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考虑灵活爬坡产品的虚拟电厂两阶段分布鲁棒优化运营策略
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作者单位:

1.浙江大学电气工程学院,浙江省杭州市 310027;2.浙江电力交易中心有限公司,浙江省杭州市 310009

摘要:

随着“碳达峰·碳中和”目标的提出,可再生能源大规模并网对电力系统灵活运行提出了更高要求。虚拟电厂(VPP)通过聚合分布式资源,将灵活爬坡产品(FRP)纳入运营策略,参与多类型电力市场以提升运营收益。基于此,提出了考虑FRP的VPP两阶段分布鲁棒优化(DRO)运营策略。首先,考虑高比例可再生能源渗透率下的FRP市场,结合多类型分布式资源运行特性,提出VPP参与多类型电力市场的优化运营框架;其次,结合基于Wasserstein距离的可再生能源出力不确定集和基于场景分析法的电力市场价格典型场景集,构建考虑FRP的VPP日前投标和日内调度两阶段DRO模型;最后,以某VPP为例对所提模型进行有效性验证。算例结果表明,所提VPP运营策略具有较好的调度经济性与风险鲁棒性,在参与多类型电力市场交易中能够实现运营收益最大化。

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基金项目:

国家重点研发计划资助项目(2022YFB2403100);国网浙江省电力有限公司科技资助项目(B311DJ220003)。

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Two-stage Distributionally Robust Optimization Operation Strategy of Virtual Power Plants Considering Flexible Ramping Products
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Abstract:

With the introduction of the goal of “carbon peak and carbon neutralization”, large-scale integration of renewable energy into the power system has placed higher demands for its flexibile operation. The virtual power plant (VPP) enhances its operation revenue by aggregating distributed resources, incorporating flexible ramping products (FRPs) into its operation strategy and participating in multiple electricity markets. Based on this, a two-stage distributionally robust optimimization (DRO) operation strategy of VPP considering FRP is proposed. Firstly, considering the FRP market under high proportion of renewable energy penetration rate and combining the operation characteristics of multiple distributed resources, an optimized operation framework for VPP participatie in multiple electricity markets is proposed. Secondly, integrating the uncertainty set of renewable energy output based on the Wasserstein distance and the typical scenario set of electricity market prices based on scenario analysis, a two-stage DRO model for VPP day-ahead bidding and intra-day dispatch iconsidering FRP is constructed. Finally, the proposed model is validated with an example of a VPP. The results of the case study demonstrate that the proposed VPP operation strategy has good dispatching economic efficiency and risk robustness, and can maximize operation revenue in multiple electricity market transactions.

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Foundation:
This work is supported by National Key Research and Development Program of China (No. 2022YFB2403100) and Science and Technology Program of State Grid Zhejiang Electric Power Company Limited (No. B311DJ220003).
引用本文
[1]俞鸿飞,王韵楚,吕瑞扬,等.考虑灵活爬坡产品的虚拟电厂两阶段分布鲁棒优化运营策略[J/OL].电力系统自动化,http://doi. org/10.7500/AEPS20230909001.
YU Hongfei, WANG Yunchu, LV Ruiyang, et al. Two-stage Distributionally Robust Optimization Operation Strategy of Virtual Power Plants Considering Flexible Ramping Products[J/OL]. Automation of Electric Power Systems, http://doi. org/10.7500/AEPS20230909001.
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  • 收稿日期:2023-09-09
  • 最后修改日期:2024-05-13
  • 录用日期:2023-12-26
  • 在线发布日期: 2024-06-04
  • 出版日期: