收藏本站
收藏 | 手机打开
二维码
手机客户端打开本文

Optimal Power Flow

Ibrahim Oumarou  
【摘要】: Optimal power flow (OPF) is a fundamental tool in power system planning and operation. Prior to the restructuring of the industry, OPF was used in transmission planning, transmission-constrained economic dispatch, security re-dispatch, reactive power management, etc.. The objectives of this work is to used a simulation package and method suitable in solving the OPF problem, to give a succinct definition and function of the OPF, his objective, defined to be some quantifiable metric-typically some economic measure of system performance such as production costs or transmission losses or some system characteristic such as available transfer capability, so as his application in electrical system. The use of OPF is also outline. The general OPF problem formulation and the careful review of different optimization methods are presented. As OPF is a generic term that describes a broad class of problems in which we seek to optimize a specific objective function while satisfying constraints dictated by operational and physical particulars of electric system, the optimization methods review here include:linear programming (LP), nonlinear programming (NLP), quadratic programming (QP), Newton's base method, interior point methods, hybrid method and the artificial intelligence method. All the methods are presented with their advantages and disadvantages in solving an OPF problem. Considering all the proposed methods, an OPF problem is solved using the Newton's method which is well known in the area of power system and has been a standard solution algorithm for the power flow problem for decades. Meanwhile a computer programming package is required in order to solve the problem base on power flow and power loss analysis. PSS/E, power system simulation for engineering is used in the application of Newton's method to OPF. The objectives here are the losses minimization using IEEE 11-bus system. The control variable in this thesis is tap changing transformer. Shunt capacitors is also used for reactive power compensation. And at the end the combination of tap changing transformer and shunt capacitor is used. The simulation result is presented according to the Optimal power flow performance as compare to conventional load flow, the position and influence of tap changing, the shunt placement in the circuit in order to observe the best position for reactive power compensation in losses minimization which is the main objective of this thesis. It is to mention that the control of the tap ratio will normally not drastically reduce the system costs. In reality, tap ratio control allows control of the reactive power flow thus reducing losses. The combination of transformer taps and shunt capacitor gives us the best result for losses minimization. Finally the use of the OPF with other important electrical power system technique, such as optimal power flow incorporating facts devices and optimal power flow solution with transient stability constraints are presented.


