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Energy Engineering 2023年第11期120卷 2547-2563页

作者： Zihan Qi School of Electric Power Engineering South China University of TechnologyGuangzhou510641China

A novel operation control method for relay protection in flexible dc distribution networks with distributed power supply is proposed to address the issue of inaccurate fault location during relay protection,leading to poor performance.The method combines a fault-tolerant fault location method based on long-term and short-term memory networks to accurately locate the fault section.Then,an operation control method for relay protection based on adaptive weight and whale optimization algorithm(WOA)is used to construct an objective function considering the shortest relay protection action time and the smallest impulse current.The adaptive weight and WOA are employed to obtain the optimal strategy for relay protection operation control,reducing the action time and impulse current.Experimental results demonstrate the effectiveness of the proposed method in accurately locating faults and improving relay protection performance.The longest operation time is reduced by 4.7023 s,and the maximum impulse current is limited to 0.3 A,effectively controlling the impact of large impulse currents and enhancing control efficiency.

关键词： Compatible distributed power supply flexibility dc distribution network relay protection operation control

Line Fault Detection of dc distribution networks Using the Artificial Neural network

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Energy Engineering 2023年第7期120卷 1667-1683页

作者： Xunyou Zhang Chuanyang Liu Zuo Sun Country College of Mechanical and Electrical Engineering Chizhou UniversityChizhou247000China School of Electrical Engineering Southeast UniversityNanjing210096China College of Electronic and Information Engineering Nanjing University of Aeronautics and AstronauticsNanjing211106China

Adc distribution network is an effective solution for increasing renewable energy utilization with distinct benefits,such as high efficiency and easy control.However,a sudden increase in the current after the occurrence of faults in the network may adversely affect network stability.This study proposes an artificial neural network(ANN)-based fault detection and protection method for dc distribution networks.The ANN is applied to a classifier for different faults onthedc line.The backpropagationneuralnetwork is used to predict the line current,and the fault detection threshold is obtained on the basis of the difference between the predicted current and the actual current.The proposed method only uses local signals,with no requirement of a strict communication link.Simulation experiments are conducted for the proposed algorithm on a two-terminal dc distribution network modeled in the PSCAD/EMTdc and developed on the MATLAB platform.The results confirm that the proposed method can accurately detect and classify line faults within a few milliseconds and is not affected by fault locations,fault resistance,noise,and communication delay.

关键词： Artificial neural network dc distribution network fault detection

Planning of dc Electric Spring with Particle Swarm Optimization and Elitist Non-dominated Sorting Genetic Algorithm

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CSEE Journal of Power and Energy Systems 2024年第2期10卷 574-583页

作者： Qingsong Wang Siwei Li Hao Ding Ming Cheng Giuseppe Buja School of Electrical Engineering and Jiangsu Provincial Key Laboratory of Smart Grid Technology and Equipment Southeast UniversityNanjing 210096China School of Software Engineering Southeast universitySuzhou 215123China

This paper addresses the planning problem of parallel dc electric springs (dcESs). dcES, a demand-side management method, realizes automatic matching of power consumption and power generation by adjusting non-critical load (NCL) and internal storage. It can offer higher power quality to critical load (CL), reduce power imbalance and relieve pressure on energy storage systems (RESs). In this paper, a planning method for parallel dcESs is proposed to maximize stability gain, economic benefits, and penetration of RESs. The planning model is a master optimization with sub-optimization to highlight the priority of objectives. Master optimization is used to improve stability of the network, and sub-optimization aims to improve economic benefit and allowable penetration of RESs. This issue is a multivariable nonlinear mixed integer problem, requiring huge calculations by using common solvers. Therefore, particle Swarm optimization (PSO) and Elitist non-dominated sorting genetic algorithm (NSGA-II) were used to solve this model. Considering uncertainty of RESs, this paper verifies effectiveness of the proposed planning method on IEEE 33-bus system based on deterministic scenarios obtained by scenario analysis.

关键词： dc distribution network dc electric spring non-dominated sorting genetic algorithm particle swarm optimization renewable energy source

Optimal Configuration of Fault Location Measurement Points in dc distribution networks Based on Improved Particle Swarm Optimization Algorithm

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Energy Engineering 2024年第6期121卷 1535-1555页

作者： Huanan Yu Hangyu Li He Wang Shiqiang Li Key Laboratory of Modern Power System Simulation and Control&Renewable Energy Technology Ministry of EducationNortheast Electric Power UniversityJilin132012China

