Co-optimization of distribution system operation and transmission system planning: A decentralized stochastic solution
The distribution system is normally equivalent as a dynamic power injected at the interconnected transmission bus. This cannot unlock the potential benefits of transmission–distribution interaction. To tackle this problem, this paper proposes a distributed stochastic optimization approach to simulta...
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Elsevier
2022
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oai:doaj.org-article:090fd959de6e4984b04fe1f99a09b2462021-12-04T04:34:53ZCo-optimization of distribution system operation and transmission system planning: A decentralized stochastic solution2352-484710.1016/j.egyr.2021.11.059https://doaj.org/article/090fd959de6e4984b04fe1f99a09b2462022-04-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S235248472101204Xhttps://doaj.org/toc/2352-4847The distribution system is normally equivalent as a dynamic power injected at the interconnected transmission bus. This cannot unlock the potential benefits of transmission–distribution interaction. To tackle this problem, this paper proposes a distributed stochastic optimization approach to simultaneously determine distribution system operation and transmission system planning. Uncertainties in the distribution and transmission systems are modelled using numbers of typical scenarios. The original problem is decomposed into the upper transmission network planning level and the lower distribution network operation one. Both two levels are linearized using a piecewise linearization approach to guarantee the convergence properties of the algorithm. Simulation results investigated on the integrated T24D9 system testify the high performance of the presented distributed framework. With the coordination of distribution systems, the transmission network planning solution decreases the investment and improves the renewable energy recommendation.Jia LiuZao TangPeter Pingliang ZengYalou LiQiuwei WuElsevierarticleTransmission network planningDistribution network operationDecentralized optimizationUncertaintiesPiecewise linearizationElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENEnergy Reports, Vol 8, Iss , Pp 501-509 (2022) |
| institution |
DOAJ |
| collection |
DOAJ |
| language |
EN |
| topic |
Transmission network planning Distribution network operation Decentralized optimization Uncertainties Piecewise linearization Electrical engineering. Electronics. Nuclear engineering TK1-9971 |
| spellingShingle |
Transmission network planning Distribution network operation Decentralized optimization Uncertainties Piecewise linearization Electrical engineering. Electronics. Nuclear engineering TK1-9971 Jia Liu Zao Tang Peter Pingliang Zeng Yalou Li Qiuwei Wu Co-optimization of distribution system operation and transmission system planning: A decentralized stochastic solution |
| description |
The distribution system is normally equivalent as a dynamic power injected at the interconnected transmission bus. This cannot unlock the potential benefits of transmission–distribution interaction. To tackle this problem, this paper proposes a distributed stochastic optimization approach to simultaneously determine distribution system operation and transmission system planning. Uncertainties in the distribution and transmission systems are modelled using numbers of typical scenarios. The original problem is decomposed into the upper transmission network planning level and the lower distribution network operation one. Both two levels are linearized using a piecewise linearization approach to guarantee the convergence properties of the algorithm. Simulation results investigated on the integrated T24D9 system testify the high performance of the presented distributed framework. With the coordination of distribution systems, the transmission network planning solution decreases the investment and improves the renewable energy recommendation. |
| format |
article |
| author |
Jia Liu Zao Tang Peter Pingliang Zeng Yalou Li Qiuwei Wu |
| author_facet |
Jia Liu Zao Tang Peter Pingliang Zeng Yalou Li Qiuwei Wu |
| author_sort |
Jia Liu |
| title |
Co-optimization of distribution system operation and transmission system planning: A decentralized stochastic solution |
| title_short |
Co-optimization of distribution system operation and transmission system planning: A decentralized stochastic solution |
| title_full |
Co-optimization of distribution system operation and transmission system planning: A decentralized stochastic solution |
| title_fullStr |
Co-optimization of distribution system operation and transmission system planning: A decentralized stochastic solution |
| title_full_unstemmed |
Co-optimization of distribution system operation and transmission system planning: A decentralized stochastic solution |
| title_sort |
co-optimization of distribution system operation and transmission system planning: a decentralized stochastic solution |
| publisher |
Elsevier |
| publishDate |
2022 |
| url |
https://doaj.org/article/090fd959de6e4984b04fe1f99a09b246 |
| work_keys_str_mv |
AT jialiu cooptimizationofdistributionsystemoperationandtransmissionsystemplanningadecentralizedstochasticsolution AT zaotang cooptimizationofdistributionsystemoperationandtransmissionsystemplanningadecentralizedstochasticsolution AT peterpingliangzeng cooptimizationofdistributionsystemoperationandtransmissionsystemplanningadecentralizedstochasticsolution AT yalouli cooptimizationofdistributionsystemoperationandtransmissionsystemplanningadecentralizedstochasticsolution AT qiuweiwu cooptimizationofdistributionsystemoperationandtransmissionsystemplanningadecentralizedstochasticsolution |
| _version_ |
1718372951204560896 |