This paper proposes a fast and robust nonlinear deadbeat control for boost DC-DC converters. First, the nonlinear state equation is derived, and second a nonlinear current reference deadbeat control is proposed. Third, a new nonlinear controller to implement the load disturbance compensation is proposed. After the simulations and verification by experiments, it was confirmed that under the conditions of an input voltage of 12 V, an output voltage of 20 V, a load resistance of 4 Ω and a sampling frequency of 100 kHz, the voltage command tracking capability of a settling time of 280 μs was achieved, and an output voltage recovery time of 1.46 ms was achieved for a sudden load change.

Boost converters contain a right half plane (RHP) zero. This RHP has severe limitations on the bandwidth of controllers. Further, this RHP makes it difficult to design fast disturbance rejection approaches, such as disturbance observers (DOB). This paper tackles the problem of designing a DOB based control law of the boost converter. This is done by designing a dual loop feedback controller. The designed controller is called current-minor-loop (CML) control. With CML, it is possible to make a fast response of inductor current to track reference current. Following that, the CML can be reformulated such that the current loop is considered unity. Further, the CML is simplified to make the boost converter minimum phase (MP) system. The formulated control approach is validated by simulations using PSIM software. Then, this method is verified by experiments on a boost converter loaded with resistive load.

This paper describes a design for fast and robust nonlinear deadbeat control for boost DC-DC converters. Nonlinear current reference deadbeat control is derived based on nonlinear state equation of the converter. Load disturbance compensation is implemented thus forming a new robust nonlinear controller. Both experiments and simulations of boost converter with input 12 V, output 20 V, load 4 Ω and 100 kHz sampling frequency, confirmed the voltage command tracking capability 266 μs settling time, and also disturbance rejection 1.20 ms recovery time. The method is applicable to boost converters of various applications.

his paper presents an overview of the recent development trends of solar photovoltaic (PV) systems and the performance in the Tanzanian context. The two types of solar power generation that are considered in this paper are: i) solar PV systems and ii) concentrated solar power (CSP). The two are compared in terms of cost of energy and energy storage mechanism. Moreover, the effect of ambient temperature on the solar PV module is analyzed. In addition, a detailed analysis on using solar axis tracking to increase the power generation is also presented. The extent to which the cell surface temperature and orientation of the solar module which determine the power generation is modeled. Since Tanzania has the possibility to utilize the solar irradiance in the Coastal region to generate solar power, and therefore it is selected as the case study in this paper.

Abstract Rural communities in developing countries lack access to electricity due to high costs of grid extension. This paper proposes a hybrid system of renewable energy (HRES) as solution. The HRES consists of solar, wind, and battery energy storage (BES). The village called Ngw’amkanga in Shinyanga region of Tanzania, East Africa is selected as a case study. An iterative method to determine the size of wind and solar photovoltaic (PV) generation required assuming a project life of 25 years at minimum annualised cost of the system ( ) is proposed. The project life time is fixed on the life span of the main component, solar PV at 25 years. The iteration is undertaken to meet the energy demand ensuring the BES is charged throughout the year. The required BES has three days of autonomy, and a maximum battery depth of discharge 50%. At minimum ACS, the HRES comprises only solar PV and BES, due to insufficient wind at this site. The levelised cost of energy ( ) of the HRES is 27.18 p/kWh, paid by the users. This is cheaper than the grid connected small power producers of Tanzania as discussed in the paper. Keywords: Renewable energy; wind energy generation; solar photovoltaic; annualised cost of the system; levelised cost of energy