Results 11 to 20 of about 442,906 (262)

Machine Learning-Based Forecasting Active Power Loss in Distribution Systems [PDF]

open access: yesE3S Web of Conferences
This paper presents an ensemble learning approach to predict the active power losses during the allocation and sizing of distributed generation (DG) units in power distribution networks.
Haider Waseem   +3 more
doaj   +1 more source

Reactive Power Compensation Capacity Optimization Method Based on BSSSO Algorithm

open access: yesZhongguo dianli, 2023
The objective of reactive compensation capacity is to minimize the active power loss and take into account the voltage balance. Firstly, according to the actual optimization of reactive power compensation capacity, a multi-objective reactive power ...
Shenglong QI   +5 more
doaj   +1 more source

Optimal Distribution Network Reconfiguration through Integration of Cycle-Break and Genetic Algorithms

open access: yesEnergies, 2018
This paper presents novel cycle-break (spanning tree generation) algorithms which can be used to find the optimal distribution network topology. These algorithms (adjacency matrix/top-down/bottom-up cycle break) represent a novel way of obtaining radial ...
Rade Čađenović   +3 more
doaj   +1 more source

Dual Ascent Algorithm-Based Improved Droop Control for Efficient Operation of AC Microgrid

open access: yesFrontiers in Electronics, 2022
In this work, the loss (including wire loss and converter loss) of island three-phase AC microgrid is modeled as a quadratic function of the current distribution coefficient, that is, a concave function with equality and inequality constraints.
Yajie Jiang, Yun Yang
doaj   +1 more source

Evaluation of an Optimal Radial-Loop Configuration for a Distribution Network With PV Systems to Minimize Power Loss

open access: yesIEEE Access, 2020
This paper proposes a method to determine an optimal radial-loop configuration to minimize power loss in a distribution network with photovoltaic (PV) systems and evaluates the effectiveness of this configuration.
Akihisa Kaneko   +4 more
doaj   +1 more source

Optimal Site and Size of Distributed Generation Allocation in Radial Distribution Network Using Multi-objective Optimization

open access: yesJournal of Modern Power Systems and Clean Energy, 2021
Distributed generation (DG) allocation in the distribution network is generally a multi-objective optimization problem. The maximum benefits of DG injection in the distribution system highly depend on the selection of an appropriate number of DGs and ...
Aamir Ali, M. U. Keerio, J. A. Laghari
doaj   +1 more source

An Energy Management Optimization Strategy for Regional Power Grid Energy Storage System Based on Improved Artificial Bee Colony Algorithm

open access: yesZhongguo dianli, 2022
In order to improve the new energy consumption level and system operation efficiency, it is necessary to optimize the charging and discharging power of energy storage system, so as to stabilize power fluctuation, reduce network loss and improve economic ...
Ziqi WANG   +3 more
doaj   +1 more source

An improved MOPSO technique based optimal location and size of DGs in distribution power grids considering true multi-objectives

open access: yesEngineering and Applied Science Research, 2023
Distribution grids have received a lot of attention lately because of the increase in load demand. Promoting the widespread use of distributed generation (DG) is a strategy to meet the growing demand for energy.
Fouad Zaro
doaj  

Heating elements of flexible tape in current mode power supply of complex form [PDF]

open access: yesОмский научный вестник, 2019
The paper presents the results of studies of energy and technological parameters of the elements of heating flexible tape at different electrical modes: when powered by alternating current of 50 Hz; constant (rectified) current; current of complex ...
E. V. Ptitsyna   +2 more
doaj   +1 more source

Optimization of Active Power Losses in Smart Grids Using Photovoltaic Power Plants [PDF]

open access: yesEnergies, 2022
This article addresses the reduction of power losses in smart grids. Two optimization algorithms are used in this article. The first method is the enumerative method. The second method of the optimization calculation is based on the self-organizing migrating algorithm.
Daniel Pál   +3 more
openaire   +2 more sources

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