知网文化
【相似文献】
中国期刊全文数据库 前19条
1 梁昔明;Modified Augmented Lagrange Multiplier Methods for Large-Scale Chemical Process Optimization[J];Chinese Journal of Chemical Engineering;2001年02期
2 ;Reweighted minimization model for MR image reconstruction with split Bregman method[J];Science China(Information Sciences);2012年09期
3 Liping Wang;Aiwen Luo;;A joint matrix minimization approach for multi-image face recognition[J];Science China(Mathematics);2018年07期
4 张然;Wan Jianxiong;;Power cost minimization in data centers Via Lyapunov optimization[J];High Technology Letters;2016年04期
5 齐佩汉;郑仕链;杨小牛;赵知劲;;Cognitive radio adaptation for power consumption minimization using biogeography-based optimization[J];Chinese Physics B;2016年12期
6 张清宇;Multiple objectives application approach to waste minimization[J];Journal of Zhejiang University Science;2002年04期
7 黄宏新,曹泽星,刘述斌;Variance minimization for variational quantum Monte Carlo method[J];Progress in Natural Science;1997年05期
8 ZHANG Peng;LIU Yang;LIU Cai;CUI Fangzi;YANG Xueting;PEI Sijia;;Seislet transform denoising based on total variation minimization[J];Global Geology;2015年01期
9 ;Variance minimization for continuous-time Markov decision processes: two approaches[J];Applied Mathematics:A Journal of Chinese Universities(Series B);2010年04期
10 ;Reaction path synthesis methodology for waste minimization[J];Science in China(Series B);2004年03期
11 CHEN WenGu;LI YaLing;;Stable recovery of low-rank matrix via nonconvex Schatten p-minimization[J];Science China(Mathematics);2015年12期
12 ;Comparative study on constructal optimizations of T-shaped fin based on entransy dissipation rate minimization and maximum thermal resistance minimization[J];Science China(Technological Sciences);2011年05期
13 张石生;李向荣;陈志坚;;Quadratic minimization for equilibrium problem variational inclusion and fixed point problem[J];Applied Mathematics and Mechanics(English Edition);2010年07期
14 黄宴委;彭铁根;;Support vector regression-based internal model control[J];Journal of Harbin Institute of Technology;2007年03期
15 ;Power minimization with derivative constraints for high dynamic GPS interference suppression[J];Science China(Information Sciences);2012年04期
16 徐徽宁,孙麟平;AN ITERATED-SUBSPACEMINIMIZATION METHODS WITHSYMMETRIC RANK-ONE UPDATING[J];Numerical Mathematics A Journal of Chinese Universities(English Series);2004年02期
17 KAUR Jasmeet;GILL Sandeep Singh;KAUR Navneet;;Optimization of CMOS Repeater Driven Interconnect RC Line Using Genetic Algorithm[J];Journal of Shanghai Jiaotong University(Science);2017年02期
18 ;A NEW FINITE ELEMENT APPROXIMATION OF A STATE-CONSTRAINED OPTIMAL CONTROL PROBLEM[J];Journal of Computational Mathematics;2009年01期
19 ;Heuristic for no-wait flow shops with makespan minimization based on total idle-time increments[J];Science in China(Series F:Information Sciences);2008年07期
中国重要会议论文全文数据库 前10条
1 ;Nearly-Optimal Control Algorithm for Nonlinear System with State and Input Delays[A];Proceedings of the 2011 Chinese Control and Decision Conference(CCDC)[C];2011年
2 ;Introduction to molecular mechanics and its studies of biomolecules[A];The 2nd Cross-Straits Symposium on Biology-Inspired Theoretical Problems--Proceedings of CCAST (World Laboratory) Workshop[C];2000年
3 Qingqing Ma;Ming Hao;Lihua Chen;;Homology Modeling of Rdlβ5 GABA receptor[A];第二届国际计算科学与工程国际学术研讨会论文集[C];2013年
4 ;Multiobjective Optimization Method for Solving Nonlinear Complementarity Problem[A];Proceedings of the 2011 Chinese Control and Decision Conference(CCDC)[C];2011年
5 Yunong Zhang;Zhiyuan Qi;Huihui Gong;Jian Li;Binbin Qiu;;About Step-Length of ZeaD(Zhang et al Discretization) Formula 4IgS_Y for Future Minimization via Fan Equations[A];第30届中国控制与决策会议论文集(1)[C];2018年
6 C.Martin;Y.Lu;Krauss-Maffei;;Two in One-Combining Mechanical and Thermal Solids/Liquids Separation Technology[A];第六届化学工程与生物技术展览暨会议参展商新产品和服务报告[C];2004年
7 Guo Xiwang;Liu Shixin;;Timed Petri Net Based Optimization Approach for Selective Disassembly Lot Sizing[A];第25届中国控制与决策会议论文集[C];2013年
8 ;Identification of Countercurrent Rare Earth Extraction Process based on State-space Model[A];Proceedings of 2010 Chinese Control and Decision Conference[C];2010年
9 Xiaomin Xie;Tingting Wang;Bo Liu;Kui Li;;A Clustering-Plane Based Energy Optimization Method for Image Segmentation[A];第30届中国控制与决策会议论文集(3)[C];2018年
10 XU Shiyun;YI Jun;MA Shicong;CHU Xiaojie;DONG Zichen;CHEN Zhanming;;A Free-Weighting Matrix Approach to Wide-area Coordinated Control among Multiple FACTS Devices[A];第36届中国控制会议论文集(G)[C];2017年
中国博士学位论文全文数据库 前7条
1 Ibrahim Oumarou;[D];浙江大学;2009年
2 叶鹏;电力市场下基于FACTS的优化潮流控制研究[D];华北电力大学(河北);2004年
3 张琳;FACTS控制器间的交互影响分析及控制策略研究[D];浙江大学;2007年
4 高磊;多FACTS阻尼控制交互作用及协调研究[D];山东大学;2014年
5 吴艳娟;FACTS在含大型风电场的电力系统稳定控制中的应用研究[D];天津大学;2013年
6 刘青;含FACTS元件线路保护若干问题的研究[D];华北电力大学(河北);2010年
7 钱峰;典型FACTS装置在电网中接入点、容量及类型选择方法研究[D];中国电力科学研究院;2009年
中国硕士学位论文全文数据库 前10条
1 胡炼;计及FACTS元件的戴维南动态等值与电压稳定性分析[D];湖南大学;2014年
2 吕棋鸿;FACTS设备对提高电网输电断面潮流极限的应用研究[D];福州大学;2017年
3 侯鹏飞;高压交流输电系统中多FACTS装置的优化配置研究[D];华北水利水电大学;2018年
4 尚慧玉;含有FACTS元件的交直流混合输电系统的小干扰稳定分析[D];中国电力科学研究院;2007年
5 张非;基于模糊控制和专家系统的多FACTS电压稳定协调控制[D];华北电力大学;2014年
6 孙沐夏;含FACTS设备电力系统的潮流计算方法研究[D];华南理工大学;2013年
7 张立志;含FACTS元件的互联电网输电能力研究[D];华北电力大学(北京);2007年
8 于晓军;FACTS装置对电网的长期可靠性影响的研究[D];华北电力大学(河北);2010年
9 李世群;风电场FACTS设备建模与交互影响研究[D];天津大学;2014年
10 郑蔚晨;多类型FACTS的定容选址研究[D];昆明理工大学;2016年
中国重要报纸全文数据库 前1条
1 中国人民大学国际关系学院 李石;“平等”概念:中英文差异及其生成[N];中国社会科学报;2015年
中国知网广告投放
 快捷付款方式  订购知网充值卡  订购热线  帮助中心
  • 400-819-9993
  • 010-62982499
  • 010-62783978