AI 中文总结
研究并网电池储能系统网络离散时间经济调度问题，基于离散时间多智能体系统设计含新型PI控制器的分布式方案，通过MC共识控制器等实现调度，相比现有P控制器方案，加速收敛且提高精度，仿真验证算法有效。
AI 中文摘要
本文研究了带有能量路由器（ER）的电池储能系统（BESS）网络的离散时间经济调度（ED）问题。BESS网络运营成本不断增加，源于各电池内部功耗和容量退化，以及与公用电网（UG）的购售电交易金额。为解决该ED问题并降低成本，设计了基于离散时间多智能体系统（MAS）的分布式解决方案，采用新型比例积分（PI）控制器。设计了边际成本（MC）共识控制器驱动逆变器，还设计了共识控制器估计平均功率失配并据此得出路由算法。与现有带比例（P）控制器的分布式方案相比，带复位机制的PI控制器能在比例项变号时使积分项从0累积，加速了方案收敛速度，提高了控制精度且无明显超调。给出了复位机制的启用条件并分析了算法在荷电状态（SoC）水平约束下的性能。相关仿真案例验证了所设计算法的有效性和先进性。
英文摘要
This article investigates the discrete-time economic dispatch (ED) problem of a battery energy storage system (BESS) network with an energy router (ER). The continuous increase in operational cost of a BESS network is caused by the internal power consumption and capacity degradation of each battery. In addition, the transaction amount of purchasing or selling electricity from the utility grid (UG) also becomes one of the sources that constitute this cost. Therefore, in order to address this ED problem and reduce costs, we design a distributed solution based on discrete-time multi-agent systems (MAS) with a novel proportional integral (PI) controller. In this scheme, a marginal cost (MC) consensus controller is designed to drive the inverter. In addition, a consensus controller is designed to estimate the average power mismatch, resulting in a routing algorithm based on this. Compared with existing distributed schemes with proportional (P) controllers, using a PI controller with a reset mechanism ensures that the integral term accumulates from 0 when the proportional term changes sign. Driven by this method, the convergence speed of the scheme is accelerated, while the control accuracy is also improved without causing significant overshoot. Provided the enabling conditions for the reset mechanism and analyzed the algorithm performance under SoC level constraints. The related simulation cases verify the effectiveness and progressiveness of the designed algorithm.
DOI：10.1080/00207179.2025.2551746
