引用本文:程杉,左先旺,杨堃,傅桐,王灿.基于改进仿射算法的主动配电网区间调度[J].电力自动化设备,2024,44(1):40-48.
CHENG Shan,ZUO Xianwang,YANG Kun,FU Tong,WANG Can.Interval scheduling of active distribution network based on improved affine arithmetic[J].Electric Power Automation Equipment,2024,44(1):40-48.
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基于改进仿射算法的主动配电网区间调度
程杉1, 左先旺1, 杨堃2, 傅桐1, 王灿1
1.三峡大学 电力系统智能运行与安全防御宜昌市重点实验室,湖北 宜昌 443002;2.国网新源浙江宁海抽水蓄能电站有限公司,浙江 宁波 315600
摘要:
针对高渗透率分布式可再生能源的不确定性和仿射算法结果的保守性影响调度计划的问题,提出基于改进仿射算法的主动配电网区间优化调度模型及其求解方法。以区间变量表征分布式可再生能源中风机和光伏出力的不确定性,利用带有误差修正机制的灰色马尔可夫模型得到风机和光伏出力的区间预测值。建立综合考虑主动配电网运行约束和灵活性指标,以综合运行费用最低和净负荷波动最小为目标的主动配电网多目标区间优化调度数学模型。在仿射算法的非线性运算中引入区间泰勒公式,提出一种改进仿射算法并将其应用于主动配电网潮流计算,并通过CPLEX和INTLAB对调度模型进行联合求解。修改的IEEE 33节点系统的仿真结果表明,区间优化调度可为调度人员提供更直观的主动配电网状态量上、下界信息,而且所提方法的计算效率更高,所得区间结果的保守性、可靠性和有效性更优。
关键词:  不确定性  改进仿射算法  保守性  区间优化调度  潮流计算
DOI:10.16081/j.epae.202302019
分类号:TM73
基金项目:
Interval scheduling of active distribution network based on improved affine arithmetic
CHENG Shan1, ZUO Xianwang1, YANG Kun2, FU Tong1, WANG Can1
1.Yichang Key Laboratory of Intelligent Operation and Security Defense of Power System, China Three Gorges University, Yichang 443002, China;2.State Grid Xinyuan Zhejiang Ninghai Pumped Storage Power Co.,Ltd.,Ningbo 315600, China
Abstract:
Aiming at the problem that the uncertainty of distributed renewable energy source with high permeability and the conservativeness of affine arithmetic(AA) results affect the scheduling plan, an interval optimal scheduling model of active distribution network(ADN) based on an improved affine arithmetic(IAA) and its solution method are proposed. The uncertainty of wind turbine and photovoltaic output in distributed renewable energy source is characterized by the interval variables, the gray Markov model with error correction mechanism is used to obtain the interval predicted values of wind turbine and photovoltaic output. A multi-objective interval optimal scheduling mathematical model for ADN is established, which comprehensively considers the operation constraints and flexibility indexes of AND, and takes the minimum comprehensive operation cost and minimum fluctuation of net load as the objectives. The interval Taylor formula is introduced to the nonlinear operation of AA, an IAA is proposed and applied to the power flow calculation of ADN, and CPLEX and INTLAB are combined to solve the scheduling model. The simulative results of an modified IEEE 33-bus system show that the interval optimal scheduling can provide more intuitive upper and lower bound information of ADN state quantity for the dispatchers, and the proposed method has higher calculation efficiency and the obtained interval results have better conservatism, reliability and validity.
Key words:  uncertainty  improved affine arithmetic  conservativeness  interval optimal scheduling  power flow calculation

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