Simultaneous network reconfiguration and capacitor allocations using a novel dingo optimization algorithm
نویسندگان
چکیده
<span>Power loss and voltage magnitude fluctuations are two major issues in distribution networks that have drawn a lot of attention. Numerous strategies been put forward to provide remedies lessen the undesirable effects these issues. Combining approaches dealing with them simultaneously get more effective outcomes is essential. Therefore, this study hybridizes network reconfiguration capacitor allocation using novel dingo optimization algorithm (DOA) solve problems. The problems for simultaneous allocations were formulated solved DOA. To demonstrate its effectiveness, DOA’s results contrasted those other techniques. methodology was validated on IEEE 33-bus implemented MATLAB program. demonstrated best accomplished switches 7, 11, 17, 27, 34 open, buses 8, 29, 30 places capacitors ideal sizes 512, 714, 495 kVAr, respectively. profile significantly improved, power losses decreased. When compared some different methods, DOA came out top.</span>
منابع مشابه
Simultaneous Placement of Capacitor and DG in Distribution Networks Using Particle Swarm Optimization Algorithm
Nowadays, using distributed generation (DG) resources, such as wind and solar, also improving the voltage profile in distribution companies has been considered. As optimal placement and sizing of shunt capacitors become more prevalent, utilities want to determine the impact of the various capacitors placement in distribution systems. Locating and determining the optimal capacity of shunt capaci...
متن کاملMulti-objective Reconfiguration of Distribution Network Using a Heuristic Modified Ant Colony Optimization Algorithm
In this paper, a multi-objective reconfiguration problem has been solved simultaneously by a modified ant colony optimization algorithm. Two objective functions, real power loss and energy not supplied index (ENS), were utilized. Multi-objective modified ant colony optimization algorithm has been generated by adding non-dominated sorting technique and changing the pheromone updating rule of ori...
متن کاملSimultaneous Network Reconfiguration and Capacitor Placement for Loss Reduction of Distribution Systems by Ant Colony Optimization Algorithm
The objective of this study is to solve the simultaneous network reconfiguration and capacitor placement for loss reduction in distribution systems. The work employs a meta-heuristic method called Ant Colony Optimization (ACO). The ACO algorithm tries to emulate the behaviour of real ants by which they are able to identify the shortest path between a food source and their nest. The proposed app...
متن کاملmulti-objective reconfiguration of distribution network using a heuristic modified ant colony optimization algorithm
in this paper, a multi-objective reconfiguration problem has been solved simultaneously by a modified ant colony optimization algorithm. two objective functions, real power loss and energy not supplied index (ens), were utilized. multi-objective modified ant colony optimization algorithm has been generated by adding non-dominated sorting technique and changing the pheromone updating rule of ori...
متن کاملEconomic Evaluation of Optimal Capacitor Placement in Reconfiguration Distribution System Using Genetic Algorithm
Optimal capacitor placement, considering power system loss reduction, voltage profile improvement, line reactive power decrease and power factor correction, is of particular importance in power system planning and control. The distribution system operator calculates the optimal place, number and capacity of capacitors based on two major purposes: active power loss reduction and return on invest...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Power Electronics and Drive Systems
سال: 2023
ISSN: ['2722-2578', '2722-256X']
DOI: https://doi.org/10.11591/ijece.v13i3.pp2384-2395