Abstract:
From the past decade there always have been improvement in the power system
decentralization to achieve optimal microgrid operation whenever there is an increased
integration of renewable energy resources. To improve power quality and environmental
protection is a challenging task in a bulk power system when system is complex.
Following these objectives, the idea of decentralized microgrids have been deployed over
the time and several modules in actual have been prepared in countries like USA, UK,
Germany, Japan, and others. In this perspective these microgrids have been investigated
completely in terms of technical and economic benefits and it is concluded that the
research in this area will take the existing small scale decentralized microgrids to large
scale power generation in future.
This thesis presents a hybrid energy storage based smart energy management system for
the optimal microgrid operation (HesSEMS). The HesSEMS consists of battery energy
storage system with supercapacitors management module, separate power forecasting
module and scheduled operational optimization module. The weather prediction module
at one day ahead power forecasting across different time steps forms input to the
HesSEMS. Then optimization module deploys the methodology of mixed integer linear
programming (MILP) to reduce the cost of power that is decided according to the load,
PV generation and state of charge (SOC) of HESS. The accident is considered here as a
natural disaster which is predictable. To get the desired results of the system MATLAB/
Simulink is used. The mixed integer linear programming code is designed in MATLAB
whereas Simulations gives the beneficial results regarding the operation of this system.
