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.

Multistage large-scale charging station planning for electric buses considering transportation network and power grid

2019 ◽  
Vol 107 ◽  
pp. 423-443 ◽  
Author(s):  
Yuping Lin ◽  
Kai Zhang ◽  
Zuo-Jun Max Shen ◽  
Bin Ye ◽  
Lixin Miao
Keyword(s):  
Large Scale ◽  
Transportation Network ◽  
Power Grid ◽  
Charging Station

Demand Side Management for Reducing Rolling Blackouts Due to Power Supply Deficit in Sumatra

2014 ◽  
Vol 69 (5) ◽  
Author(s):  
Husna Syadli ◽  
Md Pauzi Abdullah ◽  
Muhammad Yusri Hassan ◽  
Faridah Hussin
Keyword(s):  
Power Systems ◽  
Customer Service ◽  
Power Supply ◽  
Management Strategies ◽  
Peak Load ◽  
Demand Side Management ◽  
Demand Side ◽  
Demand Growth ◽  
Save Energy ◽  
The Impact

When the high electricity demand growth is not matched by growth in generating sufficient capacity, deficit cannot be avoided. In Sumatera, power outages of up to 6 hours per day are part of the power crisis experienced. To date, deficits experienced by Sumatera require better management strategy and operation of electric power systems, taking into account the security system, reliability and customer service. This paper briefly discusses the impact of rolling blackouts on the community's economy and proposed demand-side management strategies as short term measure to overcome the power supply deficit in Sumatera. From the analysis, electricity savings in household equipment can save energy consumption by 98.79 MW at peak load and 97.55 MW for off peak load time. 

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.

An Optimization Framework for Decision Making in Large, Collaborative Energy Supply Systems

2016 ◽  
Vol 138 (5) ◽  
Author(s):  
Bryony DuPont ◽  
Ridwan Azam ◽  
Scott Proper ◽  
Eduardo Cotilla-Sanchez ◽  
Christopher Hoyle ◽  
...  
Keyword(s):  
Decision Making ◽  
Power Systems ◽  
Power Supply ◽  
Power Flow ◽  
Large Scale ◽  
Flow Analysis ◽  
Energy System ◽  
Future Research ◽  
Systems Research ◽  
Supply Systems

As demand for electricity in the U.S. continues to increase, it is necessary to explore the means through which the modern power supply system can accommodate both increasing affluence (which is accompanied by increased per-capita consumption) and the continually growing global population. Though there has been a great deal of research into the theoretical optimization of large-scale power systems, research into the use of an existing power system as a foundation for this growth has yet to be fully explored. Current successful and robust power generation systems that have significant renewable energy penetration—despite not having been optimized a priori—can be used to inform the advancement of modern power systems to accommodate the increasing demand for electricity. This work explores how an accurate and state-of-the-art computational model of a large, regional energy system can be employed as part of an overarching power systems optimization scheme that looks to inform the decision making process for next generation power supply systems. Research scenarios that explore an introductory multi-objective power flow analysis for a case study involving a regional portion of a large grid will be explored, along with a discussion of future research directions.

scholarly journals Charging Network Planning for Electric Bus Cities: A Case Study of Shenzhen, China

2019 ◽  
Vol 11 (17) ◽  
pp. 4713 ◽  
Author(s):  
Yuping Lin ◽  
Kai Zhang ◽  
Zuo-Jun Max Shen ◽  
Lixin Miao
Keyword(s):  
Large Scale ◽  
Programming Model ◽  
Cost Minimization ◽  
Transportation Network ◽  
Power Grid ◽  
Mixed Integer ◽  
Charging Infrastructure ◽  
Second Order Cone ◽  
Charging Stations

