A diagnostic method for distribution networks based on power supply safety standards

Huang, Junhui; Ge, Shemin; Han, Jun Hyun; Hu, Li; Zhou, Xiaomin; Liu, Hong; Wang, Bo; Chen, Zhengfang

doi:10.1186/s41601-016-0020-2

Cited by 18 publications

(13 citation statements)

References 7 publications

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“…According to Equation 27, the value of _ U S1 =Z SS is equal to the short circuit current of the system, which should be much larger than the POE positive sequence current _ I 1 . Therefore, the value of _ I 1 = _ I 2 is much smaller compared with the value of _ U S1 =Z SS _ I 2 , and the change of ε Down U mainly depends on the second part ( _ U S1 =Z SS _ I 2 ) of Equation 27. Therefore, it can be deduced that the effect of the variation of Z SS is limited.…”

Section: Figurementioning

confidence: 96%

“…The superscript "Down" in Equation 27 notifies that all the POE unbalance is caused by the downstream network.…”

Section: Case 2: the Unbalance Is Totally From The Downstreammentioning

confidence: 99%

“…The load capacity is 240 kVA with a lagging power factor of 0.9. 27 Two different cases are studied. The settings and conditions of these 2 cases are the same with those of the IEEE 13-bus test system.…”

Section: Passive Loadmentioning

confidence: 99%

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Unbalanced source identification at the point of evaluation in the distribution power systems

Sun

Xie

2017

Int Trans Electr Energ Syst

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SummaryThree-phase unbalance is one of the most important power quality problems in the power system. When the system is working under unbalanced conditions, more losses and heating effects will be induced, and the system will become less stable, which is harmful to both utilities and customers. The most important thing for a seriously unbalanced system is to find out the main unbalanced source to take proper measures to mitigate the problem. In this paper, a method is proposed to indentify the main unbalanced source at the point of evaluation (POE) in the distribution power systems. Two extreme cases are analyzed in the paper by assuming that the unbalanced source to be totally from the POE upstream network or downstream network. Therefore, 2 corresponding analytical formulas are derived to reveal the relationship between the POE voltage unbalance factor (VUF) and the current unbalance factor (CUF). A method is then proposed to determine the contribution of the unbalanced source at the upstream and downstream networks based on the comparison between the derived VUFs and the actual VUF. Sensitivity analysis is implemented to show the robustness of the proposed method. The effectiveness and validity of the proposed method is illustrated by the IEEE 13-bus test system and IEEE 37-bus test system. It is shown that the estimation error of the proposed method is generally within 5%.

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Section: Figurementioning

confidence: 96%

“…The superscript "Down" in Equation 27 notifies that all the POE unbalance is caused by the downstream network.…”

Section: Case 2: the Unbalance Is Totally From The Downstreammentioning

confidence: 99%

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Unbalanced source identification at the point of evaluation in the distribution power systems

Sun

Xie

2017

Int Trans Electr Energ Syst

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“…Energy consumption has gradually changed from fossil fuels and other traditional energy sources to renewable energy sources, such as wind farms (WF), photovoltaic (PV) energy, and nuclear energy [1][2][3][4]. With the reform of the power market in China, distributed WF and PV generation are developing rapidly, and the penetration of distributed generation (DG) in the distribution networks is increasing.…”

Section: Introductionmentioning

confidence: 99%

Multi-objective Optimization of Accommodation Capacity for Distributed Generation Based on Mixed Strategy Nash Equilibrium, Considering Distribution Network Flexibility

Liu

Wu²,

Wang

et al. 2019

Applied Sciences

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The increasing penetration of distributed generation (DG) brings about great fluctuation and uncertainty in distribution networks. In order to improve the ability of distribution networks to cope with disturbances caused by uncertainties and to evaluate the maximum accommodation capacity of DG, a multi-objective programming method for evaluation of the accommodation capacity of distribution networks for DG is proposed, considering the flexibility of distribution networks in this paper. Firstly, a multi-objective optimization model for determining the maximum accommodation of DG by considering the flexibility of distribution networks is constructed, aiming at maximizing the daily energy consumption, minimizing the voltage amplitude deviation, and maximizing the line capacity margin. Secondly, the comprehensive learning particle swarm optimization (CLPSO) algorithm is used to solve the multi-objective optimization model. Then, the mixed strategy Nash equilibrium is introduced to obtain the frontier solution with the optimal joint equilibrium value in the Pareto solution set. Finally, the effectiveness of the proposed method is demonstrated with an actual distribution network in China. The simulation results show that the proposed planning method can effectively find the Pareto optimal solution set by considering multiple objectives, and can obtain the optimal equilibrium solution for DG accommodation capacity and distribution network flexibility. the connection of DG into distribution networks may cause many problems, such as power quality, relay protection, and flexibility, which will affect the secure and reliable operation of the distribution network [7]. The volatility, intermittency, and unpredictability of renewable energy influence the fluctuation in distribution networks under high penetration of DG, resulting in low efficiency and great investment in distribution network equipment [8]. Improving the flexibility of distribution networks and effectively reducing the adverse impact of the high penetration of DG have become global research hotspots in recent years [9,10].Many research works have studied the flexibility of distribution networks by considering DG connection. In [11], an intelligent distribution network optimization planning model aiming to minimize comprehensive costs is proposed. The influence of flexible resources and strategies such as operation control means and demand side management on the distribution network planning are comprehensively considered in the proposed model. In [12], a multi-objective optimization dispatching model considering interruptible loads and energy storage is constructed based on the five flexibility indices. It is proven that the optimal dispatching of flexible resources can effectively improve the flexibility of the distribution network, with high penetration of DG, and that the ability of the distribution network to accommodate DG can be assessed with the proposed model. In [13], the flexible planning for power systems with high penetration of renewable energy is ...

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“…With the rapid development of economy, people require more reliable and secure power supply [1]. However, power systems are probably operated under extreme weather conditions in some areas.…”

Section: Introductionmentioning

confidence: 99%

Critical Lines Identification for Skeleton-Network of Power Systems under Extreme Weather Conditions Based on the Modified VIKOR Method

et al. 2018

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Identifying and preferentially reinforcing critical lines for skeleton-network of power systems is significant in improving the secure and stable operation of power systems under extreme weather conditions. Under this background, in this paper, six indexes are first presented for identifying critical lines for skeleton-network with the power elements' parameters and the impact of extreme weather conditions, the network topology and the operation state of power systems considered. Then, the modified Vise Kriterijumska Optimizacija I Kompromisno Resenje in Serbian (VIKOR) method, in which the synthetic weights of indexes determined by the combination weighting method are adopted, is utilized to identify the importance degrees of lines in a given power system. Both the overall performance and the outstanding individual performance of lines are considered, which is beneficial for the critical lines identification for skeleton-network. Finally, the proposed multi-indexes and methods are applied to part of the actual Guangdong power system in China. The numerical results are compared with those obtained by single-attribute and multi-attribute evaluation methods and other evaluation methods.

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A diagnostic method for distribution networks based on power supply safety standards

Cited by 18 publications

References 7 publications

Unbalanced source identification at the point of evaluation in the distribution power systems

Unbalanced source identification at the point of evaluation in the distribution power systems

Multi-objective Optimization of Accommodation Capacity for Distributed Generation Based on Mixed Strategy Nash Equilibrium, Considering Distribution Network Flexibility

Critical Lines Identification for Skeleton-Network of Power Systems under Extreme Weather Conditions Based on the Modified VIKOR Method

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