scholarly journals Cost-optimal operation and recovery method for power distribution systems considering multiple flexible resources and logistics restrictions

2022 ◽  
Vol 49 ◽  
pp. 101761
Author(s):  
Wenhu Tang ◽  
Zepeng Li ◽  
Zeyuan Yu ◽  
Tong Qian ◽  
Xianglong Lian ◽  
...  
2020 ◽  
Vol 14 (5) ◽  
pp. 883-892 ◽  
Author(s):  
Qiangqiang Xie ◽  
Hongxun Hui ◽  
Yi Ding ◽  
Chengjin Ye ◽  
Zhenzhi Lin ◽  
...  

Energies ◽  
2019 ◽  
Vol 12 (10) ◽  
pp. 1902 ◽  
Author(s):  
Qiangqiang Xie ◽  
Xiangrong Shentu ◽  
Xusheng Wu ◽  
Yi Ding ◽  
Yongzhu Hua ◽  
...  

The growing penetration of photovoltaic (PV) systems may cause an over-voltage problem in power distribution systems. Meanwhile, charging of massive electric vehicles may cause an under-voltage problem. The over- and under-voltage problems make the voltage regulation become more challenging in future power distribution systems. Due to the development of smart grid and demand response, flexible resources such as PV inverters and controllable loads can be utilized for voltage regulation in distribution systems. However, the voltage regulation needs to calculate the nonlinear power flow; as a result, utilizing flexible resources for voltage regulation is a nonlinear scheduling problem requiring heavy computational resources. This study proposes an intelligent search algorithm called voltage ranking search algorithm (VRSA) to solve the optimization of flexible resource scheduling for voltage regulation. The VRSA is built based on the features of radial power distribution systems. A numerical simulation test is carried out on typical power distribution systems. The VRSA is compared with the genetic algorithm and voltage sensitivity method. The results show that the VRSA has the best optimization effect among the three algorithms. By utilizing flexible resources through demand response, the tap operation times of on-load tap changers can be reduced.


Energies ◽  
2022 ◽  
Vol 15 (1) ◽  
pp. 314
Author(s):  
Md Shahin Alam ◽  
Seyed Ali Arefifar

Multi-microgrids have gained interest in academics and industry in recent years. Multi-microgrid (MG) allows the integration of different distributed energy resources (DERs), including intermittent renewables and controllable local generators, and provides a more flexible, reliable, and efficient power grid. This research formulates and proposes a solution for finding optimal location and operation of mobile energy storage (MES) in multi-MG power distribution systems (PDS) with different resources during extreme events to maximize system resiliency. For this purpose, a multi-stage event-based system resiliency index is defined and the impact of the Internet of things (IoT) application in MES operation in multi-MG systems is investigated. Moreover, the demand and price uncertainty impact on multi-MG operational performance indices is presented. This research uses a popular PG & E 69-bus multi-MG power distribution network for simulation and case studies. A new hybrid PSO-TS optimization algorithm is constructed for the simulations to better understand the contributions of MES units and different DERs and IoT on the operational aspects of a multi-MG system. The results obtained from the simulations illustrate that optimal operation of MES and other energy resources, along with the corresponding energy sharing strategies, significantly improves the distribution system operational performance.


2012 ◽  
Vol E95.B (6) ◽  
pp. 1990-1996
Author(s):  
Seiya ABE ◽  
Sihun YANG ◽  
Masahito SHOYAMA ◽  
Tamotsu NINOMIYA ◽  
Akira MATSUMOTO ◽  
...  

Mathematics ◽  
2018 ◽  
Vol 6 (9) ◽  
pp. 158
Author(s):  
Farzaneh Pourahmadi ◽  
Payman Dehghanian

Allocation of the power losses to distributed generators and consumers has been a challenging concern for decades in restructured power systems. This paper proposes a promising approach for loss allocation in power distribution systems based on a cooperative concept of game-theory, named Shapley Value allocation. The proposed solution is a generic approach, applicable to both radial and meshed distribution systems as well as those with high penetration of renewables and DG units. With several different methods for distribution system loss allocation, the suggested method has been shown to be a straight-forward and efficient criterion for performance comparisons. The suggested loss allocation approach is numerically investigated, the results of which are presented for two distribution systems and its performance is compared with those obtained by other methodologies.


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