Economic dispatch with line flow and emission constraints using genetic algorithm

被引：0
|
作者：
Kamaraj, N. [1 ]
Sivakamasundari, C. [1 ]
Kannan, P.S. [1 ]
机构：
[1] Department of Electrical Engineering, Thiagarajar College of Engineering, Madurai 625 015, Tamil Nadu, India
来源：
Journal of the Institution of Engineers (India): Electrical Engineering Division | 2001年 / 82卷 / DEC.期
关键词：
Constraint theory - Economic and social effects - Electric lines - Electric load dispatching - Electric power systems - Genetic algorithms - Industrial emissions - Quadratic programming;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
This paper presents the solution of economic dispatch (ED)problem with line flow and emission constraints using genetic algorithm (GA). A study mode dispatch, which provides the recommended dispatch for properIy relieving the constraint violations if they exist, bas also been presented in this paper. The genetic algorithm approach is illustrated with a sample power system. The solution obtained using GA on the sample power system is compared with the solution obtained by quadratic programming using Wolfe's algorithm. The comparison confirms the capability of the proposed method for economic dispatch with multiple constraints.
引用
收藏
页码：195 / 199
相关论文
共 50 条
  • [31] Economic Dispatch Analysis By Using Genetic Algorithm: Application In Turkey
    Dosoglu, M. Kenan
    Duman, Serhat
    Ozturk, Ali
    JOURNAL OF POLYTECHNIC-POLITEKNIK DERGISI, 2009, 12 (03): : 167 - 172
  • [32] Hybrid Genetic Algorithm based Combined Economic and Emission Dispatch for utility system
    Kumarappan, N
    Mohan, MR
    PROCEEDINGS OF INTERNATIONAL CONFERENCE ON INTELLIGENT SENSING AND INFORMATION PROCESSING, 2004, : 19 - 24
  • [33] Combined heat and power economic emission dispatch using nondominated sorting genetic algorithm-II
    Basu, M.
    INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2013, 53 : 135 - 141
  • [34] Comparison of Intelligent Techniques to Solve Economic Load Dispatch Problem with Line Flow Constraints
    Karthikeyan, S. Prabhakar
    Palanisamy, K.
    Varghese, L. Jacob
    Raglend, I. Jacob
    Kothari, D. P.
    2009 IEEE INTERNATIONAL ADVANCE COMPUTING CONFERENCE, VOLS 1-3, 2009, : 446 - +
  • [35] Combined economic and emission dispatch solution using gravitational search algorithm
    Guvenc, U.
    Sonmez, Y.
    Duman, S.
    Yorukeren, N.
    SCIENTIA IRANICA, 2012, 19 (06) : 1754 - 1762
  • [36] Economic Emission Load Dispatch using Interval Differential Evolution Algorithm
    Gupta, Archana
    Ray, Shashwati
    REC 2010: PROCEEDINGS OF THE 4TH INTERNATIONAL WORKSHOP ON RELIABLE ENGINEERING COMPUTING: ROBUST DESIGN - COPING WITH HAZARDS, RISK AND UNCERTAINTY, 2010, : 399 - 414
  • [37] Firefly Algorithm for Power Economic Emission Dispatch
    Chiang, Chao-Lung
    PROCEEDINGS OF THE 3RD INTERNATIONAL CONFERENCE ON INTELLIGENT TECHNOLOGIES AND ENGINEERING SYSTEMS (ICITES2014), 2016, 345 : 9 - 16
  • [38] A Solution to the Combined Economic and Emission Dispatch Using Hybrid PSOGSA Algorithm
    Radosavljevic, Jordan
    APPLIED ARTIFICIAL INTELLIGENCE, 2016, 30 (05) : 445 - 474
  • [39] Combined economic and emission dispatch solution using Flower Pollination Algorithm
    Abdelaziz, A. Y.
    Ali, E. S.
    Abd Elazim, S. M.
    INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2016, 80 : 264 - 274
  • [40] MULTIAREA ECONOMIC-DISPATCH WITH TIE LINE CONSTRAINTS
    STREIFFERT, D
    IEEE TRANSACTIONS ON POWER SYSTEMS, 1995, 10 (04) : 1946 - 1951
12345