Multistage reliability-constrained stochastic planning of diamond distribution network: An approximate dynamic programming approach
In this paper, a multistage reliability-constrained stochastic planning model is established for the diamond distribution network, a new type of distribution system grid structure, with the goal of optimizing the total cost of investment and operation. The uncertainty of load growth is simulated by...
Saved in:
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2024-02-01
|
| Series: | International Journal of Electrical Power & Energy Systems |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S0142061523007585 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1846157830926630912 |
|---|---|
| author | Zhi Wu Ao Li Qirun Sun Shu Zheng Jingtao Zhao Pengxiang Liu Wei Gu |
| author_facet | Zhi Wu Ao Li Qirun Sun Shu Zheng Jingtao Zhao Pengxiang Liu Wei Gu |
| author_sort | Zhi Wu |
| collection | DOAJ |
| description | In this paper, a multistage reliability-constrained stochastic planning model is established for the diamond distribution network, a new type of distribution system grid structure, with the goal of optimizing the total cost of investment and operation. The uncertainty of load growth is simulated by generating multiple load growth scenarios, and the power supply loss caused by the reliability of components in the system is also considered. The multistage stochastic dynamic decision process is modeled by The Markov decision process. In order to solve the “curse of dimensionality” problem in multi-stage stochastic planning model, the approximate dynamic programming algorithm is used to solve it. The case study is based on the typical structure of the diamond distribution network and realistic data of an actual district in Shanghai, China. The planning results verify the effectiveness of the model and the solution algorithm, and demonstrate the reliability and economy of the diamond distribution network are superior to the traditional double-ring network. |
| format | Article |
| id | doaj-art-9d021badc7e546b48d1cba4947ecc1b7 |
| institution | Kabale University |
| issn | 0142-0615 |
| language | English |
| publishDate | 2024-02-01 |
| publisher | Elsevier |
| record_format | Article |
| series | International Journal of Electrical Power & Energy Systems |
| spelling | doaj-art-9d021badc7e546b48d1cba4947ecc1b72024-11-25T04:40:32ZengElsevierInternational Journal of Electrical Power & Energy Systems0142-06152024-02-01156109701Multistage reliability-constrained stochastic planning of diamond distribution network: An approximate dynamic programming approachZhi Wu0Ao Li1Qirun Sun2Shu Zheng3Jingtao Zhao4Pengxiang Liu5Wei Gu6School of Electrical Engineering, Southeast University, Nanjing, China; Corresponding author.School of Electrical Engineering, Southeast University, Nanjing, ChinaSchool of Electrical Engineering, Southeast University, Nanjing, ChinaSchool of Electrical Engineering, Southeast University, Nanjing, China; State Grid Electric Power Research Institute, Nanjing, ChinaState Grid Electric Power Research Institute, Nanjing, ChinaSchool of Electrical Engineering, Southeast University, Nanjing, ChinaSchool of Electrical Engineering, Southeast University, Nanjing, ChinaIn this paper, a multistage reliability-constrained stochastic planning model is established for the diamond distribution network, a new type of distribution system grid structure, with the goal of optimizing the total cost of investment and operation. The uncertainty of load growth is simulated by generating multiple load growth scenarios, and the power supply loss caused by the reliability of components in the system is also considered. The multistage stochastic dynamic decision process is modeled by The Markov decision process. In order to solve the “curse of dimensionality” problem in multi-stage stochastic planning model, the approximate dynamic programming algorithm is used to solve it. The case study is based on the typical structure of the diamond distribution network and realistic data of an actual district in Shanghai, China. The planning results verify the effectiveness of the model and the solution algorithm, and demonstrate the reliability and economy of the diamond distribution network are superior to the traditional double-ring network.http://www.sciencedirect.com/science/article/pii/S0142061523007585Diamond distribution networkDistribution system expansion planningApproximate dynamic programmingReliability |
| spellingShingle | Zhi Wu Ao Li Qirun Sun Shu Zheng Jingtao Zhao Pengxiang Liu Wei Gu Multistage reliability-constrained stochastic planning of diamond distribution network: An approximate dynamic programming approach International Journal of Electrical Power & Energy Systems Diamond distribution network Distribution system expansion planning Approximate dynamic programming Reliability |
| title | Multistage reliability-constrained stochastic planning of diamond distribution network: An approximate dynamic programming approach |
| title_full | Multistage reliability-constrained stochastic planning of diamond distribution network: An approximate dynamic programming approach |
| title_fullStr | Multistage reliability-constrained stochastic planning of diamond distribution network: An approximate dynamic programming approach |
| title_full_unstemmed | Multistage reliability-constrained stochastic planning of diamond distribution network: An approximate dynamic programming approach |
| title_short | Multistage reliability-constrained stochastic planning of diamond distribution network: An approximate dynamic programming approach |
| title_sort | multistage reliability constrained stochastic planning of diamond distribution network an approximate dynamic programming approach |
| topic | Diamond distribution network Distribution system expansion planning Approximate dynamic programming Reliability |
| url | http://www.sciencedirect.com/science/article/pii/S0142061523007585 |
| work_keys_str_mv | AT zhiwu multistagereliabilityconstrainedstochasticplanningofdiamonddistributionnetworkanapproximatedynamicprogrammingapproach AT aoli multistagereliabilityconstrainedstochasticplanningofdiamonddistributionnetworkanapproximatedynamicprogrammingapproach AT qirunsun multistagereliabilityconstrainedstochasticplanningofdiamonddistributionnetworkanapproximatedynamicprogrammingapproach AT shuzheng multistagereliabilityconstrainedstochasticplanningofdiamonddistributionnetworkanapproximatedynamicprogrammingapproach AT jingtaozhao multistagereliabilityconstrainedstochasticplanningofdiamonddistributionnetworkanapproximatedynamicprogrammingapproach AT pengxiangliu multistagereliabilityconstrainedstochasticplanningofdiamonddistributionnetworkanapproximatedynamicprogrammingapproach AT weigu multistagereliabilityconstrainedstochasticplanningofdiamonddistributionnetworkanapproximatedynamicprogrammingapproach |