AI solution to economic dispatch

QR Code

AI solution to economic dispatch

In this study, proposes an AI optimization method for solving the economic dispatch (ED) problem in power systems. Many nonlinear characteristics of the generator, such as ramp rate limits, prohibited operating zone, and non-smooth cost functions are considered using the proposed method in practical...

Full description

Bibliographic Details
Main Author:	Nur Farhanah, Wakiman
Format:	Undergraduates Project Papers
Language:	English
Published:	2009
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/1944/ http://umpir.ump.edu.my/id/eprint/1944/1/20.AI%20solution%20to%20economic%20dispatch.pdf

Similar Items

Economic dispatch solution using moth-flame optimization algorithm
by: Mohd Herwan, Sulaiman, et al.
Published: (2018)

A New Approach To The Solution Of Economic Dispatch Using Genetic Algorithm
by: Al-Shetwi, Ali Q., et al.
Published: (2016)

An application of barnacles mating optimizer algorithm for combined economic and emission dispatch solution
by: Mohd Herwan, Sulaiman, et al.
Published: (2021)

Grey Wolf Optimizer for Solving Economic Dispatch Problems
by: Wong, Lo Ing, et al.
Published: (2014)

Comparative Study of Economic Dispatch by Using Various Optimization Techniques
by: Hong, Mee Song, et al.
Published: (2014)

Solving Economic Dispatch Problems Utilizing Cuckoo Search Algorithm
by: M. H., Sulaiman, et al.
Published: (2014)

An application of barnacles mating optimizer for solving economic dispatch problems
by: Mohd Herwan, Sulaiman, et al.
Published: (2019)

Economic power dispatch solutions incorporating stochastic wind power generators by moth flow optimizer
by: Alam, Mohammad Khurshed, et al.
Published: (2023)

Modified Firefly Algorithm in Solving Economic Dispatch Problems with Practical Constraints
by: M. H., Sulaiman
Published: (2012)

A New Swarm Intelligence Technique for Solving Economic Dispatch Problem
by: M. H., Sulaiman, et al.
Published: (2013)

Solving Economic Dispatch Problems with Practical Constraints Utilizing Grey Wolf Optimizer
by: Lo, Ing Wong, et al.
Published: (2015)

Fruit Fly Optimization (FFO) for Solving Economic Dispatch Problem in Power System
by: Harold, Geruna, et al.
Published: (2017)

An Application of Grey Wolf Optimizer for Solving Combined Economic Emission Dispatch Problems
by: Hong, Mee Song, et al.
Published: (2014)

Alternative method for economic dispatch utilizing grey wolf optimizer
by: Wong, Lo Ing
Published: (2015)

Modeling of photovoltaic (PV) module temperature based on ambient factor in Malaysia using ANFIS
by: Wakiman, Nur Farhanah
Published: (2012)

Optimal Reactive Power Dispatch Solution by Loss Minimization Using Moth-Flame Optimization Technique
by: Rebecca Ng, Shin Mei, et al.
Published: (2017)

An alternative method to solve combined economic emission dispatch problems using flower pollination algorithm
by: Hong, Mee Song
Published: (2016)

An Application of Differential Search Algorithm in Solving Non-Convex Economic Dispatch Problems with Valve-Point Effects
by: M. H., Sulaiman
Published: (2013)

Ant Lion Optimizer for Optimal Reactive Power Dispatch Solution
by: Rebecca Ng, Shin Mei, et al.
Published: (2015)

Economic dispatch considering of electric vehicle in power system network / Yap Jiazhen
by: Yap, Jiazhen
Published: (2017)

An Application of Flower Pollination Algorithm to Solve Combined Economic Emission Dispatch by Considering Valve-point Loading Effect
by: Hong, Mee Song, et al.
Published: (2015)

Solving Economic Dispatch (ED) Problem Using Artificial Immune System, Evolutionary Programming and Particle Swarm Optimization
by: Nor Rul Hasma, Abdullah, et al.
Published: (2015)

Optimal dispatch of power generation software package using MATLAB
by: Ramli, Muhamad Firdaus
Published: (2007)

Nature Inspired Computing Techniques for Optimal Reactive Power Dispatch
by: Rebecca Ng, Shin Mei, et al.
Published: (2016)

Cohesive meta-heuristic approach for solving combined economic and emission load dispatch
by: Mohd Herwan, Sulaiman, et al.
Published: (2020)

Solving Economic Dispatch Problems with Practical Constraints Utilizing Differential Search Algorithm
by: M. H., Sulaiman, et al.
Published: (2013)

An Application of Cuckoo Search Algorithm for Solving Combined Economic and Emission Dispatch Problem
by: M. H., Sulaiman, et al.
Published: (2015)

PSO based optimal reactive power dispatch (ORPD) considering multi-contingencies
by: Nor Rul Hasma, Abdullah, et al.
Published: (2018)

Loss Minimisation by Optimal Reactive Power Dispatch Using Cuckoo Search Algorithm
by: M. H., Sulaiman, et al.
Published: (2014)

Operating Generator Selection Applied for Reactive Power Dispatched Using Evolutionary Programming Technique
by: Nor Rul Hasma, Abdullah, et al.
Published: (2013)

Study of nature inspired computing (NIC) technique for optimal reactive power dispatch problems
by: Sulaiman, Mohd Herwan
Published: (2017)

Success history moth flow optimization for multi-goal generation dispatching with nonlinear cost functions
by: Alam, Mohammad Khurshed, et al.
Published: (2023)

Optimal Reactive Power Dispatch for Voltage Stability Improvement Considering Line Contingencies using PSO
by: Nor Rul Hasma, Abdullah, et al.
Published: (2013)

Augmented reality an economical solution for engineers and designers
by: Nasir, Sidra, et al.
Published: (2019)

Solving the optimal reactive power dispatch problem based on moth-flame optimizer for power system operation and planning
by: Zuriani, Mustaffa, et al.
Published: (2018)

Application of AI technique for optimal location of TCSC device
by: Mohd Daim, Mohd Diah
Published: (2010)

Application of AI technique for optimal location of UPFC device
by: Tham, Sai Hou
Published: (2010)

Edge AI in LoRa based MESH network
by: Ng, Xin Hao
Published: (2022)

An Application of Multi-Verse Optimizer for Optimal Reactive Power Dispatch Problem
by: M. H., Sulaiman, et al.
Published: (2016)

Cuckoo search algorithm as an optimizer for optimal reactive power dispatch problems
by: M. H., Sulaiman, et al.
Published: (2017)