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Abstract-We describe a decision-support tool that optimizes the energy services of residential end-users by scheduling the operation of available distributed energy resources. We discuss the application of the tool to a 'smart' home case study and the solution to the resulting highly-dimensional scheduling problem. We then use the optimal schedules formulated by the tool to determine the value of the forecasted information used when the schedules are created. This is achieved by computing the additional costs avoided by the end-users due to the accuracy of the forecasts. We also demonstrate how to use the tool to derive robust schedules when the end-users are not certain on the magnitude of solar insolation, magnitude of energy service demands, availability of a plug-in hybrid vehicle as storage, and status of Critical Peak Pricing. The robust schedule is derived by maximizing the expected net benefit when the schedule is applied to all likely scenario outcomes.

This paper presents an analysis of the potential impact of integrating photovoltaics (PV) into the Western Australian electricity networks. It uses real‐time load and Australian Bureau of Meteorology climate data to assess PV's ability to reduce peak generation requirements, defer network augmentation, reduce line losses and reduce the cost of conventional supply in the Western Australian electricity networks and regional grids. It then identifies existing market opportunities for PV in Western Australia (WA), examines whether these capture the identified benefits and discusses strategies for capturing the system benefits provided by PV. Copyright © 2009 John Wiley & Sons, Ltd.

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