苗秋愿,邢海军
MIAO Qiuyuan,XING Haijun

• 1:上海电力大学电气工程学院

摘要(Abstract)：

高比例可再生能源并网带来的波动性和不确定性，对新型电力系统安全经济运行带来了重大挑战。针对这一问题，提出了一种计及风光荷储热协同的灵活性资源优化调度方法，可在提高多维度灵活性资源调节能力的同时降低经济成本。首先，引入灵活性量化指标，构建风光荷储热的灵活性资源供需特性模型；接着，利用SOT（序列运算理论）获得风光联合出力概率；然后，以总运行成本最小为优化目标，基于灵活性供需特性模型及概率序列构建函数，采用CCP（机会约束规划）将优化调度模型转化为MILP（混合整数线性规划）进行求解。最后，通过对内蒙古某地区电网的实际数据进行案例分析，验证了所提调度方法的有效性。
The integration of high-penetration renewable energy introduces significant volatility and uncertainty, posing critical challenges to the secure and economic operation of modern power systems. To address this issue, this paper proposes an optimal scheduling method for wind-PV-load-storage-heat(WPLSH) flexibility resources. This method enhances multi-dimensional regulation capability while reducing operational costs. Firstly, flexibility quantification indices are introduced to model the supply-demand characteristics of WPLSH flexibility resources. Subsequently, sequence operation theory(SOT) is employed to derive the joint probability of wind-PV power output. Then, taking the minimization of total operational costs as the optimization objective, a mathematical function is constructed based on the flexibility supply-demand characteristic model and probability sequences. Using chance constrained programming(CCP), the optimal scheduling model is transformed into a mixed-integer linear programming(MILP) problem for solution. Finally, case studies using real-world grid data from Inner Mongolia demonstrate the method's effectiveness.

关键词(KeyWords)： 风光荷储热;灵活性量化;不确定性;优化调度
WPLSH;flexibility quantification;uncertainty;optimal scheduling

Abstract:

Keywords:

基金项目(Foundation): 国家自然科学基金(52477106)

作者(Author): 苗秋愿,邢海军
MIAO Qiuyuan,XING Haijun

DOI: 10.19585/j.zjdl.202508006

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