FUZZY INFERENCE BASED STABILITY OPTIMIZATION FOR IOT DATA CENTERS DC MICROGRIDS: IMPACT OF CONSTANT POWER LOADS ON SMART GRID COMMUNICATION OVER THE POWERLINE | Zendy

Emmanuel Oyekanlu | Zendy

Open Access

FUZZY INFERENCE BASED STABILITY OPTIMIZATION FOR IOT DATA CENTERS DC MICROGRIDS: IMPACT OF CONSTANT POWER LOADS ON SMART GRID COMMUNICATION OVER THE POWERLINE

Author(s) -

Emmanuel Oyekanlu

Publication year - 2019

Publication title -

journal of energy - energija

Language(s) - English

Resource type - Journals

eISSN - 1849-0751

pISSN - 0013-7448

DOI - 10.37798/20196811

Subject(s) - microgrid , smart grid , computer science , control theory (sociology) , distortion (music) , matlab , power (physics) , stability (learning theory) , channel (broadcasting) , engineering , electronic engineering , electrical engineering , renewable energy , telecommunications , bandwidth (computing) , amplifier , physics , control (management) , quantum mechanics , artificial intelligence , machine learning , operating system

Direct Current (dc) microgrids due to their efficiency and energy savings are being deployed to provide power for servers in Internet of Things (IoT) data centers, in more electric aircrafts (MEA), electric ships and in rail systems round the word. In this paper, Takagi-Sugeno fuzzy inference method is used to establish a Lyapunov stability candidate for a 380 V ring bus dc microgrid modeled with Matlab. To determine suitability of using powerline communication (PLC) to monitor stability condition on the 380 V dc microgrid, impact of distortion caused by microgrid constant power loads (CPL) on signals transmitted over the dc microgrid PLC channel is examined. It is shown in this paper that while Lyapunov asymptotic stability is maintained on the dc bus, increasing CPL on the microgrid causes the dc microgrid PLC channel to experience growing signal distortion.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research