A multi-control vehicle-to-grid charger with bi-directional active and reactive power capabilities for power grid support

Energy ◽  
2019 ◽  
Vol 171 ◽  
pp. 1150-1163 ◽  
Author(s):  
Kang Miao Tan ◽  
Sanjeevikumar Padmanaban ◽  
Jia Ying Yong ◽  
Vigna K. Ramachandaramurthy
2019 ◽  
Vol 1 (1) ◽  
Author(s):  
Milad Gheydi ◽  
Sajad Bagheri

Controlling voltage and active or reactive losses are one of the most important issues in each power grid. In this paper, the influence of wind farm and thyristors switched capacitors on the network are considered. TSSC and Wind turbines are one of the significant components of each network. These instruments are also one of the resources of producing active and reactive power. In this study, wind farm and TSSC are already located optimally by Genetic algorithm. This network studied when a fault considered in one of buses. So that, in first step none of wind farm and TSSC are in the power grid. In the second step, both wind farm and TSSC are connected while a short circuit accrues in one of the busses or lines of the network.  At the end, it will be observed that using thyristor switched capacitors and wind farm influence the network. So that, the capacity of producing the reactive and active power will be increased and totally the loss of the system will be decreased. Furthermore, the voltage profile will be in a suitable range.


Energies ◽  
2020 ◽  
Vol 13 (2) ◽  
pp. 452
Author(s):  
Arnob Ghosh ◽  
Vaneet Aggarwal

The distribution side of the traditional power grid is changing as the users (known as prosumers) can inject power to the grid. However, uncontrollable injection of power can destabilize the grid. Thus, the stability of the grid must be maintained. Since the prosumers are self-interested entities, they will take their actions to maximize their own pay-offs. We formulate the problem as a non-cooperative game theoretic problem where the magnitude of the voltage must be within an acceptable limit at each node of the power network. Since the power-flow equations must be satisfied at each node, it becomes a coupled constrained game where the constraints are the same across the prosumers. We propose a distributed penalty based algorithm which converges to an equilibrium. In this mechanism, the prosumers are quoted a price based on the active and reactive power drawn or injected to the power grid. The algorithm is easy to implement and it converges to an efficient solution which maximizes the sum of the utilities of the prosumers while maintaining the grid’s stability.


2016 ◽  
Vol 2016 (5) ◽  
pp. 61-63
Author(s):  
F.P. Govorov ◽  
◽  
V.F. Govorov ◽  

2020 ◽  
Vol 15 (6) ◽  
pp. 456
Author(s):  
Anis Boulal ◽  
Houssam Eddine Chakir ◽  
M'Hamed Drissi ◽  
Hamid Ouadi

2015 ◽  
Vol 9 (1) ◽  
pp. 107-116 ◽  
Author(s):  
Yang Liu-Lin ◽  
Hang Nai-Shan

This paper researched steady power flow control with variable inequality constraints. Since the inverse function of power flow equation is hard to obtain, differentiation coherence algorithm was proposed for variable inequality which is tightly constrained. By this method, tightly constrained variable inequality for variables adjustment relationships was analyzed. The variable constrained sensitivity which reflects variable coherence was obtained to archive accurate extreme equation for function optimization. The hybrid power flow mode of node power with branch power was structured. It also structured the minimum variable model correction equation with convergence and robot being same as conventional power flow. In fundamental analysis, the effect of extreme point was verified by small deviation from constrained extreme equation, and the constrained sensitivity was made for active and reactive power. It pointed out possible deviation by using simplified non-constrained sensitivity to deal with the optimization problem of active and reactive power. The control solutions for power flow for optimal control have been discussed as well. The examples of power flow control and voltage management have shown that the algorithm is simple and concentrated and shows the effect of differential coherence method for extreme point analysis.


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