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基于柔性分析的风电并网容量优化建模
引用本文:白玉东,王承民,衣涛,陈东,顾黎强,徐芳敏.基于柔性分析的风电并网容量优化建模[J].电力系统自动化,2012,36(12):17-24.
作者姓名:白玉东  王承民  衣涛  陈东  顾黎强  徐芳敏
作者单位:1. 上海交通大学电子信息与电气工程学院,上海市,200240
2. 上海市电力公司浦东供电公司,上海市,200122
基金项目:国家自然科学基金(51177099);上海市科委登山行动计划项目(10DZ0501200)
摘    要:针对目前风电并网容量优化分析对风电出力随机性考虑的不足,在电力系统柔性分析研究的基础上,引入柔性参数,将风电功率的随机性柔性化表示,并将其量化为惩罚成本计入风电运行价值函数中。同时,考虑风电运行价值对风电并网容量的影响,建立了风电并网容量优化柔性数学模型,并运用拉格朗日函数的鞍点理论将此多目标优化模型简化为2个单目标的优化问题。通过IEEE 30节点算例分析表明,风电功率的柔性化表示充分反映了风电出力随机性强的特点,同时优化柔性数学模型的应用使得风电并网容量规划方案的经济性和安全性有机地结合起来,实现了风电运行价值和风电并网容量折中决策。

关 键 词:风力发电  并网容量  优化  不确定信息  柔性分析  风电运行价值  拉格朗日函数  鞍点理论
收稿时间:2011/5/16 0:00:00
修稿时间:6/1/2012 9:31:26 PM

An Optimization Model of Wind Power Grid-connected Capacity Based on Flexibility Analysis
BAI Yudong,WANG Chengmin,YI Tao,CHEN Dong,GU Liqiang,XU Fangmin.An Optimization Model of Wind Power Grid-connected Capacity Based on Flexibility Analysis[J].Automation of Electric Power Systems,2012,36(12):17-24.
Authors:BAI Yudong  WANG Chengmin  YI Tao  CHEN Dong  GU Liqiang  XU Fangmin
Affiliation:1.School of Electronic Information and Electrical Engineering,Shanghai Jiaotong University,Shanghai 200240,China;2.Pudong Power Supply Company,Shanghai Municipal Electric Power Company,Shanghai 200122,China)
Abstract:Given the limitation of optimization models of grid-connected wind capacity in dealing with randomness of wind power,a novel optimizing flexibility model based on the research on flexible analysis of power system is proposed,considering the influence of operation value of wind power.In this model,the randomness of wind power is expressed by introducing flexible parameters and quantified as a penalty cost into the operation value of wind power.By adopting the saddle node theory of Lagrange function,the multi-objective optimization problem is transformed into two single-objective problems.The calculating results on IEEE 30-bus system demonstrate that the model reflects the randomness of wind power adequately,and the economic and security of planning are combined organically by adopting the proposed model.It enables a compromised decision-making between grid-connected wind capacity and operation value of wind power.
Keywords:wind power  grid-connected capacity  optimization  uncertain information  flexibility analysis  operation value of wind power  Lagrange function  saddle node theory
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