In 2017, Shenzhen replaced all its buses with battery e-buses (electric buses) and has become the first all-e-bus city in the world. Systematic planning of the supporting charging infrastructure for the electrified bus transportation system is required. Considering the number of city e-buses and the land scarcity, large-scale bus charging stations were preferred and adopted by the city. Compared with other EVs (electric vehicles), e-buses have operational tasks and different charging behavior. Since large-scale electricity-consuming stations will result in an intense burden on the power grid, it is necessary to consider both the transportation network and the power grid when planning the charging infrastructure. A cost-minimization model to jointly determine the deployment of bus charging stations and a grid connection scheme was put forward, which is essentially a three-fold assignment model. The problem was formulated as a mixed-integer second-order cone programming model, and a “No R” algorithm was proposed to improve the computational speed further. Computational studies, including a case study of Shenzhen, were implemented and the impacts of EV technology advancements on the cost and the infrastructure layout were also investigated.

Energy Challenge, Power Electronics & Systems (PEAS) Technology and Grid Modernization

2019 ◽  
pp. 116-129
Author(s):  
Geetha R ◽  
Gowdhamkumar S ◽  
Yamuna ` R ◽  
S Jambulingam
Keyword(s):  
Energy Consumption ◽  
Power Systems ◽  
Electric Power ◽  
Power Electronics ◽  
Power Grid ◽  
Modern Society ◽  
Electric Power Systems ◽  
Electric Power System ◽  
Total Energy Consumption ◽  
Energy Challenge

Modern society has reached a point where virtually every crucial economic and social function depends on the secure and reliable operation of the electrical power and energy infrastructures. The energy consumption growth and the population growth are pushing world’s total energy consumption to double by 2050. This represents grand challenges and opportunities for power electronics and electric power systems engineers to modernize the power grid. Power electronics & systems (PEAS) technology is increasingly important for smarter distributed systems, particularly for power grid modernization. This paper discussed smart technology solutions, such as PEAS, for the changing nature of the electric power system. Specific technical challenges that are facing the power electronics and electric power systems communities are then elaborated. It is shown that we can meet the grand energy challenge by lever-aging the grid modernization efforts. To provide electric power to twice as many people does not have to increase the required environment footprint.

scholarly journals Towards a RINA-Based Architecture for Performance Management of Large-Scale Distributed Systems

Computers ◽  
2020 ◽  
Vol 9 (2) ◽  
pp. 53 ◽  
Author(s):  
Peter Thompson ◽  
Neil Davies
Keyword(s):  
Distributed Systems ◽  
Performance Management ◽  
Large Scale ◽  
Network Performance ◽  
Modern Society ◽  
Performance Management System ◽  
Reliable Performance ◽  
Critical Traffic ◽  
Definition Of ◽  
Time Critical

Modern society is increasingly dependent on reliable performance of distributed systems. In this paper, we provide a precise definition of performance using the concept of quality attenuation; discuss its properties, measurement and decomposition; identify sources of such attenuation; outline methods of managing performance hazards automatically using the capabilities of the Recursive InterNetworking Architecture (RINA); demonstrate procedures for aggregating both application demands and network performance to achieve scalability; discuss dealing with bursty and time-critical traffic; propose metrics to assess the effectiveness of a performance management system; and outline an architecture for performance management.

scholarly journals SOCIAL SOLIDARITY AND COHESION OF DIASPORA AS FACTORS OF SOCIAL STABILITY IN THE CONVENTION OF THE COVID-19 PANDEMIC

2021 ◽  
pp. 14-20
Author(s):  
Lyudmila Afanasieva ◽  
Lyudmila Glinskaya ◽  
Irina Bukreeva ◽  
Natаlia Hlebova
Keyword(s):  
Social Cohesion ◽  
Social Order ◽  
Social Inclusion ◽  
Large Scale ◽  
Effective Means ◽  
Modern Society ◽  
Social Philosophy ◽  
Social Solidarity ◽  
Wide Range ◽  
Definition Of

