Dynamic optimal power flow of combined heat and power system with Valve-point effect using Krill Herd algorithm

被引:25
作者
Adhvaryyu, P. K. [1 ]
Chattopadhyay, P. K. [2 ,4 ]
Bhattacharya, A. [3 ]
机构
[1] Bankura Unnayani Inst Engn, Dept Elect Engn, Bankura 722146, W Bengal, India
[2] Jadavpur Univ, EE Dept, Kolkata, W Bengal, India
[3] Natl Inst Technol, Dept Elect Engn, Agartala 799046, Tripura, India
[4] Netaji Subhas Engn Coll, Dept Elect Engn, Kolkata 700152, W Bengal, India
关键词
Combined heat and power (CHP); Dynamic optimal power flow (DOPF); Combined heat and power economic dispatch (CHPED); Combined heat and power economic emission dispatch (CHPEED); Feasible operation region (FOR); Krill Herd(KH); OPTIMAL LOAD FLOW; DISPATCH; OPTIMIZATION;
D O I
10.1016/j.energy.2017.03.046
中图分类号
O414.1 [热力学];
学科分类号
摘要
Combined heat and power (CHP) plant generates electrical power as well as heat energy in a single process yielding more than 80% overall efficiency and reduces emission level significantly. The production of power and heat in CHP unit is mutually dependent on each other and is constrained by the feasible operating region. This paper presents a maiden formulation as well as a method for solution of the dynamic optimal load flow problem in power system involving CHP. A bio-inspired Krill Herd Algorithm has been utilized for minimization of cost of production, while maintaining voltage level at all buses and satisfying all other constraints. Herding behavior of Krill individuals is the basis on which this algorithm works. The distance of each Krill individual from food and the highest density of swarm are considered as the fitness function. Two test systems, one with 6 generators and the other with 19 generators have been considered to verify the effectiveness of this algorithm. Both the systems include a number of CHP units and have been adapted from IEEE standard Test Systems. The test results are encouraging. (C) 2017 Elsevier Ltd. All rights reserved.
引用
收藏
页码:756 / 767
页数:12
相关论文
共 36 条
  • [1] Optimal power flow using particle swarm optimization
    Abido, MA
    [J]. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2002, 24 (07) : 563 - 571
  • [2] Adhvaryyu A., 2015, IEEEXPLORE, P1
  • [3] Adhvaryyu P. K., 2014, POW SYST C NPSC, P1
  • [4] Adhvaryyu PK, 2014, 2014 IEEE INNOVATIVE SMART GRID TECHNOLOGIES - ASIA (ISGT ASIA), P338, DOI 10.1109/ISGT-Asia.2014.6873814
  • [5] Optimal power flow solutions under variable load conditions
    Almeida, KC
    Salgado, R
    [J]. IEEE TRANSACTIONS ON POWER SYSTEMS, 2000, 15 (04) : 1204 - 1211
  • [6] A GENERAL PARAMETRIC OPTIMAL POWER-FLOW
    ALMEIDA, KC
    GALIANA, FD
    SOARES, S
    [J]. IEEE TRANSACTIONS ON POWER SYSTEMS, 1994, 9 (01) : 540 - 547
  • [7] OPTIMAL LOAD FLOW WITH STEADY-STATE SECURITY
    ALSAC, O
    STOTT, B
    [J]. IEEE TRANSACTIONS ON POWER APPARATUS AND SYSTEMS, 1974, PA93 (03): : 745 - 751
  • [8] [Anonymous], 2012, POWER SYSTEM TEST CA
  • [9] A MODIFIED NEWTON METHOD FOR OPTIMAL POWER FLOW USING QUADRATIC APPROXIMATED POWER FLOW
    AOKI, K
    KANEZASHI, M
    [J]. IEEE TRANSACTIONS ON POWER APPARATUS AND SYSTEMS, 1985, 104 (08): : 2119 - 2125
  • [10] Application of biogeography-based optimisation to solve different optimal power flow problems
    Bhattacharya, A.
    Chattopadhyay, P. K.
    [J]. IET GENERATION TRANSMISSION & DISTRIBUTION, 2011, 5 (01) : 70 - 80