First Name
Xiao
Last Name
Qi
Dataset Entries from this Author
High-penetrated offshore wind farms (OWFs) to power systems result in low inertia and bring large disturbances. To enhance the frequency security, this paper proposes a frequency security constrained multi-stage dispatch problem by inserting the dynamic frequency process into the unit commitment (UC) and economic dispatch (ED) framework. Firstly, the transient frequency response model of power systems considering the active frequency support of OWFs is established. Then, a transient frequency security constrained model is built through discretization and linearization methods.
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High-capacity and large-sized batteries are widely employed in electric vehicles and energy storage systems. The surface temperature (ST) field of these batteries is usually maldistributed and unmeasurable in practice, which brings great challenges to temperature safety monitoring. Thus, this paper rebuilds the lumped thermal model and proposes a KF (Kalman filter)-MLP (multi-layer perception) joint estimation algorithm to reconstruct the two-dimensional (2D) ST field of lithium-ion batteries (LIBs).
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In high renewable energy sources penetrated multiple microgrids (MMGs), conventional fast timescale load frequency control (LFC) and slow timescale economic dispatch become much less economically efficient. In this paper, the economy-oriented LFC problem of nonlinear MMGs is framed and a distributed optimal disturbance rejection control method is proposed to address this problem. In particular, this method has excellent anti-disturbance capability in dealing with power imbalances, critical parameter variations, and measurement noises.
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With the increasing penetration of renewable energy sources in power systems, the distributed optimal control (DOC) method has been regarded as an effective way to integrally solve the load frequency control and economic dispatch problem in real time. Considering the multiple physical constraints and time delay of power systems, this paper proposes two novel DOC methods which are practical and applicable to engineering.
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Renewable energy is boosting the deployment of microgrids (MGs) with stochastic and low inertia nature. To improve the operational efficiency of MGs while guaranteeing frequency security, a three-stage stochastic unit commitment problem is proposed, where renewable energy can be deloaded. In the first stage, the diesel generators (DGs) are scheduled, responding to uncertainties of loads and photovoltaic generator output. In the second stage, the outputs of DGs are optimized to reduce the operational cost under uncertain disturbances.
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