With the gradual increase of the penetration rate of wind and photovoltaic (PV) electricity, the power system is facing great challenges in integration and peak-shaving capacity. As flexibility resources of the system is limited, wind and PV power generation will not be consumed completely. Allowing the curtailment of the peak output of wind turbine and PV can reduce the cost of auxiliary services such as peak-shaving, relieve the huge pressure in the operation and planning of the system, and improve the overall power supply economy of the system. Firstly, the reason and optimization principle of the curtailment of the peak output of wind turbine and PV are explained. Then, a capacity optimal configuration method of power supply based on day-ahead economic dispatch is proposed. On the premise of allowing the curtailment of the peak output of wind turbine and PV, the corresponding annual power supply cost of wind turbine and PV capacity combination is calculated based on day-ahead unit commitment. The function fitting between power supply cost and wind turbine capacity is carried out. The best wind turbine and PV capacity combination is the value of the extreme point. Finally, the sensitivity analysis of example system is carried out. It is found that with the decrease of unit investment cost of wind turbine and PV equipment, developing wind and PV power generation will be a more economical choice in the future.
| Published in | Science Discovery (Volume 9, Issue 3) |
| DOI | 10.11648/j.sd.20210903.11 |
| Page(s) | 91-96 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2021. Published by Science Publishing Group |
Economic Dispatch, High-penetration Power System, Economic Consumption of Electricity, Curtailment Ratio of Electricity, Unit Electricity Supply Cost, Capacity Configuration Planning
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APA Style
Bing Sun, Yunfei Li, Yuan Zeng. (2021). Optimal Configuration of Wind Turbine and Photovoltaic Based on Day-ahead Economic Dispatch. Science Discovery, 9(3), 91-96. https://doi.org/10.11648/j.sd.20210903.11
ACS Style
Bing Sun; Yunfei Li; Yuan Zeng. Optimal Configuration of Wind Turbine and Photovoltaic Based on Day-ahead Economic Dispatch. Sci. Discov. 2021, 9(3), 91-96. doi: 10.11648/j.sd.20210903.11
AMA Style
Bing Sun, Yunfei Li, Yuan Zeng. Optimal Configuration of Wind Turbine and Photovoltaic Based on Day-ahead Economic Dispatch. Sci Discov. 2021;9(3):91-96. doi: 10.11648/j.sd.20210903.11
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Download@article{10.11648/j.sd.20210903.11,
author = {Bing Sun and Yunfei Li and Yuan Zeng},
title = {Optimal Configuration of Wind Turbine and Photovoltaic Based on Day-ahead Economic Dispatch},
journal = {Science Discovery},
volume = {9},
number = {3},
pages = {91-96},
doi = {10.11648/j.sd.20210903.11},
url = {https://doi.org/10.11648/j.sd.20210903.11},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.sd.20210903.11},
abstract = {With the gradual increase of the penetration rate of wind and photovoltaic (PV) electricity, the power system is facing great challenges in integration and peak-shaving capacity. As flexibility resources of the system is limited, wind and PV power generation will not be consumed completely. Allowing the curtailment of the peak output of wind turbine and PV can reduce the cost of auxiliary services such as peak-shaving, relieve the huge pressure in the operation and planning of the system, and improve the overall power supply economy of the system. Firstly, the reason and optimization principle of the curtailment of the peak output of wind turbine and PV are explained. Then, a capacity optimal configuration method of power supply based on day-ahead economic dispatch is proposed. On the premise of allowing the curtailment of the peak output of wind turbine and PV, the corresponding annual power supply cost of wind turbine and PV capacity combination is calculated based on day-ahead unit commitment. The function fitting between power supply cost and wind turbine capacity is carried out. The best wind turbine and PV capacity combination is the value of the extreme point. Finally, the sensitivity analysis of example system is carried out. It is found that with the decrease of unit investment cost of wind turbine and PV equipment, developing wind and PV power generation will be a more economical choice in the future.},
year = {2021}
}
TY - JOUR T1 - Optimal Configuration of Wind Turbine and Photovoltaic Based on Day-ahead Economic Dispatch AU - Bing Sun AU - Yunfei Li AU - Yuan Zeng Y1 - 2021/05/08 PY - 2021 N1 - https://doi.org/10.11648/j.sd.20210903.11 DO - 10.11648/j.sd.20210903.11 T2 - Science Discovery JF - Science Discovery JO - Science Discovery SP - 91 EP - 96 PB - Science Publishing Group SN - 2331-0650 UR - https://doi.org/10.11648/j.sd.20210903.11 AB - With the gradual increase of the penetration rate of wind and photovoltaic (PV) electricity, the power system is facing great challenges in integration and peak-shaving capacity. As flexibility resources of the system is limited, wind and PV power generation will not be consumed completely. Allowing the curtailment of the peak output of wind turbine and PV can reduce the cost of auxiliary services such as peak-shaving, relieve the huge pressure in the operation and planning of the system, and improve the overall power supply economy of the system. Firstly, the reason and optimization principle of the curtailment of the peak output of wind turbine and PV are explained. Then, a capacity optimal configuration method of power supply based on day-ahead economic dispatch is proposed. On the premise of allowing the curtailment of the peak output of wind turbine and PV, the corresponding annual power supply cost of wind turbine and PV capacity combination is calculated based on day-ahead unit commitment. The function fitting between power supply cost and wind turbine capacity is carried out. The best wind turbine and PV capacity combination is the value of the extreme point. Finally, the sensitivity analysis of example system is carried out. It is found that with the decrease of unit investment cost of wind turbine and PV equipment, developing wind and PV power generation will be a more economical choice in the future. VL - 9 IS - 3 ER -
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