Economically adapted transmission systems in open access schemes-application of genetic algorithms

Rudnick, H.; Palma, R.; Cura, E.; Silva, C.

doi:10.1109/59.535684

Cited by 69 publications

(25 citation statements)

References 15 publications

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“…In this section, we describe the multivariate interpolation method to compute the hourly operation cost which is used to calculate the fitness function as indicated in (24). The first step of the method is to determine the changing parameters of the OPF problem.…”

Section: Multivariate Interpolationmentioning

confidence: 99%

“…Recently, the meta-heuristic methods have received considerable attention. The TEP problem has been solved using genetic algorithms (GAs) [24,4], game theory [25], evolutionary algorithms [26], fuzzy approach [27], simulated annealing (SA) [23], particle swarm optimization (PSO) [26,3], evolutionary particle swarm optimization (EPSO) [28], discrete evolutionary particle swarm optimization (DEPSO) [29] and ant colony optimization [26].…”

Section: Introductionmentioning

confidence: 99%

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Transmission expansion planning using multivariate interpolation

Mortaz

Fuerte-Ledezma

Gutiérrez-Alcaraz

et al. 2015

Electric Power Systems Research

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Section: Multivariate Interpolationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Transmission expansion planning using multivariate interpolation

Mortaz

Fuerte-Ledezma

Gutiérrez-Alcaraz

et al. 2015

Electric Power Systems Research

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“…Given this definition, these prices are eventually more adequately called long-term incremental prices rather than marginal ones. The resulting expansion plans, apart from being completely financed by these prices, can also be interpreted as related to economically adapted systems [5]. They constitute reference plans for the expansion of networks in order to cope with forecasted loads.…”

Section: Short/long-term Marginal Pricesmentioning

confidence: 99%

“…However, given the quality of the inherent economic signals, it is important to develop new models to compute LTMP in a more realistic and effective way. Regarding transmission networks, [5] and [6] detail models using genetic algorithms (GAs) and a dynamic programming approach to evaluate LTMP.…”

Section: Introductionmentioning

confidence: 99%

Solving the revenue reconciliation problem of distribution network providers using long-term marginal prices

Leao

Saraiva

2003

IEEE Trans. Power Syst.

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In this paper, we describe an integrated methodology to compute long-term marginal prices in distribution networks. Long-term marginal prices are considered the most interesting and economically sound way of allocating network costs to users. Additionally, they inherently deal with the revenue reconciliation problem, as they generally do not require other large supplementary tariff terms. The proposed methodology uses fuzzy sets to model uncertainties in load forecasts and considers several criteria to guide the identification of solutions. At the end, there is a final decision-making step to select the most adequate expansion plan according to the preferences of the decision maker.

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“…The Chilean regulation defines it as "an installation is economically adapted when it allows producing a given quantity at the lowest cost" (Rudnick et al, 1996). The Peruvian regulation defines this same concept as "a system economically adapted is that electric system where an equilibrium between the energy offer and the demand exists, seeking for low costs and maintaining the quality of the service".…”

Section: Introductionmentioning

confidence: 99%