Solution of Optimized Energy Dispatch Schedule of Distributed Energy Resources in Micro-Grid
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Date
2022
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Department of Electrical Engineering, NITS
Abstract
Recent advances in optimizing micro-grid operation demand attention from researchers and practitioners throughout the world. Micro-grid happens to be the backbone of future decentralized power systems. As the majority of the MG are mainly supplied by Distributed Energy Resources (DER), their performance greatly depends on the satisfactory functioning of these DER. Due to uncertainty in the prediction of power from the DER, the MG now a day is supported by grid integration and energy storage sources. The operational dynamics of each component of the microgrid are unique and it makes the energy management in MG complex. Another major factor that complicates the energy management is the cost of operation of DER. With the present technology, the cost of operation of MT and FC is relatively higher as compared to the average rate of energy in the energy market. Therefore, it is important to define an optimal operational planning problem for the DER in MG. In view of the above, in this thesis work, the environmental-economic scheduling of DER in MG is studied. The problem is formulated on a dynamic non-linear optimization problem and is solved using recently developed AEFA. Programs are developed in MATLAB 2019b and executed in HP Elite Desk 800 G1 SFF PC. Several case studies are performed several case studies are performed to verify the effectiveness of the proposed model. The performance of the applied AEFA is verified by a suitable comparative study in this thesis work. The result demonstrates the effectiveness of the proposed model. The study also yields important information regarding the load requirement for MT for economic sustainability.