The article analyzes the phenomenon of social solidarity of the diaspora as one of the main directions of development of modern society in the context of challenges related to the problem of COVID-19. The analysis of social principles and genesis of comprehension of the category of social solidarity and cohesion on the materials of social philosophy is carried out. The essence of the main scientific approaches to the study of the concepts of social solidarity and cohesion is determined. Solidarity in work is seen as one of the prerequisites for stability and social order. The modern scientific definition of "social solidarity" in the social sciences means the unity of a group, class, or action that generates unity of interests, goals, standards, and mutual understanding. Solidarity processes by modern foreign and domestic researchers today are associated primarily with such phenomena as cooperation, cohesion, unity, public trust, the presence of common ideas, views and goals. Although social cohesion seems a difficult concept to study, researchers note its extreme importance in detailing the category of solidarity as a wide range of components: mutual assistance, trust, perception of difference, perception of justice, social inclusion, and so on. Since the spread of the COVID-19 virus and disease, people around the world have faced a large-scale emergency and an incomprehensible situation that is new to most modern societies. Therefore, the socio-cultural understanding of the pandemic as a global problem today acquires special significance for the search for the foundations of social cohesion, as a means of reducing tensions and social solidarity of communities. The authors argue that it is social solidarity and cohesion of the diaspora of communities and communities that is an effective means of social counteraction to modern destructive factors and challenges.

scholarly journals Open data base analysis of scaling and spatio-temporal properties of power grid frequencies

2020 ◽  
Author(s):  
Leonardo Gorjão ◽  
Richard Jumar ◽  
Heiko Maass ◽  
Veit Hagenmeyer ◽  
G. Cigdem Yalcin ◽  
...  
Keyword(s):  
Power Systems ◽  
Data Base ◽  
Large Scale ◽  
Scaling Laws ◽  
Power Grid ◽  
Supply And Demand ◽  
Scaling Law ◽  
Open Data ◽  
Electrical Energy ◽  
Energy System

Abstract The electrical energy system has attracted much attention from an increasingly diverse research community. Many theoretical predictions have been made, from scaling laws of fluctuations to propagation velocities of disturbances. However, to validate any theory, empirical data from large-scale power systems are necessary but are rarely shared openly. Here, we analyse an open data base of measurements of electric power grid frequencies across 17 locations in 12 synchronous areas on three continents. The power grid frequency is of particular interest, as it indicates the balance of supply and demand and carries information on deterministic, stochastic, and control influences. We perform a broad analysis of the recorded data, compare different synchronous areas and validate a previously conjectured scaling law. Furthermore, we show how fluctuations change from local independent oscillations to a homogeneous bulk behaviour. Overall, the presented open data base and analyses may constitute a step towards more shared, collaborative energy research.

scholarly journals Control Method of Buses and Lines Using Reinforcement Learning for Short Circuit Current Reduction

2020 ◽  
Vol 12 (22) ◽  
pp. 9333
Author(s):  
Sangwook Han
Keyword(s):  
Reinforcement Learning ◽  
Power Systems ◽  
Large Scale ◽  
Control Method ◽  
Short Circuit ◽  
Power Grid ◽  
Short Circuit Current ◽  
Control Methods ◽  
Grid Operation ◽  
Short Circuit Currents

This paper proposes a reinforcement learning-based approach that optimises bus and line control methods to solve the problem of short circuit currents in power systems. Expansion of power grids leads to concentrated power output and more lines for large-scale transmission, thereby increasing short circuit currents. The short circuit currents must be managed systematically by controlling the buses and lines such as separating, merging, and moving a bus, line, or transformer. However, there are countless possible control schemes in an actual grid. Moreover, to ensure compliance with power system reliability standards, no bus should exceed breaker capacity nor should lines or transformers be overloaded. For this reason, examining and selecting a plan requires extensive time and effort. To solve these problems, this paper introduces reinforcement learning to optimise control methods. By providing appropriate rewards for each control action, a policy is set, and the optimal control method is obtained through a maximising value method. In addition, a technique is presented that systematically defines the bus and line separation measures, limits the range of measures to those with actual power grid applicability, and reduces the optimisation time while increasing the convergence probability and enabling use in actual power grid operation. In the future, this technique will contribute significantly to establishing power grid operation plans based on short circuit currents.

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