scholarly journals A hybrid multi-objective optimization method considering optimization problems in power distribution systems

2015 ◽  
Vol 3 (1) ◽  
pp. 41-50 ◽  
Author(s):  
Ken KURODA ◽  
Hideki MAGORI ◽  
Tomiyasu ICHIMURA ◽  
Ryuichi YOKOYAMA
Keyword(s):  
Power Distribution ◽  
Distribution Systems ◽  
Optimization Problems ◽  
Optimization Method ◽  
Power Distribution Systems ◽  
Multi Objective Optimization ◽  
Multi Objective

Multi-objective optimization of optimal capacitor allocation in radial distribution systems

2020 ◽  
Vol 21 (3) ◽  
Author(s):  
Sayed Mir Shah Danish ◽  
Mikaeel Ahmadi ◽  
Atsushi Yona ◽  
Tomonobu Senjyu ◽  
Narayanan Krishna ◽  
...  
Keyword(s):  
Radial Distribution ◽  
Distribution System ◽  
Distribution Systems ◽  
Reactive Power ◽  
Stability Index ◽  
Distribution Networks ◽  
Optimization Method ◽  
Optimal Size ◽  
Multi Objective Optimization ◽  
Multi Objective

AbstractThe optimal size and location of the compensator in the distribution system play a significant role in minimizing the energy loss and the cost of reactive power compensation. This article introduces an efficient heuristic-based approach to assign static shunt capacitors along radial distribution networks using multi-objective optimization method. A new objective function different from literature is adapted to enhance the overall system voltage stability index, minimize power loss, and to achieve maximum net yearly savings. However, the capacitor sizes are assumed as discrete known variables, which are to be placed on the buses such that it reduces the losses of the distribution system to a minimum. Load sensitive factor (LSF) has been used to predict the most effective buses as the best place for installing compensator devices. IEEE 34-bus and 118-bus test distribution systems are utilized to validate and demonstrate the applicability of the proposed method. The simulation results obtained are compared with previous methods reported in the literature and found to be encouraging.

scholarly journals New multiobjective optimization algorithm using NBI-SASP approaches for mechanical structural problems

2022 ◽  
Vol 13 ◽  
pp. 4
Author(s):  
Samira El Moumen ◽  
Siham Ouhimmou
Keyword(s):  
Multiobjective Optimization ◽  
Optimization Problems ◽  
Pareto Frontier ◽  
Optimization Method ◽  
Multi Objective Optimization ◽  
Design Problems ◽  
Multi Objective ◽  
Structural Problems ◽  
Engineering Design Problems ◽  
Set Of Points

Various engineering design problems are formulated as constrained multi-objective optimization problems. One of the relevant and popular methods that deals with these problems is the weighted method. However, the major inconvenience with its application is that it does not yield a well distributed set. In this study, the use of the Normal Boundary Intersection approach (NBI) is proposed, which is effective in obtaining an evenly distributed set of points in the Pareto set. Given an evenly distributed set of weights, it can be strictly shown that this approach is absolutely independent of the relative scales of the functions. Moreover, in order to ensure the convergence to the Global Pareto frontier, NBI approach has to be aligned with a global optimization method. Thus, the following paper suggests NBI-Simulated Annealing Simultaneous Perturbation method (NBI-SASP) as a new method for multiobjective optimization problems. The study shall test also the applicability of the NBI-SASP approach using different engineering multi-objective optimization problems and the findings shall be compared to a method of reference (NSGA). Results clearly demonstrate that the suggested method is more efficient when it comes to search ability and it provides a well distributed global Pareto Front.

scholarly journals Multi-objective Evolutionary Algorithms for Power Distribution System Optimal Reconfiguration

2019 ◽  
Vol 22 (3) ◽  
Author(s):  
Ivo Benitez Cattani
Keyword(s):  
Power Distribution ◽  
Distribution System ◽  
Distribution Systems ◽  
Multi Objective Optimization ◽  
Power Losses ◽  
Nsga Ii ◽  
Power Distribution System ◽  
Multi Objective ◽  
Three Phase ◽  
Unbalanced Voltage

