The increasing integration of renewable energy reduces the inertia and frequency support capacity of the power system. The issue of frequency stability has become one of the core issues in the security and stability o...
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With the advancement of new energy technologies, renewable energy generation is predicted to dominate the power system's black-start recovery process as a black-start power source. This study investigates the oper...
With the advancement of new energy technologies, renewable energy generation is predicted to dominate the power system's black-start recovery process as a black-start power source. This study investigates the operating principle of BSWPS, factors influencing its output, effective output capacity, and its potential to engage in primary and secondary frequency regulation during power system black start. A BSWPS simulation model is developed, the control strategy of BSWPS as a system black start power source is investigated, and the possibility of BSWPS participating in frequency regulation during the black start phase is investigated. In order to allocate power reasonably, the paper suggests a strategy that combines a black start optimization model and a battery storage-based wind power system scheduling system model. The wind power prediction method is used to assess the wind power output, and Gurobi is used to solve the scheduling system model. The black start of the power system is effectively accomplished, according to test results in a system that has been retrofitted with a real grid, and the frequency stability of the system is greatly improved.
It is of great significance to find out the hidden hazards of the stage machinery in advance and formulate the corresponding protective measures to improve the safety of the stage performance. A comprehensive method t...
It is of great significance to find out the hidden hazards of the stage machinery in advance and formulate the corresponding protective measures to improve the safety of the stage performance. A comprehensive method that integrates entropy weights and the fuzzy inference is proposed. Firstly, the risk factors are identified through Failure Modes and Effects Analysis (FMEA) method, with the information obtained by field survey and research. Then, the entropy weight method and Fault Tree Analysis (FTA) methods are adopted to analyze the risk factors so as to obtain the probability of the hazardous events. Lastly, the risk level of different event is obtained by the fuzzy inference method. The simulation result proves that the model is reasonable, objective, and feasible.
The classification of customer is an essential basis for demand-side-oriented power system operation and control research. In order to accurately identify the customer behavior, this paper proposes a classification me...
The classification of customer is an essential basis for demand-side-oriented power system operation and control research. In order to accurately identify the customer behavior, this paper proposes a classification method of customer based on load curve image information. Inspired by the application of deep learning theory in image processing, the one-dimensional load series is transformed into a two-dimensional recurrence plot as the input sample, then convolutional neural network (CNN) and support vector machine (SVM) algorithms are combined to construct a load feature extraction and customer classification model, so that the machine vision technique can work to extract curve feature without temporal information loss of the load data. SVM is introduced as the classifier in the CNN model, and the optimal classification hyperplane is built in the high-dimensional feature space by adjusting the classification threshold and hyperplane normal vector which enables the customer classification to accurately reflect the daily load curve feature. Simulations are performed using practical load data of a city in China, and the results show that the load curve image information based method has satisfactory performance in terms of the effectiveness of customer classification and the accuracy of feature extraction.
With the rapid increase of renewable energy sources (RESs), traditional sequential dispatching of active distribution network (ADN) is facing more and more challenges. This paper establishes a unified economic dispatc...
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With the rapid increase of renewable energy sources (RESs), traditional sequential dispatching of active distribution network (ADN) is facing more and more challenges. This paper establishes a unified economic dispatching model for short-term operations of distribution network (DN) with multiple active management measures. Network reconfiguration is also considered to improve the flexibility of ADN. Multiple time resolution is applied to simultaneously determine the operation state of controllable units, network topology, and the output of active management devices. In order to better capture RES and load fluctuations, the proposed model uses 5min, 15min and 30min time resolution in the first three hours, respectively. The entire dispatching model can be transformed into a mixed integer linear programming (MILP) problems via several linearization methods. The proposed model is tested on the IEEE 33-node distribution system. The validity and effectiveness of the proposed model are illustrated by case studies.
After the fault line is removed, the active power will transfer, which may cause the related lines to overload. If the backup protection acts before the safety automatic device complete its action, it may cause a casc...
After the fault line is removed, the active power will transfer, which may cause the related lines to overload. If the backup protection acts before the safety automatic device complete its action, it may cause a cascading trip. Large-scale wind farm access will also affect the network active power distribution. This paper proposes a backup protection load-shedding control strategy based on a wide area measurement system (WAMS) considering wind farm output fluctuation to realize the coordination of backup protection and safety automatic devices in a power system with wind farm access. The effective control node pair is selected by using the power reverse equivalent pairing method. In view of the multiple lines being overloaded at the same time, an optimal control node pair screening method based on the weighted osculating value method is proposed. In order to verify the effectiveness of the load-shedding control strategy proposed in this paper considering the output fluctuation of wind farms, an IEEE 10-machine 39-node system is taken as an example. The simulation results are verified by PSASP.
The use of intermittent new energy sources is an important part of driving the low-carbon transition of the power system. PV (Photovoltaic) grid-connected increases the volatility of the distribution system. As the ba...
The use of intermittent new energy sources is an important part of driving the low-carbon transition of the power system. PV (Photovoltaic) grid-connected increases the volatility of the distribution system. As the basis of power system operation, the topology can directly influence the PV generation and flow distribution. To promote PV consumption, the flexibility of the distribution system topology needs to be fully utilized. A topology optimization strategy is proposed in this paper to cope with the increasing penetration of PV in distribution systems. First, a multi-objective topology reconfiguration model considering PV consumption and power quality is established. After that, an improved multi-objective discrete particle swarm optimization algorithm is used to find the optimal solution set. Finally, gray relational analysis is applied to select the optimal reconfiguration plan. The case study results of the IEEE 33-bus system demonstrate that this strategy can effectively promote PV consumption.
Given the significant percentage of renewable energy sources in the power grid, the problems of frequency stability and voltage stability are becoming more and more prominent. By configuring the synchronous condenser ...
Given the significant percentage of renewable energy sources in the power grid, the problems of frequency stability and voltage stability are becoming more and more prominent. By configuring the synchronous condenser (SC), it has the capability to furnish dynamic reactive power assistance, thereby enhancing its ability to maintain voltage support and reduce the active power impact caused by low voltage ride through (LVRT) of wind turbine (WT). However, the current power grid lacks an effective configuration strategy for the SC. This paper analyzes the impact of the access of the SC on the voltage support capacity based on the active power current impulse (APCI). The results show that the node with the lowest APCI is the optimal configuration position of the SC after the access of the SC. Based on the above conclusions, this paper proposes an optimal configuration scheme for a SC based on APCI. The simulation results show that the method proposed in this paper can effectively suppress the short-term active power impulse caused by large-scale wind power LVRT and avoid the transformation from local voltage problem to global frequency problem.
作者:
Xue, YahongMu, HaozhiXue, LijunTianjin University of Technology
Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control School of Mechanical Engineering Tianjin University of Technology National Demonstration Center for Experimental Mechanical and Electrical Engineering Education Tianjin300384 China
A cloud platform for engineering drawing course teaching was proposed based on cloud station. The cloud station can solve the common problems existed in engineering drawing course, such as the difficulty of teaching, ...
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Aiming at solving the problem of insufficient plunge depth by the deformation of friction stir welding robots, this paper presents a method for predicting and compensating for the end deformation of friction stir weld...
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