Analysis of Timing Requirements for Data Aggregation and Control in Smart Grids: Smart Grid Networks

Kemal, Mohammed Seifu

4. term

Networks and Distributed Systems, Master

2014

2014-06-03

78

Intelligente elnet (smart grids) er afhængige af effektiv kommunikation, så komponenter kan udveksle den nødvendige information. I dette speciale undersøger vi, hvordan kommunikationsydelse og smart grid‑kontrolenheder påvirker den samlede drift, med særligt fokus på timing og krav til netværket. Vi har opbygget en netværkssimulation i OMNeT++ (et værktøj til simulering af kommunikationsnet) for at analysere trafikken i et smart grid og anvendt de indsamlede data til at træne en læringsalgoritme til ressourceallokering i Matlab (et beregnings- og programmeringsmiljø). Metoden giver en kvantitativ vurdering af, hvilke timingkrav der bør stilles til både kommunikationsnetværket og kontrolenhederne, under hensyntagen til systemets begrænsninger.

Smart grids depend on effective communication so that components can exchange the information they need. This thesis examines how communication performance and smart grid controllers influence overall operation, with a focus on timing and network requirements. We built a network simulation in OMNeT++ (a tool for simulating communication networks) to study smart grid traffic, and used the collected data to train a resource allocation learning algorithm in Matlab (a computing and programming environment). The method provides a quantitative way to choose timing requirements for both the communication network and the controllers, while accounting for the system’s constraints.

[This abstract was generated with the help of AI]

Smart Grid Communication , ; Traffic analysis ; Timing Requirment ; Network Simulation , ; Gaussian Mixture Model ; OMNeT++ ; Density Estimation

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