| 引用本文: | 包铭磊,田富豪,冯天夏,等.考虑虚拟电厂可信调节能力的电网随机调度研究[J].电力系统保护与控制,2026,54(05):1-12. |
| BAO Minglei,TIAN Fuhao,FENG Tianxia,et al.Research on stochastic power grid dispatch considering the credible regulation capability of virtual power plants[J].Power System Protection and Control,2026,54(05):1-12 |
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| 摘要: |
| 虚拟电厂(virtual power plant, VPP)可通过参与电网调度，为新能源消纳、电网安全运行提供容量可观的调节能力。然而，受VPP内部多重不确定性因素的影响，VPP可提供的调节能力具有较强的不确定性，可能导致VPP被调用时无法为电网提供足够的调节能力。为此，提出了考虑VPP可信调节能力的电网随机调度方法。首先，给出了VPP可信调节能力的定义、量化指标及评估流程。其次，考虑VPP提供调节能力的不确定性和风电出力的随机性，构建了电力系统备用需求的机会约束，建立了内嵌机会约束的电力系统随机调度模型。此外，为降低模型的求解复杂度，提出了适应系统备用需求机会约束的确定性转化方法。最后，算例表明所提方法可有效降低系统的运行风险，提高了系统应对可再生能源出力不确定性的能力，促进了电力系统的安全运行。 |
| 关键词: 虚拟电厂 可信调节能力 不确定性 随机调度 机会约束 |
| DOI：10.19783/j.cnki.pspc.250336 |
| 分类号: |
| 基金项目:国家自然科学基金项目资助(52407149) |
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| Research on stochastic power grid dispatch considering the credible regulation capability of virtual power plants |
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BAO Minglei1, TIAN Fuhao2, FENG Tianxia2, YANG Yang3, QI Lujie3, LIU Shengfu3
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1. College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China; 2. Polytechnic Institute,
Zhejiang University, Hangzhou 310015, China; 3. Economic and Technical Research Institute of
State Grid Shandong Electric Power Co., Ltd., Jinan 250021, China
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| Abstract: |
| Virtual power plants (VPPs) can participate in power system dispatch and provide considerable regulation capability, thereby supporting renewable energy integration and secure grid operation. However, due to multiple sources of uncertainty within VPPs, their available regulation capability is highly uncertain, which may result in insufficient support when a VPP is called upon by the grid. To address this issue, a stochastic power system dispatch method considering credible regulation capability of VPPs is proposed. First, the definition, quantitative indicator, and evaluation process of VPP credible regulation capability are presented. Then, considering the uncertainty of regulation capability that VPPs provide and the stochastic nature of wind power output, chance constraints on power system reserve requirements are constructed, and a power system stochastic dispatch model with embedded chance constraints is established. Furthermore, to reduce the computational complexity of the model, a deterministic transformation method suitable for the system reserve chance constraints is proposed. Finally, case studies show that the proposed method effectively reduces system operational risk, improves the system’s ability to cope with renewable generation uncertainty, and promotes secure power system operation. |
| Key words: virtual power plant (VPP) credible regulation capability uncertainty stochastic dispatch chance constraint |
