Optimal integration of different types of DGs in radial distribution system by using Harris hawk optimization algorithm
The probable availability of renewable power sources is unexceptionable, and the government of India is setting high goals for the use of renewable energy. Renewable distributed generation (DG) reduces the need for fossil fuels, relieve environment change, and decrease radiations of CO2 and other pe...
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2020-01-01
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| Series: | Cogent Engineering |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.1080/23311916.2020.1823156 |
| _version_ | 1827885512079179776 |
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| author | Ponnam Venkata K. Babu K. Swarnasri |
| author_facet | Ponnam Venkata K. Babu K. Swarnasri |
| author_sort | Ponnam Venkata K. Babu |
| collection | DOAJ |
| description | The probable availability of renewable power sources is unexceptionable, and the government of India is setting high goals for the use of renewable energy. Renewable distributed generation (DG) reduces the need for fossil fuels, relieve environment change, and decrease radiations of CO2 and other perfluorocarbons. DGs and capacitors are more desirable choices to balance power demand closer to the load centres than centralized power generation. Optimal position and capacity of DGs play an essential role in enhancing the performance of distribution systems in terms of system loss mitigation, voltage profile enhancement and stability concerns. This paper introduces Harris Hawk Optimization (HHO) and Teaching Learning-Based Optimization (TLBO) approaches for efficient distribution of different types of DGs in the radial distribution system (RDS) to enhance system loss minimization, voltage profile, yearly energy savings and decreasing the greenhouse gas emissions. The aim is to depreciate system energy losses, cost of energy losses and more reliable voltage regulation within the frame-work of RDS planning. Four different cases are considered to assess the suggested algorithms. Simulations are carried out on IEEE 33-bus and 69-bus test RDSs. The preponderance of the recommended approaches has been shown by analysing the results with techniques available in the literature. The comparison is made based on the power losses and voltage profile of RDS. The outcomes reveal that a significant decrease in power loss, enrichment of the voltage profile across the network and exactness of the suggested methods. |
| first_indexed | 2024-03-12T19:47:48Z |
| format | Article |
| id | doaj.art-0d92d71a24874596957a6c1b973e7f93 |
| institution | Directory Open Access Journal |
| issn | 2331-1916 |
| language | English |
| last_indexed | 2024-03-12T19:47:48Z |
| publishDate | 2020-01-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Cogent Engineering |
| spelling | doaj.art-0d92d71a24874596957a6c1b973e7f932023-08-02T03:25:48ZengTaylor & Francis GroupCogent Engineering2331-19162020-01-017110.1080/23311916.2020.18231561823156Optimal integration of different types of DGs in radial distribution system by using Harris hawk optimization algorithmPonnam Venkata K. Babu0K. Swarnasri1RVR & JC College of EngineeringRVR & JC College of EngineeringThe probable availability of renewable power sources is unexceptionable, and the government of India is setting high goals for the use of renewable energy. Renewable distributed generation (DG) reduces the need for fossil fuels, relieve environment change, and decrease radiations of CO2 and other perfluorocarbons. DGs and capacitors are more desirable choices to balance power demand closer to the load centres than centralized power generation. Optimal position and capacity of DGs play an essential role in enhancing the performance of distribution systems in terms of system loss mitigation, voltage profile enhancement and stability concerns. This paper introduces Harris Hawk Optimization (HHO) and Teaching Learning-Based Optimization (TLBO) approaches for efficient distribution of different types of DGs in the radial distribution system (RDS) to enhance system loss minimization, voltage profile, yearly energy savings and decreasing the greenhouse gas emissions. The aim is to depreciate system energy losses, cost of energy losses and more reliable voltage regulation within the frame-work of RDS planning. Four different cases are considered to assess the suggested algorithms. Simulations are carried out on IEEE 33-bus and 69-bus test RDSs. The preponderance of the recommended approaches has been shown by analysing the results with techniques available in the literature. The comparison is made based on the power losses and voltage profile of RDS. The outcomes reveal that a significant decrease in power loss, enrichment of the voltage profile across the network and exactness of the suggested methods.http://dx.doi.org/10.1080/23311916.2020.1823156distributed generation (dg)fossil fuelsvoltage profilepower lossharris hawk optimization (hho)teaching learning-based optimization (tlbo) |
| spellingShingle | Ponnam Venkata K. Babu K. Swarnasri Optimal integration of different types of DGs in radial distribution system by using Harris hawk optimization algorithm Cogent Engineering distributed generation (dg) fossil fuels voltage profile power loss harris hawk optimization (hho) teaching learning-based optimization (tlbo) |
| title | Optimal integration of different types of DGs in radial distribution system by using Harris hawk optimization algorithm |
| title_full | Optimal integration of different types of DGs in radial distribution system by using Harris hawk optimization algorithm |
| title_fullStr | Optimal integration of different types of DGs in radial distribution system by using Harris hawk optimization algorithm |
| title_full_unstemmed | Optimal integration of different types of DGs in radial distribution system by using Harris hawk optimization algorithm |
| title_short | Optimal integration of different types of DGs in radial distribution system by using Harris hawk optimization algorithm |
| title_sort | optimal integration of different types of dgs in radial distribution system by using harris hawk optimization algorithm |
| topic | distributed generation (dg) fossil fuels voltage profile power loss harris hawk optimization (hho) teaching learning-based optimization (tlbo) |
| url | http://dx.doi.org/10.1080/23311916.2020.1823156 |
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