To achieve optimal configuration of switching devices in a power distribution system,this paper proposes a repulsive firefly algorithm-based optimal switching device placement method.In this method,the influence of te...To achieve optimal configuration of switching devices in a power distribution system,this paper proposes a repulsive firefly algorithm-based optimal switching device placement method.In this method,the influence of territorial repulsion during firefly courtship is considered.The algorithm is practically applied to optimize the position and quantity of switching devices,while avoiding its convergence to the local optimal solution.The experimental simulation results have showed that the proposed repulsive firefly algorithm is feasible and effective,with satisfying global search capability and convergence speed,holding potential applications in setting value calculation of relay protection and distribution network automation control.展开更多
This paper aims at analyzing the impact of the neutral conductor absence at specific sections over the performance of the power distribution lines, and proposing alternative solutions to mitigate the problems caused b...This paper aims at analyzing the impact of the neutral conductor absence at specific sections over the performance of the power distribution lines, and proposing alternative solutions to mitigate the problems caused by the neutral conductor theft. Simulations are made by the software lnterplan and show that the absence of neutral conductor at specific sections of power distribution lines may increase the neutral-to-ground voltages, which compromises the system＇s safety. The solution developed keeps the technical performance of the power distribution system at satisfactory levels, regarding the voltage profile, or, at least, close to the level before the neutral conductor＇s theft.展开更多
After a major outage,mobile emergency resources(MERs)can be dispatched via the transportation system(TS)for service restoration to critical loads in the power distribution system(PDS).In this case study,the efficiency...After a major outage,mobile emergency resources(MERs)can be dispatched via the transportation system(TS)for service restoration to critical loads in the power distribution system(PDS).In this case study,the efficiency of service restoration in the PDS is associated with the traffic efficiency of the TS,and vice versa,because the PDS and TS are mutually coupled through traffic lights and MERs.This paper proposes a service restoration method considering interdependency between the PDS and TS,which is formulated as a mixed-integer linear program(MILP).The objective includes maximizing the efficiency of both PDS restoration and TS.By solving the MILP,the dynamic load restoration and MER dispatch strategies can be obtained.For the PDS,the availability of MERs,including mobile sources and repair crews,relates to their dispatch in the TS,and their relationship is formulated as mathematical models.For the TS,the dynamic traffic flow is modeled using the cell transmission model and the effect of traffic lights is considered.Case studies validate the effectiveness of the proposed method.展开更多
Data-driven detection models for voltage disturbance in power systems have performed exceptionally over the years.However,they require a large number of samples for training,and the monitoring systems that are operate...Data-driven detection models for voltage disturbance in power systems have performed exceptionally over the years.However,they require a large number of samples for training,and the monitoring systems that are operated in substations cannot easily meet this requirement.Therefore,few-shot voltage disturbance detection is urgently needed.In this study,a new detection framework and its episodic training mechanism are proposed to address the above need.The proposed framework is comprised of a short-time Fourier transform(STFT),a feature extractor,and a feature evaluator.STFT converts a voltage disturbance into a time-frequency matrix to enrich its information.Then,the feature extractor learns features from the time-frequency matrix.Finally,the feature evaluator identifies the voltage disturbance by evaluating the similarities between its feature and the features of a support set.An episodic training mechanism is proposed to enable the framework to learn how to evaluate similarities between the voltage disturbance to be detected and the voltage disturbance in the support set.Experiments on two measured voltage disturbance datasets demonstrate that the framework can detect a voltage disturbance type on the basis of a few samples of that type in the support set.The proposed framework provides a competitive solution for the detection of few-shot voltage disturbances and other similar electricity data that are difficult to collect.展开更多
基金supported by the State Grid Science and Technology Project “Research on Technology System and Applications Scenarios of Artificial Intelligence in Power System” (No. SGZJ0000KXJS1800435)Key Technology Project of State Grid Shanghai Municipal Electric Power Company “Research and demonstration of Shanghai power grid reliability analysis platform”Key Technology Project of China Electric Power Research Institute “Research on setting calculation technology of power grid phase protection based on Artificial Intelligence” (JB83-19-007)
文摘To achieve optimal configuration of switching devices in a power distribution system,this paper proposes a repulsive firefly algorithm-based optimal switching device placement method.In this method,the influence of territorial repulsion during firefly courtship is considered.The algorithm is practically applied to optimize the position and quantity of switching devices,while avoiding its convergence to the local optimal solution.The experimental simulation results have showed that the proposed repulsive firefly algorithm is feasible and effective,with satisfying global search capability and convergence speed,holding potential applications in setting value calculation of relay protection and distribution network automation control.
文摘This paper aims at analyzing the impact of the neutral conductor absence at specific sections over the performance of the power distribution lines, and proposing alternative solutions to mitigate the problems caused by the neutral conductor theft. Simulations are made by the software lnterplan and show that the absence of neutral conductor at specific sections of power distribution lines may increase the neutral-to-ground voltages, which compromises the system＇s safety. The solution developed keeps the technical performance of the power distribution system at satisfactory levels, regarding the voltage profile, or, at least, close to the level before the neutral conductor＇s theft.
基金This work was supported in part by Fundamental Funds for the Central University under Grant No.2018RC018the National Natural Science Foundation of China under Grant No.51807004the project of State Grid Shanghai Electrical Power Research Institute(B30940190000).
文摘After a major outage,mobile emergency resources(MERs)can be dispatched via the transportation system(TS)for service restoration to critical loads in the power distribution system(PDS).In this case study,the efficiency of service restoration in the PDS is associated with the traffic efficiency of the TS,and vice versa,because the PDS and TS are mutually coupled through traffic lights and MERs.This paper proposes a service restoration method considering interdependency between the PDS and TS,which is formulated as a mixed-integer linear program(MILP).The objective includes maximizing the efficiency of both PDS restoration and TS.By solving the MILP,the dynamic load restoration and MER dispatch strategies can be obtained.For the PDS,the availability of MERs,including mobile sources and repair crews,relates to their dispatch in the TS,and their relationship is formulated as mathematical models.For the TS,the dynamic traffic flow is modeled using the cell transmission model and the effect of traffic lights is considered.Case studies validate the effectiveness of the proposed method.
基金supported by the National Natural Science Foundation of China(Grant No.51837002).
文摘Data-driven detection models for voltage disturbance in power systems have performed exceptionally over the years.However,they require a large number of samples for training,and the monitoring systems that are operated in substations cannot easily meet this requirement.Therefore,few-shot voltage disturbance detection is urgently needed.In this study,a new detection framework and its episodic training mechanism are proposed to address the above need.The proposed framework is comprised of a short-time Fourier transform(STFT),a feature extractor,and a feature evaluator.STFT converts a voltage disturbance into a time-frequency matrix to enrich its information.Then,the feature extractor learns features from the time-frequency matrix.Finally,the feature evaluator identifies the voltage disturbance by evaluating the similarities between its feature and the features of a support set.An episodic training mechanism is proposed to enable the framework to learn how to evaluate similarities between the voltage disturbance to be detected and the voltage disturbance in the support set.Experiments on two measured voltage disturbance datasets demonstrate that the framework can detect a voltage disturbance type on the basis of a few samples of that type in the support set.The proposed framework provides a competitive solution for the detection of few-shot voltage disturbances and other similar electricity data that are difficult to collect.
