基于改进WCVaR的电力系统低碳经济调度
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作者单位:

(1. 国网福建省电力有限公司经济技术研究院,福建 福州 350003;2.国网福建电力有限公司,福建 福州 350003;3.国网福建省电力有限公司电力科学研究院,福建 福州 350003;)

作者简介:

通讯作者:

沈 豫(1985—),女,博士,高级工程师,主要从事电网规划、能源经济等方面的研究;E?mail:shenyu_edu@qq.com

中图分类号:

TM73

基金项目:

国网福建省电力有限公司研究专项(B3130023000D)


Low‑carbon economic dispatching of power systems based on fuzzy WCVaR
Author:
Affiliation:

(1.Economic and Technological Research Institute, State Grid Fujian Electric Power Co.,Ltd., Fuzhou 350003, China; 2.State Grid Fujian Electric Power Co.,Ltd., Fuzhou 350003, China; 3.Electric Power Research Institute, State Grid Fujian Electric Power Co.,Ltd., Fuzhou 350003, China)

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    摘要:

    高比例新能源并网的新型电力系统是实现“双碳”目标的枢纽平台,但新能源出力的不确定性势必会给电力系统带来调峰困难、灵活性不足等诸多问题。为有效平衡系统的经济性与安全性,首先,引入改进最差条件风险价值(worst case conditional value at risk, WCVaR)来评估新能源出力不确定性给电力系统带来的风险;其次,引入价格型需求响应并对火电机组进行低碳灵活性改造,提高新能源消纳水平,同时缓解火电机组深度调峰带来的过度碳排放问题;再次,建立以系统总运行成本与运行风险值综合最优为目标函数的电力系统低碳经济优化调度模型;最后,基于实际算例验证了该模型的有效性。

    Abstract:

    The new power system with a high proportion of renewable energy grid integration serves as a pivotal platform for achieving the "dual carbon" goals. However, the uncertainty in renewable energy output inevitably poses challenges such as difficulty in peak load regulation and insufficient flexibility to the power system. To effectively balance the economy and security of the system, several measures are taken. Firstly, the improved worst case conditional value at risk (WCVaR) is introduced to assess the risks posed by the uncertainty of renewable energy output to the power system. Secondly, price-based demand response and low-carbon flexibility retrofits for thermal power units are introduced to enhance the level of renewable energy absorption while mitigating excessive carbon emissions caused by deep peak load regulation of thermal power units. Thirdly, a low-carbon economic optimization scheduling model for the power system is established, with the objective function of minimizing the total system operation cost and operation risk value. Finally, the effectiveness of the model is verified through practical examples.

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沈 豫,韩钟宽,曾振松,等.基于改进WCVaR的电力系统低碳经济调度[J].电力科学与技术学报,2024,39(5):102-111,128.
SHEN Yu, HAN Zhongkuan, ZENG Zhensong, et al. Low‑carbon economic dispatching of power systems based on fuzzy WCVaR[J]. Journal of Electric Power Science and Technology,2024,39(5):102-111,128.

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  • 在线发布日期: 2024-12-02
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