Short-Term Hydrothermal Scheduling using Imperialist Competitive Algorithm

In this study, the Imperialist Competitive Algorithm (ICA) is proposed to solve a multi-chain Short-Term Hydrothermal Scheduling problem (STHTS). It aims to minimize the generation cost of the thermal plants while satisfying the thermal and hydro plants constraints. In order to evaluate the effectiveness of the ICA, it has been tested on a system having a hydro plant with four-cascaded reservoir and a thermal plant. The results are compared with that obtained by other techniques. The ICA has the good convergence and the better results.

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Short-term optimal hydrothermal scheduling problem considering power flow constraint

2015 IEEE Congress on Evolutionary Computation (CEC) ◽

10.1109/cec.2015.7257294 ◽

2015 ◽

Cited By ~ 1

Author(s):

Jingrui Zhang ◽

Shuang Lin ◽

Xiangxiang Zeng ◽

Qinghui Tang

Keyword(s):

Power Flow ◽

Scheduling Problem ◽

Short Term ◽

Hydrothermal Scheduling

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Multi-objective Flexible Job Shop Scheduling Problem with Energy Consumption Constraint Using Imperialist Competitive Algorithm

Intelligent Computing Theories and Application - Lecture Notes in Computer Science ◽

10.1007/978-3-319-95930-6_66 ◽

2018 ◽

pp. 659-669 ◽

Cited By ~ 1

Author(s):

Chengzhi Guo ◽

Deming Lei

Keyword(s):

Energy Consumption ◽

Job Shop ◽

Job Shop Scheduling ◽

Imperialist Competitive Algorithm ◽

Flexible Job Shop ◽

Scheduling Problem ◽

Flexible Job Shop Scheduling ◽

Job Shop Scheduling Problem ◽

Shop Scheduling ◽

Competitive Algorithm

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Hybrid DE–SQP algorithm for non-convex short term hydrothermal scheduling problem

Energy Conversion and Management ◽

10.1016/j.enconman.2010.07.056 ◽

2011 ◽

Vol 52 (1) ◽

pp. 757-761 ◽

Cited By ~ 33

Author(s):

S. Sivasubramani ◽

K. Shanti Swarup

Keyword(s):

Scheduling Problem ◽

Short Term ◽

Sqp Algorithm ◽

Hydrothermal Scheduling

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A spot price of electricity algorithm applied to lossy short-term hydrothermal scheduling problem with limited energy supply thermal units

European Transactions on Electrical Power ◽

10.1002/etep.177 ◽

2008 ◽

Vol 18 (3) ◽

pp. 296-312 ◽

Cited By ~ 2

Author(s):

Celal Yaşar ◽

Salih Fadıl ◽

Mustafa Babadağı

Keyword(s):

Energy Supply ◽

Spot Price ◽

Scheduling Problem ◽

Short Term ◽

Hydrothermal Scheduling ◽

Limited Energy

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Solving Bi-Objective Short-Term Cascaded Hydrothermal Scheduling Problem Using Modified Cuckoo Search Algorithm

AETA 2015: Recent Advances in Electrical Engineering and Related Sciences - Lecture Notes in Electrical Engineering ◽

10.1007/978-3-319-27247-4_19 ◽

2016 ◽

pp. 213-222 ◽

Cited By ~ 1

Author(s):

Thang Trung Nguyen ◽

Tuan Van Duong ◽

Dieu Ngoc Vo ◽

Bao Quoc Nguyen

Keyword(s):

Search Algorithm ◽

Cuckoo Search ◽

Cuckoo Search Algorithm ◽

Scheduling Problem ◽

Short Term ◽

Hydrothermal Scheduling

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Application of Dynamic Non-Linear Programming Technique to Non-Convex Short-Term Hydrothermal Scheduling Problem

Energies ◽

10.3390/en10091440 ◽

2017 ◽

Vol 10 (9) ◽

pp. 1440 ◽

Cited By ~ 11

Author(s):

Omid Hoseynpour ◽

Behnam Mohammadi-ivatloo ◽

Morteza Nazari-Heris ◽

Somayeh Asadi

Keyword(s):

Linear Programming ◽

Scheduling Problem ◽

Short Term ◽

Programming Technique ◽

Hydrothermal Scheduling ◽

Non Linear Programming ◽

Non Linear ◽

Linear Programming Technique

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Combining Extended Imperialist Competitive Algorithm with a Genetic Algorithm to Solve the Distributed Integration of Process Planning and Scheduling Problem

Mathematical Problems in Engineering ◽

10.1155/2017/9628935 ◽

2017 ◽

Vol 2017 ◽

pp. 1-13 ◽

Cited By ~ 1

Author(s):

Shuai Zhang ◽

Yangbing Xu ◽

Zhinan Yu ◽

Wenyu Zhang ◽

Dejian Yu

Keyword(s):

Genetic Algorithm ◽

Mathematical Model ◽

Process Planning ◽

Imperialist Competitive Algorithm ◽

Scheduling Problem ◽

Integrated Process ◽

Planning And Scheduling ◽

Machine Breakdown ◽

Competitive Algorithm ◽

Effectiveness And Efficiency

Distributed integration of process planning and scheduling (DIPPS) extends traditional integrated process planning and scheduling (IPPS) by considering the distributed features of manufacturing. In this study, we first establish a mathematical model which contains all constraints for the DIPPS problem. Then, the imperialist competitive algorithm (ICA) is extended to effectively solve the DIPPS problem by improving country structure, assimilation strategy, and adding resistance procedure. Next, the genetic algorithm (GA) is adapted to maintain the robustness of the plan and schedule after machine breakdown. Finally, we perform a two-stage experiment to prove the effectiveness and efficiency of extended ICA and GA in solving DIPPS problem with machine breakdown.

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