Coordinated Synthetic Inertia Control Provision from Distributed Energy Resources and Energy Storage Systems

S. Nema, Vivek Prakash, R. Bhakar, H. Pandžić
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引用次数: 3

Abstract

Large-scale integration of Distributed Energy Resources (DERs) into power grids reduces the system inertial response. Reduced inertial response results in high Rate-of-Change-of-Frequency (RoCoF) and poses operational challenges regarding the grid frequency stability. The need for Fast Frequency Response (FFR) like Synthetic Inertia Control (SIC) is recognized globally as one of the potential solutions to this challenge. This paper proposes a novel SIC control strategy in an islanded microgrid framework with DERs like wind, photovoltaic, Energy Storage Systems (ESS), Diesel generator and inverters. Particle Swarm Optimization (PSO) is applied to tune the SIC droop, the damping and inverter the time constant. Furthermore, a PID controller is implemented for fine tuning of the synthetic inertia constants. The proposed approach is examined in a control area with distinct degrees of DERs and load. Case studies and numerical results demonstrate about 94% improvement in RoCoF and 72% improvement in the frequency nadir.
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分布式能源与储能系统的协同综合惯性控制
分布式能源在电网中的大规模集成降低了系统的惯性响应。惯性响应的减少导致了高频率变化率(RoCoF),并对电网频率稳定性提出了操作挑战。对快速频率响应(FFR)的需求,如合成惯性控制(SIC),被全球公认为是应对这一挑战的潜在解决方案之一。本文提出了一种具有风力、光伏、储能系统、柴油发电机和逆变器等分布式电源的孤岛微电网控制策略。采用粒子群算法(PSO)对SIC的下垂、阻尼和逆变器的时间常数进行调节。此外,还实现了PID控制器对合成惯性常数进行微调。在具有不同程度的der和负载的控制区域中对所提出的方法进行了检验。案例研究和数值结果表明,RoCoF改善了94%,频率最低点改善了72%。
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