Improved harmony search algorithm for the solution of non-linear non-convex short-term hydrothermal scheduling

被引:63
|
作者
Nazari-Heris, Morteza [1 ]
Babaei, Amir Fakhim [1 ]
Mohammadi-Ivatloo, Behnam [1 ]
Asadi, Somayeh [2 ]
机构
[1] Univ Tabriz, Fac Elect & Comp Engn, Tabriz, Iran
[2] Penn State Univ, Dept Architectural Engn, 104 Engn Unit A, University Pk, PA 16802 USA
关键词
Harmony search (HS); Short-term scheduling; Hydrothermal system; Non-convex optimization; Economic dispatch; PARTICLE SWARM OPTIMIZATION; CODED GENETIC ALGORITHM; HYBRID DIFFERENTIAL EVOLUTION; LEARNING BASED OPTIMIZATION; CASCADED RESERVOIRS; POWER-SYSTEMS; UNIT COMMITMENT; IMPLEMENTATION;
D O I
10.1016/j.energy.2018.03.043
中图分类号
O414.1 [热力学];
学科分类号
摘要
The short-term hydrothermal scheduling (SHTS) problem is defined as one of the most important and challenging scheduling problems, which aims to obtain the minimum cost of electrical energy production. Considering an insignificant generation cost of hydropower systems, the objective of STHS is to minimize the operation cost of thermal generation plants. The optimal generation scheduling of hydro and thermal units is a complex non-convex optimization problem taking into account a set of equality and inequality constraints. The challenging constraints of the STHS problem are valve-point loading effect of thermal units, power transmission loss of the system, generation capacity of thermal and hydro units, and load balance. In this paper, an improved harmony search (IHS) optimization algorithm is employed on the non-linear non-convex STHS problem. The proposed method is employed on two test systems in order to evaluate the performance of the applied optimization method on the STHS problem. The simulation results are provided and compared with those reported in recent publications, which proves the effectiveness of the proposed IHS method in the solution of the STHS problem. (C) 2018 Elsevier Ltd. All rights reserved.
引用
收藏
页码:226 / 237
页数:12
相关论文
共 50 条
  • [1] Application of Dynamic Non-Linear Programming Technique to Non-Convex Short-Term Hydrothermal Scheduling Problem
    Hoseynpour, Omid
    Mohammadi-ivatloo, Behnam
    Nazari-Heris, Morteza
    Asadi, Somayeh
    ENERGIES, 2017, 10 (09):
  • [2] Lightning attachment procedure optimization algorithm for nonlinear non-convex short-term hydrothermal generation scheduling
    Mohamed, Maha
    Youssef, Abdel-Raheem
    Kamel, Salah
    Ebeed, Mohamed
    SOFT COMPUTING, 2020, 24 (21) : 16225 - 16248
  • [3] Hybrid DE-SQP algorithm for non-convex short term hydrothermal scheduling problem
    Sivasubramani, S.
    Swarup, K. Shanti
    ENERGY CONVERSION AND MANAGEMENT, 2011, 52 (01) : 757 - 761
  • [4] Enhanced Particle Swarm Optimization for Short-Term Non-Convex Economic Scheduling of Hydrothermal Energy Systems
    Jadoun, Vinay Kumar
    Gupta, Nikhil
    Niazi, K. R.
    Swarnkar, Anil
    JOURNAL OF ELECTRICAL ENGINEERING & TECHNOLOGY, 2015, 10 (05) : 1940 - 1949
  • [5] Evolutionary Harmony Search Algorithm for Non-convex Economic Dispatch
    Vo Ngoc Dieu
    Khai Phuc Nguyen
    Nguyen Thanh Hop
    Le Anh Dung
    Ongsakul, Weerakorn
    2013 48TH INTERNATIONAL UNIVERSITIES' POWER ENGINEERING CONFERENCE (UPEC), 2013,
  • [6] Tournament-based harmony search algorithm for non-convex economic load dispatch problem
    Al-Betar, Mohammed Azmi
    Awadallah, Mohammed A.
    Khader, Ahamad Tajudin
    Bolaji, Asaju La'aro
    APPLIED SOFT COMPUTING, 2016, 47 : 449 - 459
  • [7] Gravitational Search Algorithm Optimization for Short-term Hydrothermal Scheduling
    Bhattacharya, Aniruddha
    Bhattacharya, A.
    Datta, Shatadru
    Basu, Meheli
    2012 INTERNATIONAL CONFERENCE ON EMERGING TRENDS IN ELECTRICAL ENGINEERING AND ENERGY MANAGEMENT (ICETEEEM - 2012), 2012,
  • [8] Developments and Design of Differential Evolution Algorithm for Non-linear/Non-convex Engineering Optimization
    Tiwari, Pooja
    Mishra, Vishnu Narayan
    Parouha, Raghav Prasad
    ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING, 2024, 31 (04) : 2227 - 2263
  • [9] Short-term economic environmental hydrothermal scheduling using improved multi-objective gravitational search algorithm
    Li, Chunlong
    Zhou, Jianzhong
    Lu, Peng
    Wang, Chao
    ENERGY CONVERSION AND MANAGEMENT, 2015, 89 : 127 - 136
  • [10] Optimal short-term generation scheduling of hydrothermal systems by implementation of real-coded genetic algorithm based on improved Muhlenbein mutation
    Nazari-Heris, M.
    Mohammadi-Ivatloo, B.
    Haghrah, A.
    ENERGY, 2017, 128 : 77 - 85