scholarly journals A Study on the Impact of Distance-Based Value Loss on Transmission Network Power Flow Using Synthetic Networks

Energies ◽  
2022 ◽  
Vol 15 (2) ◽  
pp. 423
Author(s):  
Juhani Rantaniemi ◽  
Jaakko Jääskeläinen ◽  
Jukka Lassila ◽  
Samuli Honkapuro

This paper presents a methodology for rapid generation of synthetic transmission networks and uses it to investigate how a transmission distance-based value loss affects the overall grid power flow. The networks are created with a graph theory-based method and compared to existing energy systems. The power production is located on these synthetic networks by solving a facility location optimization problem with variable distance-based value losses. Next, AC power flow is computed for a snapshot of each network using the Newton–Raphson method and the transmission grid power flow is analyzed. The presented method enables rapid analysis of several grid topologies and offers a way to compare the effects of production incentives and renewable energy policies in different network conditions.

2021 ◽  
Vol 11 (8) ◽  
pp. 3303
Author(s):  
Mohammad Reza Ansari ◽  
Sasan Pirouzi ◽  
Mostafa Kazemi ◽  
Amirreza Naderipour ◽  
Mohamed Benbouzid

This paper presents a method for coordinated network expansion planning (CNEP) in which the difference between the total cost and the flexibility benefit is minimized. In the proposed method, the generation expansion planning (GEP) of wind farms is coordinated with the transmission expansion planning (TEP) problem by using energy storage systems (ESSs) to improve network flexibility. To consider the impact of the reactive power in the CNEP problem, the AC power flow model is used. The CNEP constraints include the AC power flow equations, planning constraints of the different equipment, and the system operating limits. Therefore, this model imposes hard nonlinearity onto the problem, which is linearized by the use of first-order Taylor’s series and the big-M method as well as the linearization of the circular plane. The uncertainty of loads, the energy price, and the wind farm generation are modeled by scenario-based stochastic programming (SBSP). To determine the effectiveness of the proposed solution approach, it is tested on the IEEE 6-bus and 24-bus test systems using GAMS software.


Author(s):  
Joseph F. Udo ◽  
Maruf A. Aminu

In this paper, the result of a study carried out to determine the impact of static VAr compensator on voltage profiles and reactive power flow in the Nigerian 330kV transmission grid network is presented. The research seeks to mitigate the challenge of high reactive power on Jos – Gombe 330kV single circuit transmission line. The high reactive power is produced in that axis as a result of low industrial demand in the North-Eastern region of Nigeria which results in low-inductive loading of the long transmission line that spans from Jos to Gombe and its extension to Yola, Damaturu and Maiduguri. The study also performed optimal placement of the static VAr compensator in the area where it can influence the voltage at the static VAr compensator device connection point by controlling the reactive power flow through the grid. This was accomplished by modeling the existing 330kV Nigerian network in DIgSILENT PowerFactory. The result is an improved power stability on the line between Jos and Gombe. The voltage tolerance with the approved Nigerian Grid Code and compliance was ensured. Also, the static VAr compensator was proposed over reactors due to the fact that it is dynamically switched.


2014 ◽  
Vol 2 ◽  
pp. 65-68
Author(s):  
Takashi Hisakado ◽  
Ryoya Kazaoka ◽  
Kazushi Fukae ◽  
Osami Wada
Keyword(s):  

Author(s):  
Arif Ahmed ◽  
Tobias Massier ◽  
Fiona Stevens McFadden ◽  
Ramesh Rayudu
Keyword(s):  

2021 ◽  
Vol 2 (2) ◽  
pp. 1-21
Author(s):  
Hossam ElHussini ◽  
Chadi Assi ◽  
Bassam Moussa ◽  
Ribal Atallah ◽  
Ali Ghrayeb

With the growing market of Electric Vehicles (EV), the procurement of their charging infrastructure plays a crucial role in their adoption. Within the revolution of Internet of Things, the EV charging infrastructure is getting on board with the introduction of smart Electric Vehicle Charging Stations (EVCS), a myriad set of communication protocols, and different entities. We provide in this article an overview of this infrastructure detailing the participating entities and the communication protocols. Further, we contextualize the current deployment of EVCSs through the use of available public data. In the light of such a survey, we identify two key concerns, the lack of standardization and multiple points of failures, which renders the current deployment of EV charging infrastructure vulnerable to an array of different attacks. Moreover, we propose a novel attack scenario that exploits the unique characteristics of the EVCSs and their protocol (such as high power wattage and support for reverse power flow) to cause disturbances to the power grid. We investigate three different attack variations; sudden surge in power demand, sudden surge in power supply, and a switching attack. To support our claims, we showcase using a real-world example how an adversary can compromise an EVCS and create a traffic bottleneck by tampering with the charging schedules of EVs. Further, we perform a simulation-based study of the impact of our proposed attack variations on the WSCC 9 bus system. Our simulations show that an adversary can cause devastating effects on the power grid, which might result in blackout and cascading failure by comprising a small number of EVCSs.


2001 ◽  
Vol 11 (2) ◽  
pp. 79-88
Author(s):  
A. Sorg ◽  
W. Heckmann ◽  
Th. Weber ◽  
W. H. Wellssow
Keyword(s):  

2014 ◽  
Vol 986-987 ◽  
pp. 377-382 ◽  
Author(s):  
Hui Min Gao ◽  
Jian Min Zhang ◽  
Chen Xi Wu

Heuristic methods by first order sensitivity analysis are often used to determine location of capacitors of distribution power system. The selected nodes by first order sensitivity analysis often have virtual high by first order sensitivities, which could not obtain the optimal results. This paper presents an effective method to optimally determine the location and capacities of capacitors of distribution systems, based on an innovative approach by the second order sensitivity analysis and hierarchical clustering. The approach determines the location by the second order sensitivity analysis. Comparing with the traditional method, the new method considers the nonlinear factor of power flow equation and the impact of the latter selected compensation nodes on the previously selected compensation location. This method is tested on a 28-bus distribution system. Digital simulation results show that the reactive power optimization plan with the proposed method is more economic while maintaining the same level of effectiveness.


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