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The future “smart grids” will feature significantly higher numbers of various distributed generation and storage (DG&S) systems, as well as a wide-scale implementation of different demand-side management (DSM) functionalities. In existing literature, related analysis mostly concentrates on the operation, control and planning aspects of “smart grids”, while their impact on, and potential for improving system reliability performance is less researched. The work presented in this paper offers a new methodology for assessing reliability performance of power systems with fully employed DSM and DG&S functionalities, allowing to quantify in the most realistic manner standard set of indices reported annually to the Regulators. The methodology extends conventional reliability assessment procedures to include equivalent network models, actual load profiles and empirical fault probability distributions in the analysis, allowing to make a clear distinction between the short and long supply interruptions. Different DSM and DG&S scenarios are considered, in order to validate the proposed methodology and demonstrate its accuracy and applicability. [ABSTRACT FROM PUBLISHER]

This paper, which is the second part of a two-part series, considers the influence of microgeneration technologies on the overall network performance and quality of supply of low-voltage residential customers in future “smart grids”. The paper uses the network models and demand-side management (DSM) scenarios developed in the Part 1 paper to further assess changes in active/reactive power flows, system losses, voltage profiles and harmonic emissions due to the combined effects of implementing microgeneration, energy storage and DSM. [ABSTRACT FROM PUBLISHER]

This paper, which is part one of a two-part series, analyses the influence of demand-side management (DSM) on the overall performance of distribution networks, particularly with respect to the quality of supply of low-voltage residential customers. The paper uses detailed network configurations and load models to assess changes in active/reactive power flows, system losses, voltage profiles and propagation of harmonics due to changes in the load mix as a result of DSM actions. The Part 2 paper will consider the effect of microgeneration technologies on further improvement/ deterioration of network performance. [ABSTRACT FROM PUBLISHER]