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CONSTRAINED DISCRETE PREDICTIVELY CONTROLLED DISTRIBUTED ENERGY STORAGE EVALUATION IN A MULTI-BUS SYSTEM

机译:在多总线系统中约束离散地预测控制分布式能量存储评估

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摘要

The emergence of smart grids allows a novel network structure with the deployment of distributed energy storage systems (D-ESS). These storage devices act as viable alternatives to fix supply-demand mismatches, especially with ample penetrations of renewable power systems. We report the exploratory evaluation of distributed energy storage along machine load buses in a hybrid system. Two storage technologies, i.e., superconducting magnetic energy storage (SMES) and flywheel energy storage (FES), are considered separately in this paper, by virtue of their high power densities, swift discharge-charge schedules and expeditious time response. Detailed models of SMES and FES are developed, based on the generic P-Q control scheme of energy storage systems (ESS), besides capturing the DC link dynamics along their grid side converters. A constrained discrete predictive control (CDPC) strategy is adopted in regulating the active power trajectories of the energy storage. Bus frequency and voltage controllers translate the corresponding mismatches into reference power (P-Q) commands. Extensive stability strengthening apropos frequency regulation, oscillation damping, power smoothing and voltage ride through and control is acquired when the system is tested against an intense short circuit. All mathematical analysis and simulations demonstrate that the placement of D-ESS along the generator buses gives better dynamic system performance than load bus-oriented D-ESS deployment.
机译:智能电网的出现允许新颖的网络结构进行分布式能量存储系统(D-ESS)。这些存储设备充当可行的替代方案,以修复供需不匹配,特别是具有充分的可再生电力系统的渗透。我们报告了混合系统中的机器负载总线对分布式能量存储的探索性评估。通过其高功率密度,SWIFT放电时间表和迅速的时间响应,两种存储技术,即超导磁能存储(SME)和飞轮能量存储(FES)和飞轮能量存储(FES)和飞轮能量存储(FES)。除了沿其网格侧转换器捕获直流链路动态之外,基于储能系统(ESS)的通用P-Q控制方案,开发了SME和FE的详细模型。通过调节能量储存有源功率轨迹采用约束的离散预测控制(CDPC)策略。总线频率和电压控制器将相应的不匹配转换为参考功率(P-Q)命令。广泛的稳定性强化APROPOS频率调节,振荡阻尼,功率平滑和电压乘坐通过和控制在对阵强度短路时获得。所有数学分析和仿真都表明D-ESS沿发电机总线的放置提供比加载总线导向的D-ess部署更好的动态系统性能。

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