Robust Coordinated Optimization of Active and Reactive Power in Active Distribution Systems

2018 ◽  
Vol 9 (5) ◽  
pp. 4436-4447 ◽  
Author(s):  
Hongjun Gao ◽  
Junyong Liu ◽  
Lingfeng Wang
2012 ◽  
Vol 614-615 ◽  
pp. 944-948
Author(s):  
Ya Ping Li ◽  
Ke Wang ◽  
Dan Zeng

As the coupling between active and reactive power is enhanced along with the expansion of the grid scale and the AC-DC hybrid operation, voltage stability is not only closely related to reactive power, but also related to active power. By the constraints of generator power circle and its operating limits, the mechanism of interaction between the active and reactive power is clarified. Also, the hierarchy structure of coordinated optimization and control technology between them is established, and an improved AGC control strategy consideration to static voltage stability is proposed. By optimizing the active power output of the AGC unit, the dynamic reactive power reserve capacity of each unit is improved and the system voltage is supported. The strategy is verified through a variety of experiments on the IEEE-39 bus system.


PLoS ONE ◽  
2021 ◽  
Vol 16 (10) ◽  
pp. e0257885
Author(s):  
Li Zhang ◽  
Weigang Huang ◽  
Peng Kang ◽  
Linfeng Zeng ◽  
Yong Zheng ◽  
...  

To promote the coordinated development between renewable energy and the distribution network, a capacity allocation model of battery energy storage systems (BESS) is proposed to achieve the coordinated optimization for active and reactive power flow, which can reduce the voltage deviation and improve the absorptive capacity for renewable energy. In addition, BESS with four-quadrant operation characteristics, on-load tap changer, and capacitor banks are treated as flexible devices to improve the adaptability for renewable energy fluctuations. In view of the uncertainties of renewable energy caused by the inaccuracy of historical sample data, a set of extreme scenarios with the characteristics of temporal and spatial correlation are considered to obtain a robust BESS configuration decision. The big-M approach and the second-order conic relaxation technique are utilized to convert the BESS capacity allocation model into a mixed-integer linear programming problem. Finally, the IEEE 33-node distribution system is taken as an example to verify the effectiveness of the proposed method.


Author(s):  
Eshan Karunarathne ◽  
Jagadeesh Pasupuleti ◽  
Janaka Ekanayake ◽  
Dilini Almeida

<span>Minimization of real power loss and improvement of voltage authenticity of the network are amongst the key issues confronting power systems owing to the heavy demand development problem, contingency of transmission and distribution lines and the financial costs. The distributed generators (DG) has become one of the strongest mitigating strategies for the network power loss and to optimize voltage reliability over integration of capacitor banks and network reconfiguration. This paper introduces an approach for the optimizing the  placement and sizes of different types of DGs in radial distribution systems using a fine-tuned particle swarm optimization (PSO). The suggested approach is evaluated on IEEE 33, IEEE 69 and a real network in Malaysian Context. Simulation results demonstrate the productiveness of active and reactive power injection into the electric power system and the comparison depicts that the suggested fine-tuned PSO methodology could accomplish a significant reduction in network power loss than the other research works.</span>


Sign in / Sign up

Export Citation Format

Share Document