Research on Grid Structural Vulnerability Based on Improved Electrical Betweenness

2014 ◽  
Vol 1070-1072 ◽  
pp. 815-818
Author(s):  
Hui Qu ◽  
Xing Xian ◽  
Shao Qian Ding ◽  
Shan Shan Wen ◽  
Tao Lin ◽  
...  
Keyword(s):  
Power Systems ◽  
Transfer Coefficient ◽  
Vulnerability Assessment ◽  
Large Scale ◽  
Load Transfer ◽  
Power Grid ◽  
Structural Vulnerability ◽  
Assessment Index ◽  
Interconnected Power Systems ◽  
The Difference

The emergence of electricity transmission with farther transporting distance, extra-higher voltage and greater transporting power and the formation of the regional interconnected power grid have greatly increased the probability of blackout, this phenomenon has fully exposed the vulnerability of large-scale interconnected power systems. In this paper, Electrical betweenness based on load transfer coefficient is proposed to construct structural vulnerability assessment index. Meanwhile, it is verified that the method is rational and available by analysising the difference of the IEEE-39 system between three attack modes.

scholarly journals Deep Forest Reinforcement Learning for Preventive Strategy Considering Automatic Generation Control in Large-Scale Interconnected Power Systems

2018 ◽  
Vol 8 (11) ◽  
pp. 2185 ◽  
Author(s):  
Linfei Yin ◽  
Lulin Zhao ◽  
Tao Yu ◽  
Xiaoshun Zhang
Keyword(s):  
Reinforcement Learning ◽  
Power Systems ◽  
Power System ◽  
Large Scale ◽  
Automatic Generation ◽  
Preventive Strategy ◽  
Emergency Situations ◽  
Interconnected Power Systems ◽  
Deep Forest ◽  
Normal States

To reduce occurrences of emergency situations in large-scale interconnected power systems with large continuous disturbances, a preventive strategy for the automatic generation control (AGC) of power systems is proposed. To mitigate the curse of dimensionality that arises in conventional reinforcement learning algorithms, deep forest is applied to reinforcement learning. Therefore, deep forest reinforcement learning (DFRL) as a preventive strategy for AGC is proposed in this paper. The DFRL method consists of deep forest and multiple subsidiary reinforcement learning. The deep forest component of the DFRL is applied to predict the next systemic state of a power system, including emergency states and normal states. The multiple subsidiary reinforcement learning component, which includes reinforcement learning for emergency states and reinforcement learning for normal states, is applied to learn the features of the power system. The performance of the DFRL algorithm was compared to that of 10 other conventional AGC algorithms on a two-area load frequency control power system, a three-area power system, and the China Southern Power Grid. The DFRL method achieved the highest control performance. With this new method, both the occurrences of emergency situations and the curse of dimensionality can be simultaneously reduced.

scholarly journals The Maximum Scale Analysis of PV Generation Growth based on Power Grid Development

2019 ◽  
Vol 118 ◽  
pp. 02023
Author(s):  
Huang Zonghong ◽  
Wangcheng Long ◽  
Xiang Li ◽  
Xu dongjie ◽  
Zhe Sun
Keyword(s):  
Power System ◽  
Electricity Generation ◽  
Large Scale ◽  
System Development ◽  
Power Grid ◽  
Great Influence ◽  
The Difference ◽  
Grid Operation ◽  
Policy Guidance ◽  
Pv Generation

Since 2010, photovoltaic (PV) was growing rapidly for policy guidance in China. The large-scale PV electricity generation had a great influence on the power grid operation because of the change of the power supply layout. How to analyse the influence is an important matter to power system development. The analysed results will decide the trends of the PV electricity generation in future. Therefore, the Coordination analysis of PV generation growth is crucial to those developments. In this paper, the reasonable plant scale arrangement was discussed based on the difference between peak and valley of power system.

scholarly journals Operational Reliability Assessment of an Interconnected Power System Based on an Online Updating External Network Equivalent Model with Boundary PMU

Electronics ◽  
2019 ◽  
Vol 8 (1) ◽  
pp. 49 ◽  
Author(s):  
Dabo Zhang ◽  
Shuai Lian ◽  
Weiqing Tao ◽  
Jinsong Liu ◽  
Chen Fang
Keyword(s):  
Power Systems ◽  
Power System ◽  
Power Grid ◽  
Measurement Data ◽  
Operational Reliability ◽  
Equivalent Model ◽  
Interconnected Power System ◽  
Network Information ◽  
Interconnected Power Systems ◽  
Internal Network

Information between interconnected power systems is difficult to share in real time, due to trade secrets and technical limitations. The regional power grid cannot timely detect the impact of changes in the operation mode of the external power grid on the regional reliability, due to faults, load fluctuations, power generation plan adjustments, and other reasons. How to evaluate the reliability of a regional power system under the conditions of information isolation is a difficult problem for the security of interconnected power systems. Aiming at this problem, an operational reliability evaluation method for an interconnected power system is proposed herein, which does not depend on external network information directly, but only uses boundary phasor measurement unit (PMU) measurement data and internal network information. A static equivalent model with sensitivity consistency was used to simplify the external network to ensure the accuracy of the reliability calculation of interconnected power systems. The boundary PMU measurement data were used to update the external network equivalent model online. The algorithm flow of the operation reliability assessment for the interconnected power grid is given. The results of an example based on the IEEE-RTS-96 test system show that the proposed method can track the equivalent parameters of the external network without depending on the actual topological information, and calculate the reliability index of the internal network accurately.

