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A key aspect to the future development of Smart Grids is the cooperation between multiple grid components. If this cooperation is to be included into grid simulations however, the limit is often reached when only one tool can be used for the simulations. This paper describes a framework for the simulation of power networks and their components including DIgSILENT/PowerFactory and MathWorks MATLAB/Simulink. A detailed model of a vanadium redox flow battery developed in MATLAB/Simulink is combined with a grid simulation performed in PowerFactory. The communication between the tools is realized using OPC. To show the possibilities with this framework a simulation of a real distribution grid in Austria with connected loads, photovoltaic power plants and storage devices was performed.

APPROACHNew controller concepts which are based on a state machine concept and constrained optimization are devised. In order to optimize the control action, tap changer and reactive and active power settings of the controllable decentralized energy resources are operated appropriately. OBJECTIVES• By controlling the voltage in a distribution network increasing the share of decentral ized energy resources (DER) feeding into the network RESULTSFirst simulation results show the valideness of the approach. The controller strategies are a good compromise between simplicity and performance. A guide line for field implementation is given.Session 4 -Paper 0712

Modern heterogeneous computing architectures, which couple multi-core CPUs with discrete many-core GPUs (or other specialized hardware accelerators), enable unprecedented peak performance and energy efficiency levels. Unfortunately, though, developing applications that can take full advantage of the potential of heterogeneous systems is a notoriously hard task. This work takes a step towards reducing the complexity of programming heterogeneous systems by introducing the abstraction of Heterogeneous Transactional Memory (HeTM). HeTM provides programmers with the illusion of a single memory region, shared among the CPUs and the (discrete) GPU(s) of a heterogeneous system, with support for atomic transactions. Besides introducing the abstract semantics and programming model of HeTM, we present the design and evaluation of a concrete implementation of the proposed abstraction, which we named Speculative HeTM (SHeTM). SHeTM makes use of a novel design that leverages on speculative techniques and aims at hiding the inherently large communication latency between CPUs and discrete GPUs and at minimizing inter-device synchronization overhead. SHeTM is based on a modular and extensible design that allows for easily integrating alternative TM implementations on the CPU's and GPU's sides, which allows the flexibility to adopt, on either side, the TM implementation (e.g., in hardware or software) that best fits the applications' workload and the architectural characteristics of the processing unit. We demonstrate the efficiency of the SHeTM via an extensive quantitative study based both on synthetic benchmarks and on a porting of a popular object caching system.

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