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基于全纯嵌入的电力系统不确定性仿射潮流方法

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仿射潮流算法是求解新型电力系统状态量分布特征的重要手段。针对现有仿射潮流算法保守度较高、算法效率较低且需要选择合适的迭代初始值等不足之处,该文提出一种基于全纯嵌入的不确定性仿射潮流计算方法。首先,构建电力系统节点电压和功率仿射模型,并建立系统仿射潮流方程。在此基础上,将嵌入因子引入到仿射潮流方程中,构造具有泰勒级数形式的全纯嵌入仿射潮流模型;接着,将仿射潮流求解问题转换为泰勒幂级数系数的求解问题,获取状态量初始解及递推关系,计算不确定性潮流的仿射解。最后,算例验证所提算法具有保守性低、计算效率高和量化分析分布式电源出力对电压影响等优势。
Affine Power Flow Algorithm for Power System Based on Holomorphic Embedding Method
The affine arithmetic is an important tool for solving the uncertain power flow problem.The traditional affine power flow method has the disadvantages of over-conservative,low efficiency and high requirement of the iterative initial values.To deal with these issues,an affine power flow algorithm for the power system based on holomorphic embedding method is proposed in this paper.First,the nodal voltage and power affine models of the power system are developed,and the affine power flow equations are established.On this basis,the embedding factor is introduced into the affine power flow equations and a holomorphic embedded affine model with Taylor series form is developed.What's more,the affine power flow solution problem is converted into a solution problem with Taylor power series coefficients.Thus,the germ solution and the recurrence relations of the status variables are obtained,and the affine values of the uncertain power flow are computed.Finally,several numerical results are presented and discussed,demonstrating that the proposed algorithm has the advantages of low conservativeness,high computational efficiency and the ability to analyze the impact of distributed generation on voltage quantificational.

uncertaintyinterval power flowaffine power flowholomorphic embedding

邵振国、李壹民、颜熙颖、何松涛、陈飞雄

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福建省电器智能化工程技术研究中心(福州大学电气工程与自动化学院),福建省 福州市 350108

不确定性 区间潮流 仿射潮流 全纯嵌入

国家自然科学基金项目国家自然科学基金项目福建省自然科学基金项目福建省自然科学基金重点项目

52107080517770352021J051352020J02028

2024

中国电机工程学报
中国电机工程学会

中国电机工程学报

CSTPCD北大核心
影响因子:2.712
ISSN:0258-8013
年,卷(期):2024.44(1)
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