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| Content Provider | IET Digital Library |
|---|---|
| Author | Bohre, Aashish Kumar Agnihotri, Ganga Dubey, Manisha |
| Abstract | In the deregulated power market environment, distributed generation (DG) is an effective approach to manage performance, operation and control of the distribution system. Methods available in the literature for DG planning are often not able to simultaneously provide technical and economical benefits. Therefore an effective methodology is developed to improve the technical as well as economical benefits as compared with the existing approaches. This study reports the optimal installation of multi-DG in the standard 33-bus, 69-bus radial distribution systems and 54-bus practical radial distribution system. Several performance evaluation indices such as active and reactive power loss indices, voltage deviation index, reliability index and shift factor indices are used to develop a novel multi-objective function (MOF). A new set of equations is developed for representing different practical load models. A novel MOF has been solved to find optimal sizing and placement of DGs using genetic algorithm and particle swarm optimisation technique. The comparative result analysis is also discussed for both techniques. The result analysis reveals that system losses, energy not supplied, system MVA intakes are reduced, whereas available transfer capability, voltage profile, reliability and cost benefits are improved for the case with-DGs in the distribution system. |
| Starting Page | 2606 |
| Ending Page | 2621 |
| Page Count | 16 |
| ISSN | 17518687 |
| Volume Number | 10 |
| e-ISSN | 17518695 |
| Issue Number | Issue 11, Aug (2016) |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/iet-gtd/10/11 |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/iet-gtd.2015.1034 |
| Journal | IET Generation, Transmission & Distribution |
| Publisher Date | 2016-08-04 |
| Access Restriction | Open |
| Rights Holder | © The Institution of Engineering and Technology |
| Subject Keyword | 33-bus Radial Distribution Systems 54-bus Practical Radial Distribution System 69-bus Radial Distribution Systems Deregulated Power Market Environment Distributed Generation Distributed Power Generation Electrical Installation Genetic Algorithm Load Model Multiobjective Function Optimal Installation Optimal Placement Optimal Sitting Optimal Sizing Optimisation Technique Particle Swarm Optimisation Power Distribution Reliability Power Market Power System Economics Power System Managemen Power System Operation Reactive Power Reactive Power Loss Index Reliability Reliability Index Shift Factor Index Soft Computing Technique Voltage Deviation Index |
| Content Type | Text |
| Resource Type | Article |
| Subject | Control and Systems Engineering Energy Engineering and Power Technology Electrical and Electronic Engineering |
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