Complex Power Flexibility Evaluation using Energy Arbitrage between Transmission and Distribution

2022 ◽  
Vol 203 ◽  
pp. 107641
Author(s):  
Rohit Vijay ◽  
Parul Mathuria
Author(s):  
Iyappan Murugesan ◽  
Karpagam Sathish

: This paper presents electrical power system comprises many complex and interrelating elements that are susceptible to the disturbance or electrical fault. The faults in electrical power system transmission line (TL) are detected and classified. But, the existing techniques like artificial neural network (ANN) failed to improve the Fault Detection (FD) performance during transmission and distribution. In order to reduce the power loss rate (PLR), Daubechies Wavelet Transform based Gradient Ascent Deep Neural Learning (DWT-GADNL) Technique is introduced for FDin electrical power sub-station. DWT-GADNL Technique comprises three step, normalization, feature extraction and FD through optimization. Initially sample power TL signal is taken. After that in first step, min-max normalization process is carried out to estimate the various rated values of transmission lines. Then in second step, Daubechies Wavelet Transform (DWT) is employed for decomposition of normalized TLsignal to different components for feature extraction with higher accuracy. Finally in third step, Gradient Ascent Deep Neural Learning is an optimization process for detecting the local maximum (i.e., fault) from the extracted values with help of error function and weight value. When maximum error with low weight value is identified, the fault is detected with lesser time consumption. DWT-GADNL Technique is measured with PLR, feature extraction accuracy (FEA), and fault detection time (FDT). The simulation result shows that DWT-GADNL Technique is able to improve the performance of FEA and reduces FDT and PLR during the transmission and distribution when compared to state-of-the-art works.


Author(s):  
Laura Empson

This book analyses the complex power dynamics and interpersonal politics that lie at the heart of leadership in professional organizations, such as accounting, law, and consulting firms, investment banks, hospitals, and universities. It is based on scholarly research into many of the world’s leading professional organizations across a range of sectors, including interviews with over 500 senior professionals in sixteen countries. Drawing on the latest academic theory to analyse exactly how professionals in organizations come together to create ‘leadership’, it provides new insights into how leaders lead when there is no traditional hierarchy to support them, their own authority is contingent, and they must constantly renegotiate relationships with relatively autonomous professional peers. It explores how leaders persuade highly intelligent, educated, and opinionated professionals to work together; how change happens within professional organizations; and why leaders so often fail. Part I introduces the concept of plural leadership, analysing how leaders establish and maintain their positions within leadership constellations, and the implications for governance in the context of collective or distributed leadership. Part II examines the complex, challenging relationships between professionals as they seek to influence their organizations, including the phenomena of leadership dyads, insecure overachievers, social control, and the rise of the management professional. Part III examines the shifts in the locus of power as professional organizations grow, adapt, and react to external stimuli such as mergers and acquisitions and economic crises. The conclusion identifies the paradoxes inherent in professional organizations and examines the role of leaders in attempting to reconcile them.


Energies ◽  
2021 ◽  
Vol 14 (2) ◽  
pp. 513
Author(s):  
Henryk Majchrzak ◽  
Michał Kozioł

The balancing of the power of the Polish Power System (KSE) is a key element in ensuring the safety of electric energy supplies to end users. This article presents an analysis of the power demand in power systems (PS), with emphasis on the typical power variability both in subsequent hours of the day and on particular days and in particular months each year. The methodology for calculating the costs of electric energy undelivered to the end users and the amount of these costs for KSE is presented. Different possibilities have been analyzed for balancing power systems’ peak load and assumptions have been formulated for calculating the amount of the related costs. On this basis, a comparative analysis has been made of the possibility to balance peak load using operators’ system services, trans-border connections, and various energy storage solutions. On the basis of the obtained results, optimal tools have been proposed for market-based influence from transmission and distribution system operators on energy market participants’ behaviors in order to ensure the power systems’ operating safety and continuous energy deliveries to end users.


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