In this paper two reconfiguration methodologies for three-phase electric power distribution systems based on multi-objective optimization algorithms are developed in order to simultaneously optimize two objective functions, (1) power losses and (2) three-phase unbalanced voltage minimization. The proposed optimization involves only radial topology configurations which is the most common configuration in electric distribution systems. The formulation of the problem considers the radiality as a constraint, increasing the computational complexity. The Prim and Kruskal algorithms are tested to fix infeasible configurations. In distribution systems, the three-phase unbalanced voltage and power losses limit the power supply to the loads and may even cause overheating in distribution lines, transformers and other equipment. An alternative to solve this problem is through a reconfiguration process, by opening and/or closing switches altering the distribution system configuration under operation. Hence, in this work the three-phase unbalanced voltage and power losses in radial distribution systems are addressed as a multi-objective optimization problem, firstly, using a method based on weighted sum; and, secondly, implementing NSGA-II algorithm. An example of distribution system is presented to prove the effectiveness of the proposed method.

scholarly journals Multi-Objective Optimal Charging Control of Plug-In Hybrid Electric Vehicles in Power Distribution Systems

Energies ◽  
2019 ◽  
Vol 12 (13) ◽  
pp. 2563 ◽  
Author(s):  
Wei Li ◽  
Zhiyun Lin ◽  
Kai Cai ◽  
Hanyun Zhou ◽  
Gangfeng Yan
Keyword(s):  
Electric Vehicles ◽  
Power Distribution ◽  
Distribution Systems ◽  
Hybrid Electric Vehicles ◽  
Power Distribution Systems ◽  
Power Distribution System ◽  
Multi Objective ◽  
Power Load ◽  
Hybrid Electric ◽  
Coordinated Charging

With the increasing popularity of plug-in hybrid electric vehicles (PHEVs), the coordinated charging of PHEVs has become an important issue in power distribution systems. This paper employs a multi-objective optimization model for coordinated charging of PHEVs in the system, in which the problem of valley filling and total cost minimization are both investigated under the system’s technical constraints. To this end, a hierarchical optimal algorithm combining the water-filling-based algorithm with the consensus-based method is proposed to solve the constrained optimization problem. Moreover, a moving horizon approach is adopted to deal with the case where PHEVs arrive and leave randomly. We show that the proposed algorithm not only enhances the stability of the power load but also achieves the global minimization of vehicle owners charging costs, and its implementation is convenient in the multi-level power distribution system integrating the physical power grid with a heterogeneous information network. Numerical simulations are presented to show the desirable performance of the proposed algorithm.

Multi-Objective Optimization Methods of Plate Solid Oxide Fuel Cell's Temperature System

2013 ◽  
Vol 694-697 ◽  
pp. 728-733
Author(s):  
Xin Liu ◽  
Xiao Hong Hao ◽  
Xin Hua Yang ◽  
Ai Min An ◽  
Hao Chen Zhang
Keyword(s):  
Optimization Problems ◽  
External Disturbance ◽  
Operating Mode ◽  
Optimization Methods ◽  
Optimization Method ◽  
Solid Oxide ◽  
Working Environment ◽  
Oxide Fuel ◽  
Multi Objective Optimization ◽  
Multi Objective

The working environment of Solid Oxide Fuel Cells (SOFC) includes high temperature and speedy chemical reaction. The improved control structure and optimization method for the simplified temperature system of SOFC are proposed in this paper. It designs a real-time cascade PID controller for dynamic reactive temperatures of SOFC which vary significantly as the external disturbance or operating mode changes. Considering the efficiency of fuel utility and output power are incommensurable multiple goals, some fuzzy-based rules are introduced to solve these complex multi-objective optimization problems. The experiments’ result shows that the controllers have good robustness and quickness when the system is under the mode with external disturbances.

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