Malcolm R. Irving

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This paper presents a genetic algorithm based approach to the scheduling of generators in a Power System. All the usual unit commitment constraints including ramp rates are considered. An enhanced genetic algorithm incorporating a sequential decomposition logic is used to provide a faster search mechanism. The main advantage of the genetic algorithm(More)
In previous research by the authors of this paper [6] a novel Differential Evolution Algorithm (DEA) was applied directly to the DC power flow based model in order to solve the static Transmission Expansion Planning (TEP) problem. The DEA performed well with regard to both low and medium complexity transmission systems as demonstrated on the Garver six-bus(More)
This letter presents a comparative study between twomethods for estimating the uncertainty interval in power system state estimation. Constrained nonlinear and linear formulations are proposed to estimate the tightest possible upper and lower bounds on the states. The study compares the performance of these methods in terms of estimating the bounds of the(More)
The vast majority of the developed planning methods for power distribution systems consider only one objective function to optimize. This function represents the economical costs of the systems. However, there are other planning aspects that should be considered but they can not be expressed in terms of costs; therefore, they need to be formulated as(More)
This letter introduces a robust generalized state estimator which is able to detect and reject gross measurement errors, parameter errors, and topology errors simultaneously. The solution is based on finding a consistent estimate which minimizes the total number of hypothesized gross errors. The problem is formulated as a mixed integer nonlinear program. A(More)
Short-term electricity price forecasting has become a crucial issue in the power markets, since it forms the basis of maximising profits for the market participants. This paper presents an extensive review of the established approaches to electricity price forecasting. It summarizes the influencing factors of price behaviour and proposes an extended(More)
`Abstract: A new robust estimator based on the concept of uncertainty in the measurements is developed in this paper. The uncertainty in the measurements is modeled via deterministic upper and lower bounds on measurement errors, which take into account known meter accuracies. Inequality constraints are constructed to model the uncertainty in the(More)