Implementation of flower pollination algorithm for solving economic load dispatch and combined economic emission dispatch problems in power systems

被引:136
|
作者
Abdelaziz, A. Y. [1 ]
Ali, E. S. [2 ]
Abd Elazim, S. M. [2 ]
机构
[1] Ain Shams Univ, Elect Power & Machine Dept, Fac Engn, Cairo, Egypt
[2] Zagazig Univ, Elect Power & Machine Dept, Fac Engn, Zagazig, Egypt
关键词
Flower pollination algorithm; Economic load dispatch; Combined economic emission dispatch; Emission constraints; Valve point loading effect; Swarm intelligence; PARTICLE SWARM OPTIMIZATION; EVOLUTIONARY PROGRAMMING TECHNIQUES; DIFFERENTIAL EVOLUTION; LINE FLOW; CO2; EMISSIONS; NONCONVEX; SEARCH;
D O I
10.1016/j.energy.2016.02.041
中图分类号
O414.1 [热力学];
学科分类号
摘要
ELD (Economic Load Dispatch) is the process of allocating the required load between the available generation units such that the cost of operation is minimized. The ELD problem is formulated as a nonlinear constrained optimization problem with both equality and inequality constraints. The dual objective CEED (Combined Economic Emission Dispatch) problem is considering the environmental impacts that accumulated from emission of gaseous pollutants of fossil-fueled power plants. In this paper, an implementation of FPA (Flower Pollination Algorithm) to solve ELD and CEED problems in power systems is discussed. Results obtained by the proposed FPA are compared with other optimization algorithms for various power systems. The results introduced in this paper show that the proposed FPA outlasts other techniques even for large scale power system considering valve point effect in terms of total cost and computational time. (C) 2016 Elsevier Ltd. All rights reserved.
引用
收藏
页码:506 / 518
页数:13
相关论文
共 50 条
  • [1] Implementation of Flower Pollination Algorithm for Solving Economic Dispatch Problems in Power System
    Ramli, Nur Fariza
    Kamari, Nor Azwan Mohamed
    Abd Halim, Syahirah
    Ibrahim, Asrul
    Musirin, Ismail
    JURNAL KEJURUTERAAN, 2021, 33 (04): : 1053 - 1060
  • [2] Flower pollination algorithm to solve combined economic and emission dispatch problems
    Abdelaziz, A. Y.
    Ali, E. S.
    Abd Elazim, S. M.
    ENGINEERING SCIENCE AND TECHNOLOGY-AN INTERNATIONAL JOURNAL-JESTECH, 2016, 19 (02): : 980 - 990
  • [3] A Biologically Inspired Modified Flower Pollination Algorithm for Solving Economic Dispatch Problems in Modern Power Systems
    Hari Mohan Dubey
    Manjaree Pandit
    B. K. Panigrahi
    Cognitive Computation, 2015, 7 : 594 - 608
  • [4] A Biologically Inspired Modified Flower Pollination Algorithm for Solving Economic Dispatch Problems in Modern Power Systems
    Dubey, Hari Mohan
    Pandit, Manjaree
    Panigrahi, B. K.
    COGNITIVE COMPUTATION, 2015, 7 (05) : 594 - 608
  • [5] 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
  • [6] Solving the combined economic load and emission dispatch problems using new heuristic algorithm
    Hamedi, Hadi
    INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2013, 46 : 10 - 16
  • [7] Combined Emission Economic Dispatch of Power System in Presence of Solar and Wind Using Flower Pollination Algorithm
    Abid, Anum
    Malik, Tahir Nadeem
    Ashraf, Muhammad Mansoor
    MEHRAN UNIVERSITY RESEARCH JOURNAL OF ENGINEERING AND TECHNOLOGY, 2019, 38 (03) : 581 - 598
  • [8] An innovative hybrid algorithm for solving combined economic and emission dispatch problems
    Verma, Pooja
    Parouha, Raghav Prasad
    SOFT COMPUTING, 2022, 26 (22) : 12635 - 12666
  • [9] An innovative hybrid algorithm for solving combined economic and emission dispatch problems
    Pooja Verma
    Raghav Prasad Parouha
    Soft Computing, 2022, 26 : 12635 - 12666
  • [10] Power search algorithm (PSA) for combined economic-emission dispatch problems considering valve point effects in economic load dispatch
    Arumugam, Prakash
    Coimbatore Subramanian, Ravichandran
    TURKISH JOURNAL OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCES, 2017, 25 (06) : 4647 - 4656