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Energy management systems for the operation of distributed energy resources, distribution storage devices, and responsive loads will be embedded in distribution management systems (DMSs) as advanced functions that rely on accurate input data and fast communication signals. For a proper DMS design, the impact of the state estimation uncertainties and of the communication system delays should be evaluated. The paper presents an integrated software package for the cyber-physical simulation of DMS taking into account the accuracy of state estimation and measurements. The effectiveness of a wireless Wi-Max communication system has been tested on the rural Italian representative network produced by the research project ATLANTIDE. Results proved the need of cosimulation packages in modern distribution systems. [ABSTRACT FROM PUBLISHER]

It is difficult to estimate how much distributed generation (DG) capacity will be connected to distribution systems in the coming years; however, it is certain that increasing penetration levels require robust tools that help assess the capabilities and requirements of the networks in order to produce the best planning and control strategies. The work of this Task Force is focused on the numerous strategies and methods that have been developed in recent years to address DG integration and planning. This paper contains a critical review of the work in this field. Although there have been numerous publications in this area, widespread implementation of the methods has not taken place. The barriers to implementation of the advanced techniques are outlined, highlighting why network operators have been slow to pick up on the research to date. Furthermore, key challenges ahead which remain to be tackled are also described, many of which have come into clear focus with the current drive towards smarter distribution networks. [ABSTRACT FROM PUBLISHER]

Along with increasing presence of renewable energy in the distribution network, active network planning approach is of utmost interest for distribution system operators to harness the maximum benefits from the resources. However, it has been a challenge for the decision maker to choose the optimal planning option considering the multiple conflicting criteria. In this paper, a systematic and automatized approach for project selection based on Multi-Criteria Analysis is proposed for assessing a large set of planning alternatives. A case study has been done for a typical rural distribution network, a Pareto front of planning alternatives obtained by means of a multi-objective optimisation is analysed. Each alternative involves the optimal siting and sizing of storage units along with traditional network upgrading solutions. An automatized pairwise comparison procedure within the Analytic Hierarchy Process is proposed for rejecting subjectivity. The promising analysis illustrates the ‘best’ project selection considering nine criteria for storage system deployment to provide flexibility to the distribution network. The proposed approach aims at identifying the planning alternative that best satisfies the stakeholders’ expectation considering the multiplicity of decision makers’ points of view. [ABSTRACT FROM AUTHOR]

Highlights: [•] Monte Carlo simulation tool for reliability evaluation of the future smart distribution networks. [•] Availability models of power system elements and renewable generation. [•] Meteorological model integrated in a pseudo sequential Monte Carlo simulation. [•] Performances of ICT wireless communication networks. [•] The results of the paper confirms that wireless communication networks maybe used for the future distribution networks without degrade the reliability and quality of service. [ABSTRACT FROM AUTHOR]