Optimal size and location of distributed generations using Differential Evolution (DE)

2012 ◽  
Author(s):  
Israfil Hussain ◽  
Anjan Kumar Roy
Keyword(s):  
Differential Evolution ◽  
Optimal Size ◽  
Distributed Generations

A new multiobjective allocator of capacitor banks and distributed generations using a new investigated differential evolution

Complexity ◽  
2013 ◽  
Vol 19 (5) ◽  
pp. 40-54 ◽  
Author(s):  
Mohammad Eskandari Nasab ◽  
Iman Maleksaeedi ◽  
Mohsen Mohammadi ◽  
Noradin Ghadimi
Keyword(s):  
Differential Evolution ◽  
Distributed Generations ◽  
Capacitor Banks

scholarly journals Integration of Distributed Generations in Radial Distribution Network using ABC Algorithm

2019 ◽  
Vol 8 (6) ◽  
pp. 1592-1594
Keyword(s):  
Radial Distribution ◽  
Stability Index ◽  
Distribution Networks ◽  
Sensitivity Index ◽  
Optimal Size ◽  
Voltage Profile ◽  
Distributed Generations ◽  
Abc Algorithm ◽  
Radial Distribution Networks ◽  
The Stability

This paper keeps aim to integrate distributed generations(DGs) in radial distribution networks (RDNs) using ABC algorithm. The appropriate nodes of RDN is found out by the well-established loss sensitivity index. The optimal size of DGs are found out by using the ABC algorithm. The optimal integration of DGs not only reduces the loss but also increases the voltage profile and enhances the voltage stability index and hence improves the stability of the system. Here 33-node and 69-node RDNs are considered to implement the proposed method. The outcomes obtained by ABC algorithm have also been compared with that Firefly, PSO and GA algorithms

scholarly journals Spotted hyena optimizer algorithm for capacitor allocation in radial distribution system with distributed generation and microgrid operation considering different load types

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Amirreza Naderipour ◽  
Zulkurnain Abdul-Malek ◽  
Mohammad Hajivand ◽  
Zahra Mirzaei Seifabad ◽  
Mohammad Ali Farsi ◽  
...  
Keyword(s):  
Radial Distribution ◽  
Reactive Power ◽  
Superior Performance ◽  
Constant Current ◽  
Spotted Hyena ◽  
Optimal Size ◽  
Distributed Generations ◽  
Operation Modes ◽  
Power Injection ◽  
The Cost

AbstractIn this paper, the optimal allocation of constant and switchable capacitors is presented simultaneously in two operation modes, grid-connected and islanded, for a microgrid. Different load levels are considered by employing non-dispatchable distributed generations. The objective function includes minimising the energy losses cost, the cost of peak power losses, and the cost of the capacitor. The optimization problem is solved using the spotted hyena optimizer (SHO) algorithm to determine the optimal size and location of capacitors, considering different loading levels and the two operation modes. In this study, a three-level load and various types of loads, including constant power, constant current, and constant impedance are considered. The proposed method is implemented on a 24-bus radial distribution network. To evaluate the performance of the SHO, the results are compared with GWO and the genetic algorithm (GA). The simulation results demonstrate the superior performance of the SHO in reducing the cost of losses and improving the voltage profile during injection and non-injection of reactive power by distributed generations in two operation modes. The total cost and net saving values for DGs only with the capability of active power injection is achieved 105,780 $ and 100,560.54 $, respectively and for DGs with the capability of active and reactive power injection is obtained 89,568 $ and 76,850.46 $, respectively using the SHO. The proposed method has achieved more annual net savings due to the lower cost of losses than other optimization methods.

Adaptive Region-Segmentation Multi-Focus Image Fusion Based on Differential Evolution

2019 ◽  
Vol 33 (03) ◽  
pp. 1954010 ◽  
Author(s):  
Lixia Zhang ◽  
Guangping Zeng ◽  
Jinjin Wei
Keyword(s):  
Differential Evolution ◽  
Image Fusion ◽  
Experimental Result ◽  
Optimal Size ◽  
Laplacian Pyramid ◽  
Region Segmentation ◽  
Initial Decision ◽  
Laplacian Energy ◽  
Adaptive Differential Evolution ◽  
Focus Image

An adaptive region-segmentation based multi-focus image fusion method is presented using a Laplacian pyramid transform which decomposes the pre-registered source images into approximate and detail coefficients. In order to avoid the disadvantage of fixed-size blocks, the adaptive differential evolution scheme is designed to compute the optimal-size block. Firstly, with approximate coefficients, the optimal-size blocks are iteratively calculated by an adaptive differential evolution algorithm. The initial decision diagram is then completed by comparing the regional sum-modified Laplacian energy of two corresponding blocks after the regional sum-modified Laplacian energy is calculated. Secondly, the initial decision diagram is optimized by the guided image filter to obtain the final decision diagram in order to avoid the block effect of boundary. With the decision diagram, the approximate coefficients are fused using the weighted mean rules, while the detail coefficients are fused using the regional gradient energy method. Finally, an inverse Laplacian pyramid transform is used to reconstruct the fused approximate coefficients and fused detail coefficients, and to acquire the fused image where all objects are clear. The experimental result proves that the proposed method produces fusion images of fewer artifacts or additional noise, with higher computational efficiency. The proposed method is also superior to the other state-of-the-art methods in both subjective visual effect and objective quantitative evaluation indicators.

LZW differential evolution for binary encoding

2012 ◽  
Author(s):  
Orawan Watchanupaporn ◽  
Worasait Suwannik
Keyword(s):  
Differential Evolution ◽  
Binary Encoding

The Experience of Industrialization under NEPand Its Application in the Current Conditions

2013 ◽  
pp. 109-135
Author(s):  
Y. Goland
Keyword(s):  
Economic Policy ◽  
Capital Formation ◽  
Optimal Size ◽  
Popular Belief ◽  
New Economic Policy ◽  
Relevant Today ◽  
Domestic Capital

The article refutes popular belief about the necessity to abolish the New Economic Policy (NEP) of the 1920s for the purpose of industrialization. It is shown that it started successfully under NEP although due to a number of reasons the efficiency of the investments was low. The abolishment of NEP was caused not by the necessity to accelerate the industrialization but by the wrong policy towards the agriculture that stopped the development of farms. The article analyzes the discussion about possible rates of the domestic capital formation. In the course of this discussion, the sensible approach to finding the optimal size of investments depending on their efficiency was offered. This approach is still relevant today.

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