Optimal Energy Storage scheduling of Microgrid by Using Ant colony optimization

Khushboo Sharma, Assistant Professor, Electrical Engineering, Vivekananda Global University, Email Id-khushboo.sharma@vgu.ac.in, Jaipur, India
Prabhu A, Associate Professor, Department of Computer Science and Information Technology, Jain (Deemed to be University), Email Id-prabhu.a@jainuniversity.ac.in, Bangalore, India
Ms. Sheryl Gupta, Scholar, Department of Management, Sanskriti University, Email Id-sherylg.somc@sanskriti.edu.in, Mathura, Uttar Pradesh, India
Kuldeep Singh Kulhar, Professor, Civil Engineering, Vivekananda Global University, Email Id-k.singh@vgu.ac.in, Jaipur, India

^* Corresponding Author: khushboo.sharma@vgu.ac.in

Abstract

Energy storage device such as battery is playing very important aspect in microgrid since it can handle the bidirectional power flow to stabilize the power quality issues. Renewable energy sources based microgrids are becoming popular now a day because of those arte main networks which are playing key role in reduction of global warming as well as main power sources for many areas in world wide. The PV and wind based power generation systems are wildly used sources in microgrids. Unfortunately, these sources are depends on whether condition and cannot have a stable output to supply quality power to consumers. Therefore an storage device is must to incorporate in such kind of microgrids. Hence it is very important to have an optimization of scheduling a day-ahead energy storage system in case of renewable energy sources based microgrid power supply system. Ant colony optimization is one of the best optimization techniquesto get feasible solution for complexity networks such as microgrids. The data demonstrate the utilization of ant colony optimization technique in order to minimize microgrid expenses under a time-of-use tariff system. The findings also indicate the influence of the microgrid’s self-reliance and the storage system’s capability on the energy expenses of the microgrid.