Optimal Bidding Strategy in Deregulated Power Market Using Krill Herd Algorithm

被引：6
|
作者：
Karri, Chandram [1 ]
Rajababu, Durgam [1 ]
Raghuram, K. [2 ]
机构：
[1] SR Engn Coll, Dept Elect & Elect Engn, Warangal, Telangana, India
[2] Laqkya Inst Technol & Sci, Khammam, India
来源：
APPLICATIONS OF ARTIFICIAL INTELLIGENCE TECHNIQUES IN ENGINEERING, SIGMA 2018, VOL 1 | 2019年 / 698卷
关键词：
Bidding strategy; Krill herd algorithm; Deregulation; OPTIMIZATION;
D O I：
10.1007/978-981-13-1819-1_5
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this article, Krill Herd algorithm (KHA) is implemented for optimal bidding strategy. The bidding coefficients of suppliers and buyers are selected strategically. The code of proposed KHA has been developed in MATLAB. It has been tested on IEEE 30 bus power system. The simulation results are correlated with the existing algorithms. The results proved flexibility of KHA correlated with Particle Swarm Optimization (PSO), Genetic Algorithm (GA) and Monte Carlo simulation in terms of Market Clearing Price (MCP).
引用
收藏
页码：43 / 51
页数：9
相关论文
共 50 条
  • [41] Economic load dispatch using krill herd algorithm
    Mandal, Barun
    Roy, Provas Kumar
    Mandal, Sanjoy
    INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2014, 57 : 1 - 10
  • [42] Solution of Reactive Power Planning with TCSC and UPFC Using Improved Krill Herd Algorithm
    Vikash Kumar Gupta
    Sudhansu Kumar Mishra
    Rohit Babu
    Alok Kumar Singh
    Transactions of the Indian National Academy of Engineering, 2024, 9 (1) : 87 - 99
  • [43] Application of chaotic krill herd algorithm for optimal power flow with direct current link placement problem
    Prasad, Dharmbir
    Mukherjee, Aparajita
    Mukherjee, V.
    CHAOS SOLITONS & FRACTALS, 2017, 103 : 90 - 100
  • [44] Improved Krill Herd Algorithm with Novel Constraint Handling Method for Solving Optimal Power Flow Problems
    Chen, Gonggui
    Lu, Zhengmei
    Zhang, Zhizhong
    ENERGIES, 2018, 11 (01):
  • [45] Optimal Strategic Bidding Using Intelligent Gravitational Search Algorithm for Profit Maximization of Power Suppliers in an Emerging Power Market
    Singh, Satyendra
    Fozdar, Manoj
    Singh, Ajeet Kumar
    INTELLIGENT COMPUTING TECHNIQUES FOR SMART ENERGY SYSTEMS, 2020, 607 : 963 - 971
  • [46] Optimal control of nonlinear system for generator bidding in deregulated power markets
    Liu, YF
    Wu, FF
    Teo, KL
    2005 IEEE POWER ENGINEERING SOCIETY GENERAL MEETING, VOLS, 1-3, 2005, : 395 - 399
  • [47] Double Sided Optimal Bidding Strategy for Electricity Market Using Two Stage Bacterial Foraging Optimization Algorithm
    Karri, Chandram
    Kiran, L. Uday
    Raju, S. Siva Naga
    JOURNAL OF ELECTRICAL ENGINEERING & TECHNOLOGY, 2022, 17 (03) : 1499 - 1508
  • [48] Double Sided Optimal Bidding Strategy for Electricity Market Using Two Stage Bacterial Foraging Optimization Algorithm
    Chandram Karri
    L. Uday Kiran
    S. Siva Naga Raju
    Journal of Electrical Engineering & Technology, 2022, 17 : 1499 - 1508
  • [49] A chaotic krill herd algorithm for optimal solution of the economic dispatch problem
    Bentouati B.
    Chettih S.
    El-Sehiemy R.A.
    International Journal of Engineering Research in Africa, 2017, 31 : 155 - 168
  • [50] The Power Plant Bidding Strategy in Contract Market
    Dong Fugui
    ADVANCED MATERIALS, MECHANICS AND INDUSTRIAL ENGINEERING, 2014, 598 : 656 - 660
12345