The escalating deployment of distributed power sources and random loads in dc distribution networks hasamplified the potential consequences of faults if left uncontrolled. To expedite the process of achieving an optimalconfiguration of measurement points, this paper presents an optimal configuration scheme for fault locationmeasurement points in dc distribution networks based on an improved particle swarm optimization algorithm.Initially, a measurement point distribution optimization model is formulated, leveraging compressive sensing.The model aims to achieve the minimum number of measurement points while attaining the best compressivesensing reconstruction effect. It incorporates constraints from the compressive sensing algorithm and networkwide viewability. Subsequently, the traditional particle swarm algorithm is enhanced by utilizing the Haltonsequence for population initialization, generating uniformly distributed individuals. This enhancement reducesindividual search blindness and overlap probability, thereby promoting population diversity. Furthermore, anadaptive t-distribution perturbation strategy is introduced during the particle update process to enhance the globalsearch capability and search speed. The established model for the optimal configuration of measurement points issolved, and the results demonstrate the efficacy and practicality of the proposed method. The optimal configurationreduces the number of measurement points, enhances localization accuracy, and improves the convergence speedof the algorithm. These findings validate the effectiveness and utility of the proposed approach.

关键词： Optimal allocation improved particle swarm algorithm fault location compressed sensing dc distribution network

Research on network Configuration and Voltage Control of dc distribution Station

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Research on Network Configuration and Voltage Control of DC ...

Coordinated Control Strategy for Operation Mode Switching of dc distribution networks

第三十九届中国控制会议

作者： Fuwen Su Dan Wang Chengxiong Mao Ziliu Ye School of Computer Science and Technology Wuhan University of Technology School of Electrical and Electronic Engineering Huazhong University of Science and Technology School of Automation Wuhan University of Technology

With the rapid development of distributed energy, the power grid, especially the urban power grid, is facing many challenges. In this paper, the concept of dc distribution station is proposed. As a key component of dc distribution system, dc distribution station will play the advantages of dc distribution technology to promote the transformation of traditional urban power grid into a new urban power grid. A reasonable overall topology is proposed, and the appropriate voltage control strategy is selected. Besides, the simulation model of dc distribution station is built in MATLAB/SIMULINK. The simulation under steady-state condition verifies the feasibility of the dc distribution station and the correctness of the control strategy.

关键词： dc distribution station network configuration voltage control dc distribution network

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Journal of Modern Power Systems and Clean Energy 2020年第2期8卷 334-344页

作者： Jianqiang Liu Xiaoguang Huang Ying Hong Zuyi Li the School of Electrical Engineering Beijing Jiaotong UniversityBeijing 100044China Galvin Center for Electricity Innovation Illinois Institute of TechnologyChicago 60616USA

Due to the advantages such as low line cost,low transmission loss,and high power supply reliability,dc distribution networks have become the main development trend for future distribution networks.In this paper,a typical dc distribution network with multiple voltage levels is considered as a research object.It is proposed that the interface converters between dc buses with different voltage levels be implemented through the series-parallel combination of full-bridge LLC resonant converters.To realize the decentralized self-discipline control of dc voltage under various working conditions,different slack buses are prepared according to the voltage ranges of the dc buses,and the voltage regulation modes of the dc distribution network are divided into main voltage regulation mode,backup voltage regulation mode,and off-grid voltage droop regulation mode.By introducing a voltage coefficient related to dc voltage deviation as a basis for mode switching,the voltage fluctuations caused by slow switching between control modes in the method of traditional voltage margin control is reduced,facilitating fast and smooth switching between different voltage regulation modes.Finally,a simulation model for dc distribution networks is constructed utilizing MATLAB/Simulink.Simulation results verify the effectiveness and feasibility of the proposed voltage regulation modes and switching methods for dc distribution networks.Finally,an experimental platform is also constructed to verify the feasibility of the mode switching method proposed in this paper.

关键词： dc distribution network decentralized self-discipline control voltage regulation mode mode switching

Topology of Current-limiting and Energy-transferring dc Circuit Breaker for dc distribution networks

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CSEE Journal of Power and Energy Systems 2020年第2期6卷 298-306页

作者： Song Tang Min Chen Guanlong Jia Chenghao Zhang School of Electrical Engineering Zhejiang UniversityHangzhouChina

With the development of power electronic technologies and distributed power generation,dc distribution networks attract increasing attention due to their various advantages compared with traditional AC distribution networks.However,dc fault protection is one of the major issues in dc distribution networks.To improve their reliability and protect the semiconductor devices under dc faults,a current-limiting and energy-transferring dc circuit breaker topology is proposed in this paper.By applying passive components and thyristors,the proposed topology is capable of quickly limiting the fault current and transferring the faulty energy.The working principle,mathematical model and parameter designing method of the proposed topology are presented in this paper.The simulation results verify that the proposed dc circuit breaker could effectively limit the fault current and quickly interrupt the fault current.Cost and conduction power loss evaluation proves the practicality of the proposed topology in medium-voltage dc distribution networks.

关键词： dc distribution network energy transfer fault current limiting hybrid dc circuit breaker passive components