基于可信理论的多目标模糊机会约束无功优化

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摘要大规模间歇性电源并入电网,其出力的不确定性给电网无功优化带来很大影响。针对间歇式电源出力和负荷的不确定性,将间歇式电源出力和负荷采用梯形模糊参数表示,对传统确定性无功优化模型进行改进,并结合可信性理论和模糊机会约束规划,建立含多模糊参数的多目标模糊机会约束无功优化数学模型。在解法上,通过模糊潮流求解目标函数和约束中的可信度,利用目标隶属度函数和交互满意度将多目标优化转换为单目标优化,并采用蝙蝠算法对模型进行求解。算例结果表明,所提多目标模糊机会约束无功优化模型和算法,能够适应在间歇性电源出力和负荷为模糊参数情况下的电压无功控制优化。

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	刘文学
	梁军
	贠志皓
	牛睿
	褚壮壮

关键词 ：间歇性电源, 不确定性, 多目标无功优化, 可信性理论, 模糊机会约束, 蝙蝠算法

Abstract：Nowadays,large-scale intermittent powers are connected to the grid,and their uncertainty brings great impact to the reactive power optimization.Considering the uncertainty of intermittent powers and loads,trapezoidal fuzzy parameters are used to express the intermittent powers’ output and the load.Then a fuzzy chance constrained reactive power optimization model including multi-fuzzy parameters combined with credibility theory and fuzzy chance constrained programming is established,which is an improvement upon traditional deterministic optimal reactive power model.The fuzzy objective function and chance constraints’ credibility are solved through fuzzy power flow.The multi-objective optimization is converted to a single-objective optimization using target membership functions and interactive satisfaction.Then the bat algorithm is used to solve the model.Numerical results show that the proposed fuzzy chance constrained multi-objective reactive power optimization model and corresponding algorithm are suitable for voltage control and reactive power optimization in the case that the intermittent power output and load are expressed by fuzzy parameters.

Key words： Intermittent power uncertainty multi-objective optimal reactive power flow credibility theory fuzzy chance constraint bat algorithm

收稿日期: 2015-04-28 出版日期: 2015-11-12

PACS:

TM71

基金资助:国家自然科学基金(51177091)资助项目。

通讯作者: 梁军男,1956年生,博士生导师,研究方向为电网分析与控制。

作者简介: 刘文学男,1985年生,博士研究生,研究方向为电网运行与控制。

引用本文:

刘文学,梁军,贠志皓,牛睿,褚壮壮. 基于可信理论的多目标模糊机会约束无功优化[J]. 电工技术学报, 2015, 30(21): 82-89. Liu Wenxue,Liang Jun,Yun Zhihao,Niu Rui,Chu Zhuangzhuang. Multi-objective Fuzzy Chance Constrained Optimal Reactive Power Flow Based on Credibility Theory. Transactions of China Electrotechnical Society, 2015, 30(21): 82-89.

链接本文:

https://dgjsxb.ces-transaction.com/CN/Y2015/V30/I21/82

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