Low cost monitoring and control is essential for small renewable power systems. While
large renewable power systems can use existing commercial technology for monitoring and
control, that is not cost-effective for small renewable generation. Such small assets require
cost-effective, flexible, secure, and reliable real-time coordinated data monitoring and
control systems. Supervisory control and data acquisition (SCADA) is the perfect technology
for this task. The available commercial SCADA solutions are mostly pricey and
economically unjustifiable for smaller applications. They also pose interoperability issues
with the existing components which are often from multiple vendors. Therefore, an open
source SCADA system represents the most flexible and the most cost-effective SCADA solution.
This thesis has been done in two phases. The first phase demonstrates the design
and dynamic simulation of a small hybrid power system with a renewable power generation
system as a case study. In the second phase, after an extensive study of the proven
commercial SCADA solutions and some open source SCADA packages, three different secure,
reliable, low-cost open source SCADA options are developed using the most recent
SCADA architecture, the Internet of Things. The implemented prototypes of the three open
source SCADA systems were tested extensively with a small renewable power system (a
solar PV system). The results show that the developed open source SCADA systems perform
optimally and accurately, and could serve as viable options for smaller applications
such as renewable generation that cannot afford commercial SCADA solutions
