A. Robin Wallace

Distributed Generation Capacity Evaluation Using Combined Genetic Algorithm and OPF

A range of techniques has been proposed to define the optimal locations and capacities of distributed generation (DG) as a means of ensuring that the maximum amount of DG can be connected to existing and future networks. However, there are limitations inherent in these methods, not least in finding the best combination of sites for connecting a predefined number of DGs. Here, a method combining optimal power flow and genetic algorithms aims to meet this requirement. Its use would be in enabling Distribution Network Operators to search a network for the best sites and capacities available to strategically connect a defined number of DGs among a large number of potential combinations. Some applications of the proposed methodology confirmed its effectiveness in sitting and sizing an assigned number of DG units.

A Fully Coupled Wave-to-Wire Model of an Array of Wave Energy Converters

This paper describes a fully coupled, wave-to-wire time-domain model that can simulate the hydrodynamic, mechanical, and electrical response of an array of wave energy converters. Arrays of any configuration can be simulated to explore both the effects of the array on the electricity network and of network events on the devices within the array. State-space modeling of the hydrodynamic radiation forces enables fast and accurate prediction of the interacting response of multiple devices, including the effects of wave climate, control strategies, and network power flow. Case studies include the demonstration of the bidirectional interaction of the array and the network.

Estimating MLP generalisation ability without a test set using fast, approximate leave-one-out cross-validation

When using MLP regression models, some method for estimating the generalisation ability is required to identify badly over and underfitted models. If data is limited, it may be impossible to spare sufficient data for a test set, and leave-one-out crossvalidation may be considered as an alternative method for estimating generalisation ability. However, this method is very computer intensive, and we suggest a faster, approximate version suitable for use with the MLP. This approximate method is tested using an artificial test problem, and is then applied to a real modelling problem from the papermaking industry. It is shown that the basic method appears to work quite well, but that the approximation may be poor under certain conditions. These conditions and possible means of improving the approximation are discussed in some detail.

OPF Techniques for Real-Time Active Management of Distribution Networks

This paper presents a method for real-time active network management (ANM) control to maximize network-wide energy yield in constrained networks. Coordinated scheduling of renewable distributed generation (DG) and distribution network control assets can limit DG curtailment and significantly increase energy yield and economic performance of DG. Here, an optimal power flow approach has been developed for real-time online scheduling of network control settings to better integrate high levels of temporally and spatially variable DG from renewable energy resources. Results show that the real-time prescription of ANM control settings provides a feasible alternative to network reinforcement under the existing passive management philosophy.