Integration of Large Scale Wind Energy with Electrical Power Systems in China

Author(s):  
Zongxiang Lu ◽  
Shuangxi Zhou
2020 ◽  
Vol 216 ◽  
pp. 01040
Author(s):  
Alexey Osak ◽  
Daniil Panasetsky ◽  
Elena Buzina

Cyber threats pose an increasing threat to energy objects. It is essential to ensure the cybersecurity of automatic control systems, such as relay protection devices (RP), devices of regime control (RC) and emergency control (EC), automated control systems. At the same time, the issues of cybersecurity include not only the problem of hacker attacks, but also the whole complex of problems relating to adequate functioning of cybernetic systems in the power industry. The authors consider two of the most acute aspects of cybersecurity in the energy systems of the future in the era of total digitalization: large-scale prepared cyber attacks on the electrical power systems (EPS) as a whole and large-scale cyber attacks on distribution networks with small-scale generation facilities and active consumers.


Energies ◽  
2020 ◽  
Vol 13 (23) ◽  
pp. 6375
Author(s):  
Elkin D. Reyes ◽  
Arturo S. Bretas ◽  
Sergio Rivera

The high penetration of renewable sources of energy in electrical power systems implies an increase in the uncertainty variables of the economic dispatch (ED). Uncertainty costs are a metric to quantify the variability introduced from renewable energy generation, that is to say: wind energy generation (WEG), run-of-the-river hydro generators (RHG), and solar photovoltaic generation (PVG). On other side, there are associated uncertainties to the charge/uncharge of plug-in electric vehicles (PEV). Thus, in this paper, the uncertainty cost functions (UCF) and their marginal expressions as a way of modeling and assessment of stochasticity in power systems with high penetration of smart grids elements is presented. In this work, a mathematical analysis is presented using the first and second derivatives of the UCF, where the marginal uncertainty cost functions (MUCF) and the UCF’s minimums for PVG, WEG, PEV, and RHG are derived. Further, a model validation is presented, considering comparative test results from the state of the art of the UCF minimum, developed in a previous study, to the minimum reached with the presented (MUCF) solution.


2021 ◽  
Vol 17 (2) ◽  
pp. 219-225
Author(s):  
Abdul-Basset Al-Hussein

This review article puts forward the phenomena of chaotic oscillation in electrical power systems. The aim is to present some short summaries written by distinguished researchers in the field of chaotic oscillation in power systems. The reviewed papers are classified according to the phenomena that cause the chaotic oscillations in electrical power systems. Modern electrical power systems are evolving day by day from small networks toward large-scale grids. Electrical power systems are constituted of multiple inter-linked together elements, such as synchronous generators, transformers, transmission lines, linear and nonlinear loads, and many other devices. Most of these components are inherently nonlinear in nature rendering the whole electrical power system as a complex nonlinear network. Nonlinear systems can evolve very complex dynamics such as static and dynamic bifurcations and may also behave chaotically. Chaos in electrical power systems is very unwanted as it can drive system bus voltage to instability and can lead to voltage collapse and ultimately cause a general blackout.


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