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How to Manage the Complexity of the Grid? Read chapter Read first chapter

2018 | OriginalPaper | Chapter

Risk-Aware Demand Management of Aggregators Participating in Energy Programs with Utilities

Authors : William D. Heavlin, Ana Radovanović, Varun Gupta, Seungil You

Published in: Energy Markets and Responsive Grids

Publisher: Springer New York

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Abstract

Electric utilities typically offer demand-side management (DSM) programs in order to reduce peak demand and to shift supply risks. These same programs engender a new business model, that of the energy aggregators. Energy aggregators seek to harvest the DSM incentives by strategically deferring the loads under their control. Examples of deferrable loads are electric vehicles (EVs) and heating, ventilation, and air-conditioning (HVAC) systems. To choose appropriately from a utility’s menu of programs, the aggregator must forecast both temperature and load and should also estimate the uncertainties associated with these forecasts. Further, the aggregator can work to mitigate these uncertainties by managing flexible loads under their control.
We propose a formulation that unifies the various kinds of deferrable loads and explicitly balances the trade-off between user discomfort and monetary costs. Our main contribution comes from incorporating the uncertainty of temperature and load forecasts into the optimal choice of DSM program selection.

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previous chapter Disaggregating Load by Type from Distribution System Measurements in Real Time
next chapter Toward Resilience-Aware Resource Allocation and Dispatch in Electricity Distribution Networks
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Metadata
Title
Risk-Aware Demand Management of Aggregators Participating in Energy Programs with Utilities
Authors
William D. Heavlin
Ana Radovanović
Varun Gupta
Seungil You
Copyright Year
2018
Publisher
Springer New York
Book
Energy Markets and Responsive Grids

Print ISBN: 978-1-4939-7821-2

Electronic ISBN: 978-1-4939-7822-9

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-1-4939-7822-9_18