Optimal siting and sizing of renewable sources in distribution system planning based on life cycle cost and considering uncertainties
The renewable sources have made an impact on economic benefits and the electrical quality of the distribution system. Therefore, a multi-scenario optimization model is proposed, targeting to optimize the investment of renewable sources considering uncertainties based on the minimum life cycle cost....
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| Format: | Article |
| Language: | English |
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AIMS Press
2019-04-01
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| Series: | AIMS Energy |
| Subjects: | |
| Online Access: | https://www.aimspress.com/article/10.3934/energy.2019.2.211/fulltext.html |
| _version_ | 1818505841778622464 |
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| author | V. V. Thang Thanhtung Ha |
| author_facet | V. V. Thang Thanhtung Ha |
| author_sort | V. V. Thang |
| collection | DOAJ |
| description | The renewable sources have made an impact on economic benefits and the electrical quality of the distribution system. Therefore, a multi-scenario optimization model is proposed, targeting to optimize the investment of renewable sources considering uncertainties based on the minimum life cycle cost. The mathematic model allows selecting the siting, sizing and type of renewable sources in distribution system. The objective function is minimizing life-cycle cost of the project during the planning period, including the investment and operation cost of renewable sources, the cost of purchasing energy from the grid, the emission taxes and residual value of the equipment at the end of the planning period. The nonlinear power flow model alternating current is utilized to concurrently balance both active and reactive power at each state as well as the constraints for the limit capacity of feeders. Connectable substation and the constraints in selecting the renewable sources are also represented and thus improving the accuracy of the calculated results of the distribution system. The uncertainty parameters of renewable sources (photovoltaic and wind turbine), electricity price and load were modeled by the probability density functions and are considered in the optimization model. The clustering technique was utilized to divide each parameter into states then all states of parameters are integrated by the combined model. The general algebraic modeling system (GAMS) was applied to solve the optimization problem with the test system and demonstrated the advantages of the proposed model. |
| first_indexed | 2024-12-10T21:56:22Z |
| format | Article |
| id | doaj.art-4f236fe7fc6e4c3fa8568dea5927636c |
| institution | Directory Open Access Journal |
| issn | 2333-8326 2333-8334 |
| language | English |
| last_indexed | 2024-12-10T21:56:22Z |
| publishDate | 2019-04-01 |
| publisher | AIMS Press |
| record_format | Article |
| series | AIMS Energy |
| spelling | doaj.art-4f236fe7fc6e4c3fa8568dea5927636c2022-12-22T01:32:01ZengAIMS PressAIMS Energy2333-83262333-83342019-04-017221122610.3934/energy.2019.2.211Optimal siting and sizing of renewable sources in distribution system planning based on life cycle cost and considering uncertaintiesV. V. Thang0Thanhtung Ha11 Thainguyen University of Technology (TNUT), Thai Nguyen, Vietnam2 School of Electric Power, South China University of Technology, Guangzhou, ChinaThe renewable sources have made an impact on economic benefits and the electrical quality of the distribution system. Therefore, a multi-scenario optimization model is proposed, targeting to optimize the investment of renewable sources considering uncertainties based on the minimum life cycle cost. The mathematic model allows selecting the siting, sizing and type of renewable sources in distribution system. The objective function is minimizing life-cycle cost of the project during the planning period, including the investment and operation cost of renewable sources, the cost of purchasing energy from the grid, the emission taxes and residual value of the equipment at the end of the planning period. The nonlinear power flow model alternating current is utilized to concurrently balance both active and reactive power at each state as well as the constraints for the limit capacity of feeders. Connectable substation and the constraints in selecting the renewable sources are also represented and thus improving the accuracy of the calculated results of the distribution system. The uncertainty parameters of renewable sources (photovoltaic and wind turbine), electricity price and load were modeled by the probability density functions and are considered in the optimization model. The clustering technique was utilized to divide each parameter into states then all states of parameters are integrated by the combined model. The general algebraic modeling system (GAMS) was applied to solve the optimization problem with the test system and demonstrated the advantages of the proposed model.https://www.aimspress.com/article/10.3934/energy.2019.2.211/fulltext.htmldistribution systemgamslife cycle costoptimizationrenewable sourcesuncertainties |
| spellingShingle | V. V. Thang Thanhtung Ha Optimal siting and sizing of renewable sources in distribution system planning based on life cycle cost and considering uncertainties AIMS Energy distribution system gams life cycle cost optimization renewable sources uncertainties |
| title | Optimal siting and sizing of renewable sources in distribution system planning based on life cycle cost and considering uncertainties |
| title_full | Optimal siting and sizing of renewable sources in distribution system planning based on life cycle cost and considering uncertainties |
| title_fullStr | Optimal siting and sizing of renewable sources in distribution system planning based on life cycle cost and considering uncertainties |
| title_full_unstemmed | Optimal siting and sizing of renewable sources in distribution system planning based on life cycle cost and considering uncertainties |
| title_short | Optimal siting and sizing of renewable sources in distribution system planning based on life cycle cost and considering uncertainties |
| title_sort | optimal siting and sizing of renewable sources in distribution system planning based on life cycle cost and considering uncertainties |
| topic | distribution system gams life cycle cost optimization renewable sources uncertainties |
| url | https://www.aimspress.com/article/10.3934/energy.2019.2.211/fulltext.html |
| work_keys_str_mv | AT vvthang optimalsitingandsizingofrenewablesourcesindistributionsystemplanningbasedonlifecyclecostandconsideringuncertainties AT thanhtungha optimalsitingandsizingofrenewablesourcesindistributionsystemplanningbasedonlifecyclecostandconsideringuncertainties |