刘学, 刘硕, 于松泰, 孙田, 郭鸿业. 面向新型电力系统灵活性提升的调峰容量补偿机制设计[J]. 电网技术, 2023, 47(1): 155-162. DOI: 10.13335/j.1000-3673.pst.2022.0790
引用本文: 刘学, 刘硕, 于松泰, 孙田, 郭鸿业. 面向新型电力系统灵活性提升的调峰容量补偿机制设计[J]. 电网技术, 2023, 47(1): 155-162. DOI: 10.13335/j.1000-3673.pst.2022.0790
LIU Xue, LIU Shuo, YU Songtai, SUN Tian, GUO Hongye. Peak Load Regulation Capacity Compensation Mechanism for New Power System Flexibility Enhancement[J]. Power System Technology, 2023, 47(1): 155-162. DOI: 10.13335/j.1000-3673.pst.2022.0790
Citation: LIU Xue, LIU Shuo, YU Songtai, SUN Tian, GUO Hongye. Peak Load Regulation Capacity Compensation Mechanism for New Power System Flexibility Enhancement[J]. Power System Technology, 2023, 47(1): 155-162. DOI: 10.13335/j.1000-3673.pst.2022.0790

面向新型电力系统灵活性提升的调峰容量补偿机制设计

Peak Load Regulation Capacity Compensation Mechanism for New Power System Flexibility Enhancement

  • 摘要: 随着新型电力系统建设加速以及电力市场改革不断深化,可再生能源将快速成为中国主要的能源供应主体并广泛参与到电力市场之中,其波动性和不确定性将对电力系统灵活性带来极大挑战。针对目前电力系统面临调峰资源不足的困局,单一电能量市场无法回收灵活性成本的实际情况,提出了激励火电灵活性改造的调峰容量补偿机制,从中长期至现货全时间尺度上解决系统灵活性资源不足的问题。首先,精确计算系统调峰缺口,并构建火电深度调峰的成本模型。其次,将火电灵活性改造成本分解为固定成本与变动成本,固定成本向发生弃电的可再生能源分摊,变动成本参与现货市场竞争回收。这一方面保障了必要的灵活性成本合理回收,避免了过度支付或回收不足的风险,另一方面将调峰市场纳入电能量市场之中,降低了现货市场出清模型的求解难度,理顺了价格信号。最后,进行多市场机制耦合运行模拟,基于改进的IEEE30节点系统验证了所提机制和模型的有效性。

     

    Abstract: With the acceleration of new power system construction and the deepening of power market reform, renewable energy will quickly become the main energy supplier in China and widely participate in the power market, whose volatility and uncertainty may bring about great challenges to the flexibility of the power system. Faced with the obstacle of insufficient peak load regulation resources and the difficulties that the flexibility cost cannot be recovered in the single electricity energy market, this paper proposes a peak load regulation capacity compensation mechanism to stimulate the flexibility transformation of the thermal power, so as to solve the problem of insufficient system flexibility resources in the whole time scale from the medium and long term to the spot. Firstly, the peak load regulation gap of the system is calculated accurately, and the cost model of thermal power deep peak load regulation is constructed. Secondly, the flexible transformation cost of thermal power is divided into the fixed cost and the variable cost. The fixed cost is allocated to the renewable energy with power curtailment, while the variable cost is recovered in the spot market. On the one hand, the reasonable recovery of the necessary flexible cost is guaranteed, and the risks of excessive payment or insufficient recovery are avoided. On the other hand, the deep peak shaving regulation market is included in the electric energy market, which reduces the difficulty of solving the spot market clearing model and clarifying the price signals. Finally, a multi-market mechanism coupling simulation is carried out to verify the effectiveness of the proposed mechanism and model based on an improved IEEE 30-node system.

     

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