摘要 :
With the increase of wind power penetration, the characteristics of the wind farm have brought a significant impact on the security of power system. It is urgent to study how to reduce the risk of cascading failures while improvin...
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With the increase of wind power penetration, the characteristics of the wind farm have brought a significant impact on the security of power system. It is urgent to study how to reduce the risk of cascading failures while improving the environmental benefits. In this paper, a cascading failure model containing wind farm is proposed, which considers wind power characteristics, such as the structure of wind farm, the randomness of power of wind farm, the virtual inertia control of wind turbine, and the disconnection response of wind turbine after short-circuit faults. In order to identify the key factors of blackout, decision tree is used to analyze results generated from this blackout model. Preventive control is adopted to decrease the probability or effect of critical attributes that can be found in decision tree. The blackout risk of IEEE 30 test system integrated with wind farm is analyzed. Several key factors, such as disconnection of wind turbines from the grid and certain transmission lines, are identified by decision tree. Besides, the effectiveness of the virtual inertial control of wind turbine, reactive power compensation and line construction is verified by simulation.
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摘要 :
The interconnection of large-scale distributed generation with power grids brings about significant impacts on the grid patterns, the topologies and the network performances of the future power grids. In this paper, these impacts ...
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The interconnection of large-scale distributed generation with power grids brings about significant impacts on the grid patterns, the topologies and the network performances of the future power grids. In this paper, these impacts are investigated by applying the complex network theory. We analyze and verify some existing statistical indices used in bulk power grids and propose some basic principles for the research on the impacts of distributed generation on the topological characteristics of power grids. Consequently, two groups of novel indices are put forward, including the structure index based on operational conditions and the operational index based on network structures. Finally, some illustrative tests are carried out on the IEEE 57 bus system and the results validate the proposed indices.
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摘要 :
The interconnection of large-scale distributed generation with power grids brings about significant impacts on the grid patterns, the topologies and the network performances of the future power grids. In this paper, these impacts ...
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The interconnection of large-scale distributed generation with power grids brings about significant impacts on the grid patterns, the topologies and the network performances of the future power grids. In this paper, these impacts are investigated by applying the complex network theory. We analyze and verify some existing statistical indices used in bulk power grids and propose some basic principles for the research on the impacts of distributed generation on the topological characteristics of power grids. Consequently, two groups of novel indices are put forward, including the structure index based on operational conditions and the operational index based on network structures. Finally, some illustrative tests are carried out on the IEEE 57 bus system and the results validate the proposed indices.
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摘要 :
The interconnection of large-scale distributed generation with power grids brings about significant impacts on the grid patterns, the topologies and the network performances of the future power grids. In this paper, these impacts ...
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The interconnection of large-scale distributed generation with power grids brings about significant impacts on the grid patterns, the topologies and the network performances of the future power grids. In this paper, these impacts are investigated by applying the complex network theory. We analyze and verify some existing statistical indices used in bulk power grids and propose some basic principles for the research on the impacts of distributed generation on the topological characteristics of power grids. Consequently, two groups of novel indices are put forward, including the structure index based on operational conditions and the operational index based on network structures. Finally, some illustrative tests are carried out on the IEEE 57 bus system and the results validate the proposed indices.
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摘要 :
The interconnection of large-scale distributed generation with power grids brings about significant impacts on the grid patterns, the topologies and the network performances of the future power grids. In this paper, these impacts ...
展开
The interconnection of large-scale distributed generation with power grids brings about significant impacts on the grid patterns, the topologies and the network performances of the future power grids. In this paper, these impacts are investigated by applying the complex network theory. We analyze and verify some existing statistical indices used in bulk power grids and propose some basic principles for the research on the impacts of distributed generation on the topological characteristics of power grids. Consequently, two groups of novel indices are put forward, including the structure index based on operational conditions and the operational index based on network structures. Finally, some illustrative tests are carried out on the IEEE 57 bus system and the results validate the proposed indices.
