NDLI: Transmission expansion planning using AC-based differential evolution algorithm

Content Provider	IET Digital Library
Author	Alhamrouni, Ibrahim Khairuddin, Azhar Ferdavani, Ali Khorasani Salem, Mohamed
Abstract	The rapid growth of the transmission networks has brought more uncertainties and new requirements in the transmission expansion planning (TEP) to the planners. The existing methods of solving TEP problem have a drawback since the DC load flow and the relaxed load flow models have been utilized to solve TEP problem. In this work, the TEP problem is solved based on mixed integer nonlinear non-convex programming model. A meta-heuristic algorithm by the means of differential evolution algorithm (DEA) is employed as an optimisation tool. An AC load flow model is used in solving the TEP problem, where accurate and realistic results can be obtained. Furthermore, the work considers the constraints checking and system violation such as real and power generation limits, possible number of lines added and bus voltage limits. The proposed technique is tested on Garver's 6 bus system and IEEE 24 bus system and has shown high capability in considering the active and reactive power in the same manner and solving the TEP problem. The method produced improved results for the test systems. In terms of minimising the cost and the solution quality, the proposed method obtained good and challenging results comparing to the previous works.
Starting Page	1637
Ending Page	1644
Page Count	8
ISSN	17518687
Volume Number	8
e-ISSN	17518695
Issue Number	Issue 10, Oct (2014)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-gtd/8/10
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-gtd.2014.0001
Journal	IET Generation, Transmission & Distribution
Publisher Date	2014-05-21
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	AC Load Flow Model AC-based Differential Evolution Algorithm Active Power Bus Voltage Limit Concave Programming Cost Minimisation Cost Reduction DC Load Flow Model IEEE 24 Bus System Integer Programming Load Flow Load Forecasting Metaheuristic Algorithm Mixed Integer Nonlinear Non-convex Programming Model Modified Garver 6-bus System Nonlinear Programming Optimisation Technique Optimisation Tool Power System Economics Power System Managemen Power System Operation Power System Planning And Layout Power Transmission Economics Power Transmission Line Power Transmission Planning Power Transmission, Distribution And Supply Reactive Power Relaxed Load Flow Model TEP Thermal Limit Transmission Expansion Planning Network Transmission Line
Content Type	Text
Resource Type	Article
Subject	Control and Systems Engineering Energy Engineering and Power Technology Electrical and Electronic Engineering

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