The power conversion system (PCS) serves as a crucial intermediary between energy storage system and the power grid. Presently, PCS predominantly employs two control strategies: grid-following (GFL) control and grid-f...
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ISBN:
(数字)9798331541606
ISBN:
(纸本)9798331541613
The power conversion system (PCS) serves as a crucial intermediary between energy storage system and the power grid. Presently, PCS predominantly employs two control strategies: grid-following (GFL) control and grid-forming (GFM) control. Traditional GFL converters primarily rely on phase-locked loops (PLL) to achieve synchronization with the grid, behaving as controlled current sources, which are incapable of actively supporting grid frequency and voltage. Conversely, GFM converters actively sense disturbance and possess the capability to actively support grid frequency and voltage. However, for multi-PCS grid-connected system, there remains a lack of in-depth investigation into the rational design of the configuration ratio (CR) between two types of converters. This paper investigates multi-PCS grid-connected system based on GFL/GFM control by considering different CRs. Initially, the operational principles and control strategies of multi-PCS grid-connected system are analyzed, elucidating the mathematical models of multi-PCS and their GFL/GFM controllers. Subsequently, a 6-PCSs grid-connected system is employed as an example with seven different CRs simulated in PSCAD/EMTDC, which is disturbed by load disturbance and single-phase ground fault. Finally, the simulation results are compared to obtain the optimal configuration ratio for 6-PCS grid-connected system under corresponding condition.
Load peak and valley periods as the key scheduling scenarios, the effectiveness of wind power prediction becomes extremely important, in order to minimize the impact of wind power on the powersystem due to prediction...
Load peak and valley periods as the key scheduling scenarios, the effectiveness of wind power prediction becomes extremely important, in order to minimize the impact of wind power on the powersystem due to prediction errors, a short-term prediction method of wind farm cluster power considering risk scenarios and improved loss function is proposed. Firstly, the coupled correlation mechanism between meteorological type and load demand is explored, and the load risk scenario and meteorological correlation are derived. Second, according to the risk scenarios of load demand, the traditional loss function is improved and used to train the power prediction model under the risk scenarios. Then, a dynamic division strategy of wind farm clusters considering the meteorological similarity of the previous day is proposed to obtain the sub-clusters of similar output. Finally, the model with improved weighted loss function is used to predict the wind power for different regional sub-clusters and extended to wind farm clusters. The above method is validated using the wind farm clusters in West Inner Mongolia, China. And the results show that in the low-risk load scenario, the accuracy of the model with improved loss is higher, and the accuracy decreases with the increase of the load risk level, but the overall risk indexes are significantly lower than the method with traditional loss function, which proves the validity of the proposed method.
With the continuous increase penetration of new energy, the integration of grid-following (GFL) converter is prone to frequency stability issue, while the utilization of grid-forming (GFM) converter with active suppor...
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In order to test the travelling wave fault location devices that widely used in powersystem, a simulation model that can reflect the transformer characteristics of travelling waves on the transmission channel should ...
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With the increase of wind and solar renewableenergy penetration in powersystem, the frequency control ability of powersystem completely depending on traditional power supply has weakened. This actuality requires th...
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The Integrated energysystem (IES) multifaceted load forecasting technology is a critical foundation for ensuring the balance and stable operation of the system supply and demand. Due to the complex coupling relations...
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ISBN:
(数字)9798350375794
ISBN:
(纸本)9798350375800
The Integrated energysystem (IES) multifaceted load forecasting technology is a critical foundation for ensuring the balance and stable operation of the system supply and demand. Due to the complex coupling relationships among various loads, this paper constructs a regional IES multifaceted load forecasting model based on the Grey Relation Analysis (GRA) method and the Bi-directional Long Short-Term Memory (BI-LSTM) neural network to delve into the coupling characteristics between electric, thermal, and cooling loads. Firstly, the Grey Relation Analysis is employed to analyze the correlation of multifaceted loads, determining the prediction priority of multifaceted loads in the integrated energysystem. Secondly, based on the exploration of coupling characteristics among multifaceted loads, the k-means clustering algorithm is applied to partition loads with the highest priority into sets with similar fluctuations. Finally, for each load scenario set, a hierarchical prediction strategy is implemented using the BI-LSTM network for scenario set prediction modeling. Case study results indicate that the proposed forecasting model exhibits high prediction accuracy and effectively handles the intense fluctuations in loads, meeting the operational requirements for the system's safety and stability.
The charge-discharge between distributed generations and electric vehicles (EVs) will be an important component of the future development of EVs. In this paper, the optimal configuration ratio (CR) of grid-following/f...
The charge-discharge between distributed generations and electric vehicles (EVs) will be an important component of the future development of EVs. In this paper, the optimal configuration ratio (CR) of grid-following/forming (GFL/GFM) control for high-penetration renewableenergy integrated system containing EV is investigated: (1) The mathematical models for the grid-connected inverter and GFL/GFM control are elaborated, and five simulation cases with different CRs [CR: (100%, 75%, 50%, 25%, 0%)] are simulated in PSCAD/EMTDC. (2) The optimal CR is obtained through the comparative analysis of simulation results of different CRs under load disturbance /single phase-to-ground fault/island operation mode with corresponding evaluation indicators.
Currently, the power grid is carrying out the standardized design and application of 220kV spare power automatic switching equipment. It is more difficult to carry out the on-site standby automatic switching function ...
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The high-precision reduced order impedance model can significantly reduce the computation burden in the small-signal oscillatory instability detection process of grid-tied renewableenergy dominated microgrids (REMGs)...
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The high percentage of renewableenergy sources presents unprecedented challenges to the flexibility of powersystems, and planning for the system's flexibility resources has become a necessary research area. Thus...
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