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摘要 :
The hybrid control theory has been applied into the power system's voltage control, and the hybrid automatic voltage control (HAVC) has been implemented in this paper. The HAVC system can improve the power system's voltage dynamic...
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The hybrid control theory has been applied into the power system's voltage control, and the hybrid automatic voltage control (HAVC) has been implemented in this paper. The HAVC system can improve the power system's voltage dynamic performance, enhance the voltage stability, and decrease the power grid's losses. Firstly introduces the model of HAVC system has been introduced, and the HAVC systemic framework has been designed for the 500kV power grid of Northeast China (PGNC). Also the power plant's HAVC control device has been implemented due to the practical instance. The physical dynamic simulations proved the validity and efficiency of the HAVC system's framework and device.
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摘要 :
The hybrid control theory has been applied into the power system's voltage control, and the hybrid automatic voltage control (HAVC) has been implemented in this paper. The HAVC system can improve the power system's voltage dynamic...
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The hybrid control theory has been applied into the power system's voltage control, and the hybrid automatic voltage control (HAVC) has been implemented in this paper. The HAVC system can improve the power system's voltage dynamic performance, enhance the voltage stability, and decrease the power grid's losses. Firstly introduces the model of HAVC system has been introduced, and the HAVC systemic framework has been designed for the 500kV power grid of Northeast China (PGNC). Also the power plant's HAVC control device has been implemented due to the practical instance. The physical dynamic simulations proved the validity and efficiency of the HAVC system's framework and device.
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摘要 :
As a long-distance transmission system, Sichuan system has an undesirable power flow distribution, which has seriously infringed on its security. In order to improve its stability, a dynamic model considering external disturbances...
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As a long-distance transmission system, Sichuan system has an undesirable power flow distribution, which has seriously infringed on its security. In order to improve its stability, a dynamic model considering external disturbances is proposed. Then based on PWM technology, a novel hybrid control strategy for UPFC is built. A nonlinear H_∞ law is designed for control phase of the series converter. While for the other three control variables (modulation ratios and control phase), conventional PI control is adopted. Furthermore, based completely on the locally measurable variables, the proposed controller could be very practical. Simulation studies have verified its effectiveness to improve the dynamic quality and transient stability of Sichuan system.
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摘要 :
As a long-distance transmission system, Sichuan system has an undesirable power flow distribution, which has seriously infringed on its security. In order to improve its stability, a dynamic model considering external disturbances...
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As a long-distance transmission system, Sichuan system has an undesirable power flow distribution, which has seriously infringed on its security. In order to improve its stability, a dynamic model considering external disturbances is proposed. Then based on PWM technology, a novel hybrid control strategy for UPFC is built. A nonlinear H_∞ law is designed for control phase of the series converter. While for the other three control variables (modulation ratios and control phase), conventional PI control is adopted. Furthermore, based completely on the locally measurable variables, the proposed controller could be very practical. Simulation studies have verified its effectiveness to improve the dynamic quality and transient stability of Sichuan system.
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摘要 :
Wind power ultra-short-term prediction plays a key role in day scheduling of power systems and cross-provincial power trading. However, the randomness and non-stationary nature of wind power, and the mismatch between the training ...
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Wind power ultra-short-term prediction plays a key role in day scheduling of power systems and cross-provincial power trading. However, the randomness and non-stationary nature of wind power, and the mismatch between the training data and the predicted data have become the main obstacles for the improvement of prediction accuracy. This paper proposes a prediction algorithm based on variational mode decomposition (VMD) and clustering. Firstly, the original non-stationary sequence is transformed into several relatively stationary modes utilizing VMD. Secondly, key features can be conveniently selected for each mode, which has a central frequency. Then the k-means clustering method is used to cluster each mode into several typical patterns based on correlation coefficient based distance definition. Finally, the method of "offline training, online matching" is adopted to perform training and prediction process. The actual data of a wind farm in Jilin Province was used to verify the results. The results show that the proposed method can improve the accuracy of ultra-short-term in multi-step prediction of wind power.
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