Analysis of heuristic algorithms for the transportation model in static and multistage planning in network expansion systems

Romero, Rubén; Rocha, Caroline; Mantovani, Milena dos Santos; Mantovani, José Roberto Sanches

doi:10.1049/ip-gtd:20030725

Cited by 70 publications

(46 citation statements)

References 9 publications

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“…Numerically, the circuit performance according to the topology is used, such as the objective of such indices. Some of the major shortcomings have been addressed in [19]. Most of the constructive algorithms perform a greedy search, which rarely results in good solutions for realistic systems.…”

Section: Solution Methodologymentioning

confidence: 99%

An implementation of AC model to transmission expansion planning considering reliability constraints

MAHMOUDABAD¹

2013

Turk J Elec Eng & Comp Sci

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Abstract:In this paper, a hybrid heuristic methodology that employs fuzzy logic for solving the AC transmission network expansion planning (AC-TEP) problem is presented. An enhanced constructive heuristic algorithm aimed at obtaining a significant quality solution for such complicated problems considering contingency is proposed. In order to indicate the severity of the contingency, 2 performance indices, namely the line flow performance index and voltage performance index, are calculated. An interior point method is applied as a nonlinear programming solver to handle such nonconvex optimization problems, while the objective function includes the costs of the new transmission lines as well as the real power losses. The performance of the proposed method is examined by applying it to the well-known Garver system for different cases. The simulation studies and result analysis demonstrate that the proposed method provides a promising way to find an optimal plan. Obtaining the best quality solution shows the capability and the viability of the proposed algorithm in AC-TEP.

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Section: Solution Methodologymentioning

confidence: 99%

An implementation of AC model to transmission expansion planning considering reliability constraints

MAHMOUDABAD¹

2013

Turk J Elec Eng & Comp Sci

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“…This is a kind of starting point, but a more precise analysis should take into account trends of electric energy production [8]. With respect to this, a dynamic model should be implemented for the evaluation of the savings on primary production, on CO 2 emissions and on local impacts [9].…”

Section: Companymentioning

confidence: 99%

Energy Management and Smart Grids

Miceli

2013

Energies

114

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The paper outlines energy management concepts and the smart grid evolution. The necessity of considering energy management as a crucial innovation in load supplying to permit a more powerful penetration of renewable energy usage at the building and city level and to perform energy savings and CO 2 emissions reduction is pointed out. The driving factors to enhance the current power distribution are presented, and the benefits concerning smart grids are underlined. In the paper, a specific energy management analysis is reported by considering all the electric value chain, and the demand-side management and distributed on site control actions are described. To verify the benefit of energy management control actions, a house simulator and a grid simulator are here presented and the results discussed in three different scenarios. Moreover, in the paper, the evaluation of ecological benefits are reported, and a cost benefit analysis of the energy management system is performed. Results pointed out that with the standard control actions, the system is not economic for the end user, and only by using energy management systems with renewable energy, in site production remunerative energy savings can be reached. Finally the evolution of smart grids is presented, focusing on potential benefits and technical problems. The active grids, microgrids and virtual utility are described, and final consideration on hypothetical scenarios is presented in the conclusion.

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“…The derived multistage model will be inherited all properties and efficiencies from the original single stage model. Examples of the previous works can be found in [14] and [15]. For the formulation proposed in [14], the DC model is employed based on the integer decision variables.…”

Section: Introductionmentioning

confidence: 99%

“…In the case of the formulation presented in [15], the transportation model is applied with a constructive heuristic algorithm. Even though the formulated problem is MILP which is very simpler than MINLP, the KVL constraints are neglected in the formulation.…”

Section: Introductionmentioning

confidence: 99%

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Multistage Transmission Expansion Planning Using Local Branching Method

Asadamongkol

Eua‐arporn

2010

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This paper proposes a method for solving a large-scale multistage transmission expansion planning problem. The formulated problem is of a large-scale mixed integer linear programming which is difficult to handle by general mathematical optimization techniques. A disjunctive model for a single stage transmission expansion planning is extended for solving the multistage model. In addition, a local branching method is employed with an initial solution obtained from the single stage transmission expansion planning problem. The proposed method has been tested with IEEE 24-bus and a northeastern Thailand power system to show it is efficient to implement for actual power system planning. KEYWORDSdisjunctive model, local branching method, mixed integer linear programming, multistage transmission expansion planning.

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Analysis of heuristic algorithms for the transportation model in static and multistage planning in network expansion systems

Cited by 70 publications

References 9 publications

An implementation of AC model to transmission expansion planning considering reliability constraints

An implementation of AC model to transmission expansion planning considering reliability constraints

Energy Management and Smart Grids

Multistage Transmission Expansion Planning Using Local Branching Method

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