A reliable approach for solving the transmission network expansion planning problem using genetic algorithms

Gil, H.A.; Silva, E.L da

doi:10.1016/s0378-7796(01)00102-x

Cited by 50 publications

(31 citation statements)

References 3 publications

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“…To ensure its compliance with practical engineering and management considerations, both a planner's experience and rules for guidance are needed, which may include but need not be limited to [1][2][3][4][5][6]: network redundancy; environmental factors; financial limits; estimated construction time of lines and the time horizon of the planning.…”

Section: Selection Of Candidate Circuitsmentioning

confidence: 99%

“…One possible method to solve the planning objective is to use the Bender decomposition method. However, this method does not ensure a global optimum if the problem is not convex, similar to other linear methods [1]. Therefore, genetic algorithms (GAs) that have a global search capability are used in our approach.…”

Section: Application Of a Genetic Algorithm To The Planning Problemmentioning

confidence: 99%

“…The proposed method uses one gene to represent one expansion route [1]. Inside each gene, an allele represents the number of lines to expand in the transmission route.…”

Section: Application Of a Genetic Algorithm To The Planning Problemmentioning

confidence: 99%

“…Conventionally power-system expansion planning, including both generation-expansion and transmission-expansion planning, is performed solely by the system operator, and is therefore known as centralised planning [1,2]. In transmission expansion planning, the task is to determine when and where new transmission facilities should be installed so that they operate in an optimal manner, subject to a list of technical, financial and environmental constraints.…”

Section: Introductionmentioning

confidence: 99%

“…The focus of traditional centralised planning less in minimising the total investment capital required for a scheme while still fulfilling the obligation to reliably supply energy [1][2][3][4][5][6][7]. In traditionally regulated environments, power utility stakeholders play a decisive role in the power-system planning process.…”

Section: Introductionmentioning

confidence: 99%

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Transmission planning in a deregulated environment

Dong

Wong

2006

IEE Proc., Gener. Transm. Distrib.

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The worldwide trend for the deregulation of the electricity generation and transmission industries has led to dramatic changes in system operation and planning procedures. The optimum approach to transmission-expansion planning in a deregulated environment is an open problem especially when the responsibilities of the organisations carrying out the planning work need to be addressed. To date there is a consensus that the system operator and network manager perform the expansion planning work in a centralised way. However, with an increasing input from the electricity market, the objectives, constraints and approaches toward transmission planning should be carefully designed to ensure system reliability as well as meeting the market requirements. A market-oriented approach for transmission planning in a deregulated environment is proposed. Case studies using the IEEE 14-bus system and the Australian national electricity market grid are performed. In addition, the proposed method is compared with a traditional planning method to further verify its effectiveness.

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Section: Selection Of Candidate Circuitsmentioning

confidence: 99%

Section: Application Of a Genetic Algorithm To The Planning Problemmentioning

confidence: 99%

“…The proposed method uses one gene to represent one expansion route [1]. Inside each gene, an allele represents the number of lines to expand in the transmission route.…”

Section: Application Of a Genetic Algorithm To The Planning Problemmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Transmission planning in a deregulated environment

Dong

Wong

2006

IEE Proc., Gener. Transm. Distrib.

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HVDC Grid Planning

Ergun

Hertem

2016

HVDC Grids

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Convexification method for bilinear transmission expansion problem

Cedeno

Arora

2013

Int. Trans. Electr. Energ. Syst.

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SUMMARY This research presents a method for convexifying the non‐linear constraints and the objective function for the Transmission Network Expansion Planning Problem (TNEP). The TNEP seeks to identify the best set of transmission capacity additions to meet a future electric power demand. The TNEP is a non‐convex Mixed Integer Non‐linear Programming problem for which a variety of primal solution methods have been designed. In this paper, the TNEP is formulated as a bilinear programming problem subject to bilinear constraints. This allows resolving the non‐linearities through convexification of the non‐linear objective function and the constraints for a relaxation of the TNEP in which integrality requirements are removed. The final solution for the original TNEP problem is obtained by using a branch and bound strategy. It was found by using a two‐node test case that the convexification method presented in this paper in conjunction with a brand and bound strategy identifies the optimal solution. Successfully solving a small‐scale test problem through convexification presents a promising scenario to solve larger scale problems. This primal‐dual method allows identifying the duality gap which is a limitation of primal methods. Further multidisciplinary research is needed to extend the method presented here to larger cases and real life networks. Copyright © 2013 John Wiley & Sons, Ltd.

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A reliable approach for solving the transmission network expansion planning problem using genetic algorithms

Cited by 50 publications

References 3 publications

Transmission planning in a deregulated environment

Transmission planning in a deregulated environment

HVDC Grid Planning

Convexification method for bilinear transmission expansion problem

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