Scientific Research and Development

• Tuesday

  22 Oct

  Informatics Colloquium 22.10. Secure integration of demand side flexibility to power systems

  Informatics Colloquium 22.10. 2019, 14:00 lecture hall D2 Ing. Martin Střelec, Ph.D., NTIS ZČU Plzeň Ing. Ondřej Mamula, MBA, CIIRC ČVUT Praha Secure integration of demand side flexibility to power systems Abstract: The electricity power domain is facing unprecedented system changes initiated by increasing penetration of novel technologies (e.g. massive installation of renewables, energy storages at various levels) and market arrangements (e.g. market integration, new market entities), which increases the volatility in power system, which needs to be properly managed in order to keep system reliability. On the other hand, traditional resources for power network stabilization are decreasing due change of energy mix. Demand side flexibility stands for a promising mechanism for enhancement of power network stabilization. The contribution will introduce power system flexibility, where main focus will be put on the demand side. The talk will cover description of whole value chain of secure flexibility integration in the context of the SecureFlex project. Different aspects will be presented ranging from the flexibility harvesting on demand side to market product creation with emphasis on cost optimization and maintaining network security and power quality.

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• Tuesday

  29 Oct

  Informatics Colloquium 29.10. Scheduling of Mobile Robots

  Informatics Colloquium 29.10. 2019, 14:00 lecture hall D2 doc. Mgr. Hana Rudová, Ph.D., FI MU Scheduling of Mobile Robots Abstract: Flexible manufacturing systems consist of several automatic machines, material handling devices such as automated guided vehicles (AGVs) or mobile robots, and a central control computer. Mobile robots, as well as AGVs, can move around their working space to transport components among machines. Mobile robots can also execute various value-added tasks without human intervention, thanks to their manipulation arms. The main novelty of our work is that we allow the scheduling of such robot processing, which makes the problem more complex and computationally expensive. Our work encapsulates robot processing into a job shop scheduling problem with transportation resources. The talk will introduce this scheduling problem as well as various solution approaches for the general audience. We will discuss the exact and heuristic approaches we have proposed to solve this problem. The integer programming model was aimed to model the problem precisely. Heuristic approaches are represented by a hybrid genetic algorithm and adaptive large neighborhood search. Finally, we will present the latest constraint programming approach performing very well, even in contrast to heuristic approaches.

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