PI+Reset Scheme Boosts BESS Economic Dispatch Speed and Accuracy
New distributed control cuts battery network costs with faster convergence and zero overshoot.
A new paper on arXiv (arXiv:2607.14508) tackles the economic dispatch (ED) problem for grid-connected battery energy storage networks (BESS). The challenge: reducing operational costs that stem from internal power consumption, battery capacity degradation, and electricity trading with the utility grid. The team—Yalin Zhang, Zhongxin Liu, Fuyong Wang, and Zengqiang Chen—designs a distributed solution based on discrete-time multi-agent systems (MAS) with a novel proportional-integral (PI) controller. Two consensus controllers are used: one drives inverters to equalize marginal costs, another estimates the average power mismatch to route energy efficiently.
Unlike existing schemes using proportional (P) controllers, the PI controller adds a reset mechanism: the integral term resets to zero whenever the proportional term changes sign. This prevents overshoot while speeding up convergence and improving control accuracy. The algorithm is analyzed under state-of-charge (SoC) level constraints, and simulation cases confirm its effectiveness and progressiveness. The work is published in the International Journal of Control (doi:10.1080/00207179.2025.2551746). For energy grid operators and BESS developers, this offers a practical way to lower costs and improve response times in dynamic energy markets.
- Uses discrete-time multi-agent systems with a PI controller enhanced by a reset mechanism for battery network economic dispatch.
- Improves convergence speed and control accuracy over traditional P-only controllers, with zero significant overshoot.
- Simulation validated under state-of-charge constraints, targeting reduced costs from battery wear and grid electricity trading.
Why It Matters
Faster, cheaper BESS dispatch means lower energy costs and better grid stability for renewable-heavy power systems.