Distributed equalisation strategy for multi-battery energy storage systems
| Autor: | Chunju Fan, Feilong Fan, Xiaodong Zheng, Wentao Huang, Nengling Tai |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
Mathematical optimization
Iterative method Computer science state-of-charge imbalance issue SOC balance process Energy Engineering and Power Technology quadratic programming iteration steps MBESS Battery management systems secondary cells distributed SOC balance step RT-LAB distributed equalisation strategy Karush-Kuhn-Tucker optimality conditions lifetime management strategy Quadratic programming battery management systems convex quadratic optimisation problem equitable operation optimisation model renewable energy sources approximation theory Approximation theory business.industry DMS General Engineering power generation dispatch distributed management systems Battery energy storage system convex programming optimal dispatching strategy Renewable energy equitable approximation method lcsh:TA1-2040 Convex optimization iterative methods business multibattery energy storage systems uncertainty problem lcsh:Engineering (General). Civil engineering (General) hardware-in-the-loop simulation system Software |
| Zdroj: | The Journal of Engineering (2019) |
| DOI: | 10.1049/joe.2018.8684 |
| Popis: | Multi-battery energy storage systems (MBESSs) are widely adopted to overcome the uncertainty problem of renewable energy sources. However, state-of-charge (SOC) imbalance issue of MBESSs brings great challenges to the optimal dispatching strategy and the lifetime management strategy for the MBESS. This study proposes a distributed equalisation strategy for the MBESSs to solve the stated problem. An equitable operation optimisation model is proposed in the distributed equalisation strategy. The equitable optimisation model can be simplified as a convex quadratic optimisation problem. An equitable approximation method is utilised to solve the convex quadratic optimisation problem according to the Karush–Kuhn–Tucker optimality conditions. Based on the equitable approximation method, the SOC balance process is distributed into different iteration steps. The iteration of the SOC balance process is implemented by the communication system connecting the distributed management systems (DMSs). The distributed SOC balance step is implemented by the DMSs of the batteries. The proposed strategy is validated by a hardware-in-the-loop simulation system based on the RT-LAB. Test results show that the proposed strategy ensure the SOC balance and improve the robustness of the MBESS. |
| Databáze: | OpenAIRE |
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