Defining the practical constraints of inserting DG units in distribution systems regarding protection schemes

Summary The distributed generation (DG) is getting extensively integrated in existing power distribution system because of the massive development in green energy technologies and their economical, technical, and environment benefits. However, apart from beneficial aspects, DGs also have various and complex technical limitations, major of which are loss of protection coordination among protection devices which can lead to malfunctioning of protection devices, blind protection, fuse blowing, and permanent outage of power supply due to temporary faults. In this paper, a novel curve fitting technique is designed to restore much influenced recloser‐fuse coordination using the directional properties of midline recloser for upstream and downstream protection devices coordination. It also works on fuse‐saving scheme. Using Electrical Transient Analysis Program (ETAP) Software, the proposed methodology is implemented on a real 11 kV Rajewala radial distribution feeder starting from 132 kV Eimnabad grid station, district Gujranwala, Pakistan. Present here are some key results. Different case studies are carried out and results validate the effectiveness of the proposed methodology, and the coordination among protection devices is sustained even after DGs integration in the system.

Section: Introductionmentioning

confidence: 99%

Sustainable protection coordination in presence of distributed generation with distributed network

Rizwan

Hong

Waseem

et al. 2019

“…Nowadays, there is a considerable growth in the integration of the distributed generation (DG) units with their new technologies and many types of flexible alternating current transmission systems (FACTS) into the distribution systems around the world . The advantages of utilizing DGs involve technical, environmental, and economic benefits such as impacts on line congestion, voltage profile, system stability, protection, power loss, power quality, environmental emissions, and investment costs . In deregulated distribution systems, the operators have to provide customers with suitable quality and security under the existing system configuration, available power capacity, and uncertainties such as the variable power outputs of the renewable resources and the load variations .…”

Section: Introductionmentioning

confidence: 99%

Quadratic optimization method for a dual index combination of the penetration level and the dispersion factor of the distributed generation

Naghdi

Shafiyi

Haghifam

2018

Summary Increasing integration of local generators is a challenge in the planning, design, and operation of the distribution system. The distributed energy resources, especially renewable ones, have caused dispersion of generation units along the feeder. This paper presents a dual index combination of the penetration level and the dispersion factor of distributed generation. Maximum penetration level of distributed generation was determined by a multiobjective function of the proposed dual index. This function has subroutines based on voltage stability, active and reactive power flows, voltage profile limits, and power loss that are restricted by technical constraints associated system with shunt compensator. A limited memory quasi‐Newton trust‐region algorithm was developed to optimize the objective function by using the first‐ and second‐order sensitivities of the nonlinear objective function and a trust region based on the constraints. Two networks were used for testing, and obtained results revealed accuracy and validity of the proposed method.

“…Also, troubles related to system security, safety, and stability may take place. In addition, some impacts concerning the maintenance and malfunctioning may occur …”

Section: Introductionmentioning

confidence: 99%

Switching strategy for DG optimal allocation during repairing fault periods on loop distribution networks

Hamad

el‐Ghany

Azmy

2017

Self Cite

Summary It is expected that the use of distributed generation (DG) will increase sharply in distribution systems, especially with the realization of smart grids. In spite of the benefits of DG in distribution systems, high penetration level of DGs could cause some challenges for the network. Therefore, the optimal sizing and siting of DGs should be identified carefully. In addition, different operating conditions have to be taken into account in this process. The DGs are usually installed depending on optimal siting and sizing techniques considering normal operating periods. During repairing fault periods, different locations and capacities of DGs may be preferable. In this paper, 2 scenarios of switching strategies are presented for attaining the optimal sizing and siting of DGs during repairing fault period starting from the optimal allocation obtained for normal operating period. Genetic algorithm is used for solving the optimization problem that is implemented for an actual loop distribution system in Egypt.