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Erschienen in:
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2015 | OriginalPaper | Buchkapitel

2. Centralized Online Algorithm for Optimal Energy Distribution in Connected Microgrid

verfasst von : Yu Wang, Shiwen Mao, R. Mark Nelms

Erschienen in: Online Algorithms for Optimal Energy Distribution in Microgrids

Verlag: Springer International Publishing

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Abstract

The two-way energy and information flows in SG environment, together with the smart devices, bring new perspectives to energy management and demand response in MGs. This chapter investigates an online algorithm for electricity energy distribution in a connected MG. We first present a formulation that captures the key design factors such as user’s utility and cost, grid load smoothing, dynamic pricing, and energy provisioning cost. The problem is shown to be convex and can be solved with an offline algorithm if future user and grid-related information are known a priori. We then develop an online algorithm that only requires past and present information about users and the grid, and prove that the online solution is asymptotically optimal. The proposed energy distribution framework and the online algorithm are quite general, suitable for a wide range of utility, cost, and pricing functions. It is evaluated with trace-driven simulations and shown to outperform a benchmark scheme.

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Vorheriges Kapitel Introduction
Nächstes Kapitel Distributed Online Algorithm for Optimal Energy Distribution in Connected Microgrids
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Metadaten
Titel
Centralized Online Algorithm for Optimal Energy Distribution in Connected Microgrid
verfasst von
Yu Wang
Shiwen Mao
R. Mark Nelms
Copyright-Jahr
2015
Buch
Online Algorithms for Optimal Energy Distribution in Microgrids

Print ISBN: 978-3-319-17132-6

Electronic ISBN: 978-3-319-17133-3

Copyright-Jahr: 2015

DOI
https://doi.org/10.1007/978-3-319-17133-3_2