Economic dispatch using a genetic algorithm: Application to western Algeria's electrical power network

被引:0
|
作者
Ouiddir, R [1 ]
Rahli, M [1 ]
Abdelhakem-Koridak, L [1 ]
机构
[1] Univ Sci & Technol Oran, Fac Elect Engn, Power Syst Optimizat Lab, El Mnaouer 31000, Oran, Algeria
关键词
power transmission losses; economic dispatch; genetic algorithm; normalized incremental cost system; power systems; minimization; optimal load flow;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
A genetic algorithm is used to solve an economic dispatch problem. The chromosome contains only the encoding of a normalized incremental cost system. Therefore, the total number of bits of a chromosome is entirely independent of the number of units. In the first case, the transmission line losses are calculated using the Newton-Raphson method and kept constant. In the second case, the transmission line losses are considered as a linear function of the real generated power. The coefficients are calculated using the Gauss-Seidel method. This method has been applied to the western part of the Algerian power network, and the results have been found to be satisfactory compared with other results obtained using classical methods.
引用
收藏
页码:659 / 668
页数:10
相关论文
共 50 条
  • [1] Application of genetic algorithm on economic dispatch of power systems
    He, Da-Kuo
    Wang, Fu-Li
    Mao, Zhi-Zhong
    Li, Hong-Ru
    Xitong Fangzhen Xuebao / Journal of System Simulation, 2007, 19 (04): : 890 - 892
  • [2] Application of genetic algorithm in economic dispatch of power systems
    Key Laboratory of Process Industry Automation of Liaoning Province, Northeastern University, Shenyang 110004, China
    Dongbei Daxue Xuebao, 2006, 11 (1181-1184):
  • [3] Computational framework for power economic dispatch using genetic algorithm
    Malik, Tahir Nadeem
    Abbasi, Abdul Qudus
    Ahmad, Aftab
    ICINCO 2006: PROCEEDINGS OF THE THIRD INTERNATIONAL CONFERENCE ON INFORMATICS IN CONTROL, AUTOMATION AND ROBOTICS: INTELLIGENT CONTROL SYSTEMS AND OPTIMIZATION, 2006, : 191 - +
  • [4] 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
  • [5] Object-Oriented Economic Power Dispatch of Electrical Power System with minimum pollution using a Genetic Algorithm
    Bouktir, T.
    Slimani, L.
    JOURNAL OF ELECTRICAL SYSTEMS, 2005, 1 (02) : 19 - 34
  • [6] IMPROVEMENT OF DYNAMIC ECONOMIC DISPATCH BY INJECTION OF WIND ENERGY. APPLICATION TO WEST ALGERIA'S ELECTRICAL POWER SYSTEM
    Belmadani, Abderrahim
    Benasla, Lahouaria
    Rahli, Mostepha
    REVUE ROUMAINE DES SCIENCES TECHNIQUES-SERIE ELECTROTECHNIQUE ET ENERGETIQUE, 2012, 57 (03): : 269 - 280
  • [7] Application of micro genetic algorithm to economic load dispatch
    Venkatesh, P.
    Kannan, P.S.
    Anudevi, S.
    Journal of the Institution of Engineers (India): Electrical Engineering Division, 2001, 82 (SEPT.): : 155 - 160
  • [8] Solution to scalarized environmental economic power dispatch problem by using genetic algorithm
    Yasar, Celal
    Ozyon, Serdar
    INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2012, 38 (01) : 54 - 62
  • [9] Application of real-code genetic algorithm to economic load dispatch in power plants
    Chen, Yan-Qiao
    Ni, Min
    Liu, Ji-Zhen
    Wei, Xiang-Guo
    Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering, 2007, 27 (20): : 107 - 112
  • [10] Application of Gravitational Search Algorithm to Analyse Economic Load Dispatch in Power System Network
    Anumeha
    Paul, Kaushik
    Yadav, K. B.
    Kumar, Niranjan
    2016 IEEE 7TH POWER INDIA INTERNATIONAL CONFERENCE (PIICON), 2016,