Abstract
Flexible charging and discharging of battery energy storage systems (BESSs) and reactive power compensation of photovoltaic (PV) inverters can be coordinated to support distribution network operation. Given the feature of their rapid response, local droop control is employed to address random fluctuations of renewable outputs and loads. Therefore, this paper proposes a three-stage hierarchical coordination method of BESS-PV scheduling and droop control, aiming to minimize network power loss, voltage deviation, and operating costs. Considering capacity limitation and energy temporal coupling, an optimal state of charge (SoC) interval for one day is determined in a day-ahead stage. Then, the P-V droop control functions of BESSs and the Q-V droop control functions of PV inverters are optimized hourly, while satisfying the day-ahead SoC interval, to enable efficient real-time local control. Thus, the central day-ahead SoC interval management, the central hourly droop control function scheduling, and the local real-time droop control are hierarchically coordinated. A general model of five-segment droop control functions with reduced binary variables is introduced, and accordingly, a partial segment reduction technique and a penalized linear approximation solution method are developed. The proposed method is tested and compared with other methods. Simulation results verify its high performance in improving the network operational efficiency. © 2025 IEEE.
| Original language | English |
|---|---|
| Pages (from-to) | 2565-2576 |
| Number of pages | 12 |
| Journal | IEEE Transactions on Industrial Informatics |
| Volume | 22 |
| Issue number | 3 |
| Online published | 29 Dec 2025 |
| DOIs | |
| Publication status | Published - Mar 2026 |
Funding
This work was supported in part by the National Natural Science Foundation of China under Grant 52307091, in part by the Natural Science Foundation of Jiangsu Province under Grant BK20230952, in part by China Postdoctoral Science Foundation under Grant 2023M740976, in part by the JC STEM Lab of Future Energy Systems under Grant 20250039, in part by Global STEM Professorship under Grant GSP313, and in part by Australian Research Council under Grant DE240100059.
Research Keywords
- Battery energy storage system (BESS)
- droop control
- partial segment reduction
- penalized linear approximation
- state of charge (SoC) interval management
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