Research on a Two-Layer Optimal Dispatching Method Considering the Mutual Aid of Peak Regulating Resources among Regional Power Grids
Since the power generation structures and load characteristics in each province in China are quite different, the distribution of peak regulating resources and demands are extremely imbalance. Restricted by a low power marketization degree, peak regulating resource shortages, and transmission channe...
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MDPI AG
2024-01-01
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Series: | Energies |
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Online Access: | https://www.mdpi.com/1996-1073/17/3/667 |
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author | Tianmeng Yang Suhua Lou Meng Zhang Yanchun Li Wei Feng Jicheng Liu |
author_facet | Tianmeng Yang Suhua Lou Meng Zhang Yanchun Li Wei Feng Jicheng Liu |
author_sort | Tianmeng Yang |
collection | DOAJ |
description | Since the power generation structures and load characteristics in each province in China are quite different, the distribution of peak regulating resources and demands are extremely imbalance. Restricted by a low power marketization degree, peak regulating resource shortages, and transmission channel blocks, the efficient utilization of new energy is facing greater pressures. In order to improve the mutual aid in regional power grids and to obtain more precise simulation results, this paper proposes a two-layer optimization dispatching model, considering the mutual aid of peak regulation resources between each province. It determines the optimal startup mode and the units’ power output in each province and obtains the power output arrangements for all the units and the technical and economic indicators. The model and the solution method are original and innovative. And it effectively solved the unequal distribution problem between the peak regulating demands and resources of each provincial power grid. Finally, taking an actual regional power grid in China as an example, the simulation results show that the proposed model can significantly improve the utilization rate of new energy, which verifies the effectiveness and feasibility of the proposed model and methods presented in this paper. |
first_indexed | 2024-03-08T03:57:52Z |
format | Article |
id | doaj.art-93fbcacbf8674505921826ee3b04a405 |
institution | Directory Open Access Journal |
issn | 1996-1073 |
language | English |
last_indexed | 2024-03-08T03:57:52Z |
publishDate | 2024-01-01 |
publisher | MDPI AG |
record_format | Article |
series | Energies |
spelling | doaj.art-93fbcacbf8674505921826ee3b04a4052024-02-09T15:11:30ZengMDPI AGEnergies1996-10732024-01-0117366710.3390/en17030667Research on a Two-Layer Optimal Dispatching Method Considering the Mutual Aid of Peak Regulating Resources among Regional Power GridsTianmeng Yang0Suhua Lou1Meng Zhang2Yanchun Li3Wei Feng4Jicheng Liu5Northeast Branch of State Grid Corporation of China, Shenyang 110180, ChinaState Key Laboratory of Advanced Electromagnetic Engineering and Technology, Wuhan 430074, ChinaChina Energy Engineering Group Liaoning Electric Power Design Institute Co., Ltd., Shenyang 110180, ChinaNortheast Branch of State Grid Corporation of China, Shenyang 110180, ChinaNortheast Branch of State Grid Corporation of China, Shenyang 110180, ChinaNortheast Branch of State Grid Corporation of China, Shenyang 110180, ChinaSince the power generation structures and load characteristics in each province in China are quite different, the distribution of peak regulating resources and demands are extremely imbalance. Restricted by a low power marketization degree, peak regulating resource shortages, and transmission channel blocks, the efficient utilization of new energy is facing greater pressures. In order to improve the mutual aid in regional power grids and to obtain more precise simulation results, this paper proposes a two-layer optimization dispatching model, considering the mutual aid of peak regulation resources between each province. It determines the optimal startup mode and the units’ power output in each province and obtains the power output arrangements for all the units and the technical and economic indicators. The model and the solution method are original and innovative. And it effectively solved the unequal distribution problem between the peak regulating demands and resources of each provincial power grid. Finally, taking an actual regional power grid in China as an example, the simulation results show that the proposed model can significantly improve the utilization rate of new energy, which verifies the effectiveness and feasibility of the proposed model and methods presented in this paper.https://www.mdpi.com/1996-1073/17/3/667regional power gridsoptimal dispatchingpeak regulation resource mutual assistancepeak regulation capabilitytwo-layer optimization |
spellingShingle | Tianmeng Yang Suhua Lou Meng Zhang Yanchun Li Wei Feng Jicheng Liu Research on a Two-Layer Optimal Dispatching Method Considering the Mutual Aid of Peak Regulating Resources among Regional Power Grids Energies regional power grids optimal dispatching peak regulation resource mutual assistance peak regulation capability two-layer optimization |
title | Research on a Two-Layer Optimal Dispatching Method Considering the Mutual Aid of Peak Regulating Resources among Regional Power Grids |
title_full | Research on a Two-Layer Optimal Dispatching Method Considering the Mutual Aid of Peak Regulating Resources among Regional Power Grids |
title_fullStr | Research on a Two-Layer Optimal Dispatching Method Considering the Mutual Aid of Peak Regulating Resources among Regional Power Grids |
title_full_unstemmed | Research on a Two-Layer Optimal Dispatching Method Considering the Mutual Aid of Peak Regulating Resources among Regional Power Grids |
title_short | Research on a Two-Layer Optimal Dispatching Method Considering the Mutual Aid of Peak Regulating Resources among Regional Power Grids |
title_sort | research on a two layer optimal dispatching method considering the mutual aid of peak regulating resources among regional power grids |
topic | regional power grids optimal dispatching peak regulation resource mutual assistance peak regulation capability two-layer optimization |
url | https://www.mdpi.com/1996-1073/17/3/667 |
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