下垂控制电池储能系统中基于统一SoC相对变化率的分布式二次频率控制与SoC均衡
Distributed Secondary Frequency Control and SoC Balance for Droop-Controlled BESSs with A Unified SoC Relative Variation Rate
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中文总结 AI 辅助
针对电池容量衰减导致下垂控制失效的问题，提出基于SoC水平比率的功率分配新下垂控制器，并设计分布式二次控制器实现SoC均衡、精确功率分配和频率恢复，经IEEE57系统仿真验证。
中文摘要 AI 辅助
荷电状态（SoC）均衡、功率分配和频率恢复是电池储能系统（BESSs）的常见控制目标。然而，通过现有下垂控制器进行功率分配所引发的SoC均衡方案可能导致电池单元的容量参数与下垂系数不相等，这是电池容量衰减的结果。在此限制下，以往基于容量的下垂控制器和二次控制器不再适用于解决由此问题引起的功率分配不精确和频率恢复不准确。因此，本文设计了一种基于当前SoC水平比率的功率分配方案，以诱导新的下垂控制器，并确保SoC同时降至0。为了以分布式方式恢复频率并获得SoC水平比率，基于多智能体系统（MASs）设计了分布式额定频率控制器、SoC平均估计器和功率分配控制器，分别采用渐近和有限时间两种方式。在渐近方案中，SoC估计器的稳态性能是可调节的，功率分配和频率恢复为零误差。在有限时间方案中，充分分析了参数对收敛时间的影响，并提供了一些保守的计算方法。在改进的IEEE57节点系统上设计了多个时域仿真示例，以验证渐近和有限时间方案的分布性。
英文摘要
The State of Charge (SoC) balance, power sharing, and frequency restoration are common control objectives of battery energy storage systems (BESSs). However, the SoC balance scheme induced by the power allocation through existing droop controllers can cause the capacity parameters of battery cells to be unequal to the droop coefficient, which is the result of battery capacity degradation. Under this limitation, previous capacity based droop controllers and the secondary controllers no longer suitable to address the imprecise power sharing and frequency restoration caused by this problem. Therefore, a power allocation scheme based on the current SoC level ratio is designed to induce a new droop controller and ensure that the SoC simultaneously drops to 0. In order to restore frequency in a distributed manner and obtain SoC level ratio, a distributed nominal frequency controller, SoC average estimator, and power sharing controller are designed based on multi-agent systems (MASs) in both asymptotic and finite time manners. In the asymptotic scheme, the steady-state performance of the SoC estimator is adjustable, and power sharing and frequency restoration are zero errors. In the finite time scheme, the influence of parameters on convergence time is well analyzed, and some conservative calculation methods are provided. Several time-domain simulation examples are designed on an improved IEEE57 bus system to verify the distribution of asymptotic and finite time schemes.
发表机构
- College of Artificial Intelligence, Nankai University（南开大学人工智能学院）
- Tianjin Key Laboratory of Interventional Brain-Computer Interface and Intelligent Rehabilitation, Nankai University（南开大学天津市介入式脑机接口与智能康复重点实验室）
机构由 AI 辅助整理，请以论文原文为准。
