Abstract
Due to the intrinsic intermittent nature of renewable energy source, their utility in a microgrid can be enhanced by adding an energy storage system (ESS). Using a lookup table type MPC (Model Predictive Control), this study presents an optimal charging and discharging algorithm for the ESS which consists of multiple energy storage unit (ESU). The algorithm is designed to enable the integration of renewable energy and an ESS to dispatch scheduled power while performing SoC (State of Charge) balancing for each ESU as well as satisfying the constraints on SoC and current limits in power converters. Simulation and experimental results using ultra-capacitors as ESUs in a DC microgrid are presented here to show the effectiveness of the proposed charging and discharging algorithm.
| Original language | English |
|---|---|
| Article number | 8945168 |
| Pages (from-to) | 12897-12906 |
| Number of pages | 10 |
| Journal | IEEE Access |
| Volume | 8 |
| DOIs | |
| State | Published - 2020 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- DC microgrid
- Energy storage system
- capacity firming
- model predictive control (MPC)
- optimal charging/discharging algorithm
- renewable energy integration
- state of charge constraint
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