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[matlab4

Description: matlab编的6节点电网规划扩展改进粒子群算法程序,相当难得的优秀程序-matlab code of the 6-bus network planning expansion of improved particle swarm optimization process, a rare quality procedures
Platform: | Size: 20480 | Author: 苏怡益 | Hits:

[matlabAC_DFIG

Description: This program is to reconfigure distribution network by Binary Particle Swarm Optimization (BPSO) method for 33-bus distribution network. The object function is to minimize power loss. It runs in matpower 4.1 version. How to run it: 1. Download matpower version 4.1 for free at below link: http://www.pserc.cornell.edu//matpower/ 2. Extract matpower4.1 into folder. 3. Copy 3 files main.m case33.m and swarm33.m into folder matpower. 4. Run file main.m For 33 bus distribution network data, refer to the pdf file 33bus.-This program is to reconfigure distribution network by Binary Particle Swarm Optimization (BPSO) method for 33-bus distribution network. The object function is to minimize power loss. It runs in matpower 4.1 version. How to run it: 1. Download matpower version 4.1 for free at below link: http://www.pserc.cornell.edu//matpower/ 2. Extract matpower4.1 into folder. 3. Copy 3 files main.m case33.m and swarm33.m into folder matpower. 4. Run file main.m For 33 bus distribution network data, refer to the pdf file 33bus.
Platform: | Size: 57344 | Author: jafar | Hits:

[matlabHVAC_Transmission

Description: This program is to reconfigure distribution network by Binary Particle Swarm Optimization (BPSO) method for 33-bus distribution network. The object function is to minimize power loss. It runs in matpower 4.1 version. How to run it: 1. Download matpower version 4.1 for free at below link: http://www.pserc.cornell.edu//matpower/ 2. Extract matpower4.1 into folder. 3. Copy 3 files main.m case33.m and swarm33.m into folder matpower. -This program is to reconfigure distribution network by Binary Particle Swarm Optimization (BPSO) method for 33-bus distribution network. The object function is to minimize power loss. It runs in matpower 4.1 version. How to run it: 1. Download matpower version 4.1 for free at below link: http://www.pserc.cornell.edu//matpower/ 2. Extract matpower4.1 into folder. 3. Copy 3 files main.m case33.m and swarm33.m into folder matpower.
Platform: | Size: 26624 | Author: jafar | Hits:

[matlabVSC_HVDC1234

Description: This program is to reconfigure distribution network by Binary Particle Swarm Optimization (BPSO) method for 33-bus distribution network. The object function is to minimize power loss. It runs in matpower 4.1 version. How to run it: 1. Download matpower version 4.1 for free at below link: http://www.pserc.cornell.edu//matpower/ 2. Extract matpower4.1 into folder. 3. Copy 3 files main.m case33.m and swarm33.m into folder matpower. network data, refer to the pdf file 33bus.-This program is to reconfigure distribution network by Binary Particle Swarm Optimization (BPSO) method for 33-bus distribution network. The object function is to minimize power loss. It runs in matpower 4.1 version. How to run it: 1. Download matpower version 4.1 for free at below link: http://www.pserc.cornell.edu//matpower/ 2. Extract matpower4.1 into folder. 3. Copy 3 files main.m case33.m and swarm33.m into folder matpower. network data, refer to the pdf file 33bus.
Platform: | Size: 34816 | Author: jafar | Hits:

[matlabMMCmodel

Description: This program is to reconfigure distribution network by Binary Particle Swarm Optimization (BPSO) method for 33-bus distribution network. The object function is to minimize power loss. It runs in matpower 4.1 version. How to run it: 1. Download matpower version 4.1 for free at below link: http://www.pserc.cornell.edu//matpower/ 2. Extract matpower4.1 into folder.
Platform: | Size: 32768 | Author: jafar | Hits:

[Industry researchA-combination-of-genetic-algorithm-and-particle-s

Description: A combination of genetic algorithm and particle swarm optimization for optimal DG location and sizing in distribution systems Distributed generation (DG) sources are becoming more prominent in distribution systems due to the incremental demands for electrical energy. Locations and capacities of DG sources have profoundly impacted on the system losses in a distribution network. In this paper, a novel combined genetic algorithm (GA)/particle swarm optimization (PSO) is presented for optimal location and sizing of DG on distribution systems. The objective is to minimize network power losses, better voltage regulation and improve the voltage stability within the frame-work of system operation and security constraints in radial distribution systems. A detailed performance analysis is carried out on 33 and 69 bus systems to demonstrate the effectiveness of the proposed methodology.
Platform: | Size: 534528 | Author: fifo_enp | Hits:

[Othercodes

Description: In this file Dynamic simulation of the IEEE 14 bus test case network, with physical synchronous machine models and photovoltaic inverters (renewable sources).is done in eigenvalue m file. A delta delta transformer modeling is done in the deltadelta simulink model. An optimization in the presence of demand response and wind power with real time pricing method is done in the RTPdemandwind file. The bnn2013anew simulink model is a model of AC grid with Dc load.
Platform: | Size: 54272 | Author: vivi68 | Hits:

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