scholarly journals Improved power flow algorithm for hybrid AC/DC grid with reactive power control

2017 ◽  
Vol 2017 (13) ◽  
pp. 2009-2014
Author(s):  
Zhou Qian ◽  
Zhang Ningyu ◽  
Zhu Xinyao ◽  
Zhao Jingbo ◽  
Chen Zhe
Keyword(s):  
Power Control ◽  
Power Flow ◽  
Reactive Power ◽  
Reactive Power Control ◽  
Flow Algorithm

Application of Newton's optimal power flow in voltage/reactive power control

1990 ◽  
Vol 5 (4) ◽  
pp. 1447-1454 ◽  
Author(s):  
M. Bjelogrlic ◽  
M.S. Calovic ◽  
P. Ristanovic ◽  
B.S. Babic
Keyword(s):  
Power Control ◽  
Power Flow ◽  
Optimal Power Flow ◽  
Reactive Power ◽  
Reactive Power Control ◽  
Optimal Power

scholarly journals Voltage and Reactive Power Control in DFIG Wind Farm Load bus by FACT Device – UPFC

2021 ◽  
Vol 23 (12) ◽  
pp. 207-211
Author(s):  
DR . Dipesh. M .Patel ◽  
◽  
Prof. (Dr.) Karunesh Saxena ◽  
Keyword(s):  
Power Control ◽  
Power Flow ◽  
Wind Farm ◽  
Reactive Power ◽  
Unified Power Flow Controller ◽  
Reactive Power Control ◽  
Flow Controller ◽  
Doubly Fed ◽  
Farm System ◽  
Power Flow Controller

This paper deals with the analysis and simulation of the Unified Power Flow Controller (UPFC) for Grid connected DFIG wind farm system mitigation. The purpose of the paper is to derive and analyze a reactive power control strategy of UPFC dedicated for DFIG mitigation. The FACT device Unified Power Flow Controller (UPFC) is connected with load bus. Paper has demonstrated the improvement in voltages, power transferred to grid, active and reactive power control. Matlab/simulink is used for the work. Paper demonstrated the simulation results for with and without UPFC for Grid connected Doubly Fed Induction Generator wind farm system.

scholarly journals Power Flow Management Algorithm for a Remote Microgrid Based on Artificial Intelligence Techniques

2021 ◽  
Author(s):  
Karim Belmokhtar ◽  
Mauricio Higuita Cano
Keyword(s):  
Artificial Intelligence ◽  
Power Control ◽  
Power Flow ◽  
Reactive Power ◽  
Reactive Power Control ◽  
Rapid Variation ◽  
Flow Management ◽  
Management Algorithm ◽  
Power Control Algorithm ◽  
Res Integration

This paper presents a novel power flow management algorithm for remote microgrids based on artificial intelligence (AI) algorithms. The objectives of this power management system are enhancing microgrid reliability, improving renewable energy source (RES) integration, and performing active/reactive power control for remote microgrids using the fuzzy logic. This paper evaluates the performance of the proposed algorithm, which consists of both sharing diesel genset active power and regulating reactive power by using stepped and variable profiles of the load, wind speed and solar irradiation. According to the simulation results, better performance is achieved regardless of the rapid variation of different profiles. Thus, both stability and reliability of remote microgrids are demonstrated with the proposed algorithm. Indeed, the active/reactive power control algorithm responds quickly to different events on the remote microgrid, especially to rapid voltage/frequency variations on the AC-link system.

scholarly journals Comparison of Reactive Power Control Techniques for Solar PV Inverters to Mitigate Voltage Rise in Low-Voltage Grids

Electronics ◽  
2021 ◽  
Vol 10 (13) ◽  
pp. 1569
Author(s):  
Dilini Almeida ◽  
Jagadeesh Pasupuleti ◽  
Janaka Ekanayake
Keyword(s):  
Power Control ◽  
Power Factor ◽  
Power Flow ◽  
Reactive Power ◽  
Low Voltage ◽  
Voltage Regulation ◽  
Solar Pv ◽  
Reactive Power Control ◽  
Control Techniques ◽  
Power Factor Control

The greater integration of solar photovoltaic (PV) systems into low-voltage (LV) distribution networks has posed new challenges for the operation of power systems. The violation of voltage limits attributed to reverse power flow has been recognized as one of the significant consequences of high PV penetration. Thus, the reactive power control of PV inverters has emerged as a viable solution for localized voltage regulation. This paper presents a detailed study on a typical Malaysian LV distribution network to demonstrate the effectiveness of different reactive power control techniques in mitigating overvoltage issues due to high PV integration. The performance of four reactive power control techniques namely, fixed power factor control, scheduled power factor control, power factor control as a function of injected active power, and voltage-dependent reactive power control were analyzed and compared in terms of the number of customers with voltage violations, reactive power compensation, and network losses. Three-phase, time-series, high-resolution power-flow simulations were performed to investigate the potential overvoltage issues and to assess the performance of the adoption of reactive power controls in the network. The simulation results revealed that the incorporation of reactive power controls of solar PV inverters aids in successfully mitigating the overvoltage issues of typical Malaysian networks. In particular, the Volt-Var control outperformed the other control techniques by providing effective voltage regulation while requiring less reactive power compensation. Furthermore, the comparative analysis highlighted the significance of employing the most appropriate control technique for improved network performance.

Optimal Reactive Power Control in Power System with Particle Swarm Optimization Technique

2019 ◽  
Vol 891 ◽  
pp. 246-252
Author(s):  
Nattachote Rugthaicharoencheep ◽  
Manat Boonthienthong ◽  
Aroon Charlangsut
Keyword(s):  
Particle Swarm Optimization ◽  
Power System ◽  
Power Control ◽  
Power Flow ◽  
Optimal Power Flow ◽  
Reactive Power ◽  
Reactive Power Control ◽  
Swarm Optimization ◽  
Optimal Power ◽  
Secondary Voltage

This paper considers an application of Newton's optimal power flow to the solution of the secondary voltage/reactive power control in power system. This procedure is based on the sensitivity theory applied to the determination of zones for the secondary voltage/ reactive power control and corresponding reduced set of regulating sources, whose reactive outputs represent control variables in the optimal power flow program. PSO is applied to solve the OPF problem for optimal power flow the optimal power flow program output becomes a schedule to be used by operators in the process of OPF-PSO (Optimal Power Flow - Particle swarm optimization) PSO applied to optimal reactive power dispatch is evaluated on an IEEE 30-bus power system. The optimization strategy is general and can be used to solve other power system optimization problems as well.

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