generators into the hybrid energy system gives advantages over the conventionally used constant speed diesel generators. Simulation of the system using MATLAB/Simulink is presented.
[Show abstract][Hide abstract] ABSTRACT: Design and optimization of a hybrid power system is site specific. It depends mainly on the available of renewable sources and the load demand. Sizing of the components has significant influence on the system performance. Due to the weather dependant nature of renewable energy sources, a fossil fuel based constant-speed generator is an essential component in traditional hybrid power systems. However, the efficiency of this generator especially at light loads can be significantly improved by adopting a variable-speed operation. This paper presents a combined sizing and operation control programme that can be used with both traditional constant-speed generators as well as novel variable-speed generators. The programme uses the polynomial curve fitting for the fuel consumption characteristics of variable-speed generators. The accuracy of the calculations is verified by comparing with a well known renewable energy optimization package.
[Show abstract][Hide abstract] ABSTRACT: Efficient operation of a hybrid renewable energy system can be achieved if the power supply from the renewable energy generator and the load demand can be predicted. The forecasts of these parameters are essential for the supervisory control planning and decision making to ensure the generator capacity on the line is sufficient to meet the load demand at a given moment. Forecast models for predicting the solar resource and the load demand are proposed. The proposed models are applied to control an off-grid Photovoltaic-Variable Speed Diesel Generators Hybrid Energy System.