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考虑频率稳定与机会约束的水风光储规划方法

Planning method of hydro-wind-solar-storage hybrid system considering frequency stability and chance constraints

  • 摘要: 针对当前风光等新能源渗透率提升、系统惯量严重降低、频率稳定性欠佳、总体调节性能不足、源荷空间不匹配等问题,提出了一种考虑频率安全与机会约束的水风光蓄储协调规划方法。首先,对水电站、混合式抽蓄电站、风光电站、储能电站及直流外送约束进行详细建模,模型以系统净收益最大为目标,计及系统售电收益以及风光蓄储电站的投建成本。其次,建立了考虑直流功率紧急调整支撑频率稳定的频率安全约束模型。然后,考虑风光电站不确定性,建立了基于机会约束的不确定性模型,并利用样本平均近似的强拓展公式进行约束转化以方便求解。算例结果表明,所提模型有效实现了水风光蓄储协调规划配置,所采用的机会约束方法与频率安全约束,有助于从理论层面规划电站装机容量,以应对风光出力不确定性与系统频率安全问题。

     

    Abstract: To address the current challenges including increasing penetration of wind-solar renewable energy sources, drastic reduction of system inertia, poor frequency stability, insufficient overall regulation capability, and source-load spatial mismatch, this paper proposes a coordinated planning method for hydro-wind-solar-pumped storage systems with consideration of frequency security and chance constraints. Firstly, detailed modeling is conducted on hydropower stations, hybrid pumped storage stations, wind power stations, solar power stations, battery storage stations, and DC transmission constraints. Maximization of system net profit is set as the optimization objective, which takes into account electricity sales revenue as well as the construction and investment costs of wind, solar and pumped storage facilities. Secondly, a frequency security constraint model is established, which considers the emergency adjustment of DC power to support frequency stability. Thirdly, to handle the stochastic nature of wind and photovoltaic output, an uncertainty model based on chance constraints is developed, and the robust expansion formulation of sample average approximation is adopted to transform chance constraints for tractable computation. Case study results show that the proposed model effectively achieves a coordinated planning and configuration of hydro-wind-solar-pumped storage. Combined application of chance constraints and frequency security constraints facilitates rational installed-capacity planning from a theoretical perspective to cope with renewable output volatility and system frequency security risks.

     

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