Optimal planning grid-connected energy storage is a M.Tech project topic for Electrical Engineering. It gives students a clear starting point for research, implementation planning, and documentation.
Optimal planning grid-connected energy storage Project Details
| Abstract |
Integrating renewable energy sources (RESs) into current power grid systems poses serious operational difficulties because of their intermittent and stochastic nature. Energy Storage Systems (ESSs) that are integrated into power grids by way of the complimentary and supportive interconnection of RESs provide us with tools to decrease operational difficulties when working with a variety of RESs. Therefore, this study aims to develop an effective wind-energy storage system scheduling framework for the mountainous regions that have both high wind-energy potential and intermittent irrigation pumping demands. To cope with the uncertainties of energy generated by both wind and solar resources, a scenario-free stochastic approach is adopted due to its simplicity and tractability,
along with the ability to scale and model copious uncertainties. An integrated optimization approach to minimizing the total life cycle comprehensive cost (COC) has been constructed through the synergistic approach of wind energy, pumping unit, and multiple storage elements. Furthermore, the model possesses the capabilities of start-up and shut-down losses, optimized flow distribution, operational expenses of the Pumping Station, and optimized energy storage capacity. Also, a comparison of a single-battery system with a hybrid battery-hydrogen storage system is used to demonstrate that it is feasible to utilize the hybrid solution to minimize the COC by 5.4% and decrease the operational burden of the battery components and the Pumping Station. The
developed reliability model of wind energy generation also enhanced the lifecycle cost optimization of the system. This study, therefore, highlights the financial and technological benefits of hybrid storage systems integrated into renewable energy systems.
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| Reference Paper |
Optimal planning of grid-connected energy storage and renewable energy sources integration using an improved whale algorithm |
| Domain |
Electrical Engineering |
| Sub-Domain |
Renewable Energy Systems / Battery Energy Storage |
| PDF Download |
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