Hierarchical Structural Model of AC/DC Power Systems

2013 ◽  
Vol 313-314 ◽  
pp. 821-827
Author(s):  
Kai Feng Zhang ◽  
Hai Ming Zhou
Keyword(s):  
Power Systems ◽  
Decomposition Method ◽  
Large Scale ◽  
Structural Model ◽  
Modeling Method ◽  
Hierarchical Decomposition ◽  
New Model ◽  
Dc Power ◽  
The Difference ◽  
Dc Power Systems

The hierarchical decomposition and modeling method of large-scale power systems proposed previously is expanded to be suitable for AC/DC power systems in this paper. In the new model of AC/DC systems, DC systems will have the same position as AC systems. The components in AC/DC power systems are classified into three categories, namely conversion components, DC components and AC components. By analyzing the difference between DC interface and AC interface, the unified structural model suitable for any kind of component in AC/DC systems is built. Then, the hierarchical structural model is derived based on the hierarchical decomposition method. The main characteristics of the proposed AC/DC model are the same as that of previous AC model.

Sharing hydropower flexibility in interconnected power systems: A case study for the China Southern power grid

2021 ◽  
Vol 288 ◽  
pp. 116645
Author(s):  
Juntao Zhang ◽  
Chuntian Cheng ◽  
Shen Yu ◽  
Huijun Wu ◽  
Mengping Gao
Keyword(s):  
Power Systems ◽  
Power Grid ◽  
Interconnected Power Systems

scholarly journals Energy storage system design for large-scale solar PV in Malaysia: techno-economic analysis

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Mahmoud Laajimi ◽  
Yun Ii Go
Keyword(s):  
Energy Storage ◽  
Solar Energy ◽  
Power Systems ◽  
Large Scale ◽  
Renewable Resource ◽  
Environmental Benefits ◽  
Energy Prices ◽  
Solar Pv ◽  
Output Ratio ◽  
The Difference

AbstractLarge-scale solar is a non-reversible trend in the energy mix of Malaysia. Due to the mismatch between the peak of solar energy generation and the peak demand, energy storage projects are essential and crucial to optimize the use of this renewable resource. Although the technical and environmental benefits of such transition have been examined, the profitability of energy storage systems combined with large-scale solar PV has not been studied in Malaysia. This project aims to determine the most profitable business model of power systems, in terms of PV installed capacity, and energy storage capacity, and power system components. A comparative study has been done to compare the economic outcomes from different types of projects, with different scales and multiple configurations of large-scale solar PV combined with energy storage. The lowest values of LCOE are guaranteed with energy storage output to LSS output ratio, A = 5%. In this case, 30-MW projects have the cheapest electricity, equal to RM 0.2484/kWh. On the other hand, increasing the energy storage output to LSS output ratio, A to 60% results in the increase of LCOE, exceeding RM 0.47/kWh. On the economical side, with a difference of 0.06 kWh/m2/day for the analysis carried out in Pahang and Perak, the difference in net present worth is more than 7.5% of the net present cost. The difference between the two locations is comparatively higher for 50-MW projects. It is equal to RM 11.67 Million for A = 60%, while it is equal to RM 13.5 Million with A = 5%. Due to the energy prices in Malaysia, the projects that include large-scale solar only are more profitable technically and financially than those including large-scale solar and energy storage. It is found that adding storage to a large-scale solar project is more profitable technically and financially with greater large-scale solar capacities and smaller storage capacities. Nevertheless, with the current energy prices in Malaysia, projects that include only energy storage are not financially profitable. This study determined the parameters that affect the profitability of large-scale solar energy projects and energy storage projects, and the configurations that maximize financial profits. The findings of this study are useful for the future regulations that intend to enhance the deployment of large-scale solar PV and energy storage in Malaysia.

scholarly journals Research on Power Grid Resilience and Power Supply Restoration during Disasters-A Review

2020 ◽  
Author(s):  
Jingyi Xia ◽  
Fuguo Xu ◽  
Guangwei Huang
Keyword(s):  
Power Systems ◽  
Natural Disasters ◽  
Power Supply ◽  
Large Scale ◽  
Transportation Network ◽  
Power Grid ◽  
Management Strategies ◽  
Modern Society ◽  
Supply Management ◽  
Definition Of

Electric power system plays an indispensable role in modern society, which supplies the energy to residential, commercial, and industrial consumers. However, the high-impact and low-probability natural disasters (i.e., windstorm, typhoon, and flood) come more frequent because of the climate change in the recent years, which may sequentially cause devastating damages to the infrastructure of power systems. The aim of this paper is mainly to explore and review the resilience of power grid system during the disaster and the power supply management strategies to recover the power grid. Firstly, the category of natural disasters and different influences on power grid are discussed. Then, the definition of power grid resilience is explored and the supply management strategies copying with disasters are introduced, such as microgrids and distributed generation systems. Specially, the electric vehicles (EVs) equipped with large-capacity battery pack in the transportation network can also be considered as the distributed power sources with mobility. Thus, the conceptual frameworks of integrating large-scale EVs into the power grid to fasten restoration of the power systems in the pre-disaster/post-disaster are emphatically investigated in this paper. Finally, the opportunities and challenges in further research on employing EVs for emergency power supply in the extreme weather events are also discussed.

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