Smart grid implementation to overcome Electric Power System Stress conditions through demand response in Pakistan

Author(s):  
Misbah Rani ◽  
Fareeha Ramzan ◽  
Atif Javed ◽  
Adil Farooq ◽  
Tahir Nadeem Malik
2021 ◽  
Vol 19 ◽  
pp. 557-560
Author(s):  
Leo Casasola-Aignesberger ◽  
◽  
Sergio Martinez

The reduction in inertia present in electric power systems due to the increase in renewable generation interfaced with power converters presents various challenges in power system operation. One of these challenges is keeping the frequency of the system within acceptable bounds, as the reduced inertia allows faster changes in frequency. A possible way to mitigate this effect is to introduce a certain degree of frequency response in the demand side, in such a way that a loss in generation leads to a decrease in the demanded power, levelling the generation-demand balance. In this paper, one limitation of this approach is analysed, specifically the case where the demand response is excessive to the system inertia and demand, producing fast frequency oscillations. A scenario where this happens, on a simulated islanded system based on the electric power system of the island of San Cristóbal, in Galápagos (Ecuador), is studied, and a method of detecting these oscillations is proposed, as a first step to develop an appropriate response to them.


2020 ◽  
Vol 7 (3) ◽  
pp. 352-366
Author(s):  
Niamat Ullah Ibne Hossain ◽  
Morteza Nagahi ◽  
Raed Jaradat ◽  
Chiranjibi Shah ◽  
Randy Buchanan ◽  
...  

Abstract Due to the widespread of new technologies, the modern electric power system has become much more complex and uncertain. The Integration of technologies in the electric power system has increased the exposure of cyber threats and correlative susceptibilities from malicious cyber-attacks. To better address these cyber risks and minimize the effects of the power system outage, this research identifies the potential causes and mitigation techniques for the smart grid (SG) and assesses the overall cyber resilience of smart grid systems using a Bayesian network approach. Bayesian network is a powerful analytical tool predominantly used in risk, reliability, and resilience assessment under uncertainty. The quantification of the model is examined, and the results are analyzed through different advanced techniques such as predictive inference reasoning and sensitivity analysis. Different scenarios have been developed and analyzed to identify critical variables that are susceptible to the cyber resilience of a smart grid system of systems. Insight drawn from these analyses suggests that overall cyber resilience of the SG system of systems is dependent upon the status of identified factors, and more attention should be directed towards developing the countermeasures against access domain vulnerability. The research also shows the efficacy of a Bayesian network to assess and enhance the overall cyber resilience of the smart grid system of systems.


Energies ◽  
2019 ◽  
Vol 12 (19) ◽  
pp. 3712 ◽  
Author(s):  
Kott ◽  
Kott

The smart concept has changed both household electrical systems (smart home) and the whole electric power system (smart grid). It has facilitated much more efficient electrical energy management. Therefore, there is a need to develop a detailed model and knowledge base at the micro-system level, which can respond to changes in the electric power system. Extensive knowledge (know-how), large financial outlays, and access to modern technologies are necessary in order to design and build a functional smart grid. The first installations were made in highly developed countries. Currently, a significant proportion of newly built power installations in Europe have the features of a smart grid type. Developing countries, such as Poland, should benefit from the experience of other countries in the process of building modern installations. The article addresses the energy performance of a household and the ontology of a household micro-system, while taking into account the possibility of it being controlled via energy management systems (EMS).


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