Department of Informatics and Systems

Permanent URI for this collection

Now showing 1 - 1 of 1

Optimal scheduling of microgrid under uncertainty
(University of Management and Technology Lahore, 2017) Asif Niaz
The significance of a continuous electric supply in today's world is undeniable. However, we are observing failures in this regard in our country due to shortage of electricity. The main focus of my thesis is to use micrgrid on distribution level the meet energy demand. In microgrid, electricity sources used are solar power, wind power and conventional generator. However solar and wind power are uncertain due which conventional optimization algorithm can not provide accurate scheduling of microgrid. Therefore a robust optimization approach has been use to optimize this microgrid scheduling procedure. Additionally a mathematical model using a robust optimization technique for measuring the uncertainty of microgrid system is also developed. The result shows the validity of the proposed mathematical model. However, the huge uncertainties in the supply of this energy can make it impracticable. The use of robust optimization brings in accurate and precise results under the uncertain conditions. The use of robust optimization facilitates the use of adding the uncertainties to the said problem in order to obtain the accurate results which in result provide a better cost optimization. This cost effective technique renders greater profits for the energy providing entity.