Strategic DSS for robust energy production and storage investments and operation planning involving variable renewable energy sources: A two-stage stochastic optimization model s with stopping time and rolling horizon

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Ermoliev, Y., Komendantova, N. ORCID: https://orcid.org/0000-0003-2568-6179, & Ermolieva, T. (2022). Strategic DSS for robust energy production and storage investments and operation planning involving variable renewable energy sources: A two-stage stochastic optimization model s with stopping time and rolling horizon. In: Mathematical modeling, optimization and information technologies", international scientific conference. pp. 57-59 CEP USM. ISBN 978-9975-159-03-6

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Abstract

The paper presents a strategic Decision Support System (DSS) for energy-efficient technology investments planning, including energy production and storage capacities expansion and operation policies. The DSS enables the analysis of robust decisions against inherent uncertainties and risks, in particular, systemic risks due to introduction of stochastic renewable energy sources, price volatility, demands uncertainties, weather variability, resource availability. The DSS is based on a new two-stage, dynamic stochastic optimization model with rolling random time horizons bounded by stopping time moments.

Item Type:	Book Section
Research Programs:	Advancing Systems Analysis (ASA) Advancing Systems Analysis (ASA) > Cooperation and Transformative Governance (CAT) Advancing Systems Analysis (ASA) > Exploratory Modeling of Human-natural Systems (EM) Biodiversity and Natural Resources (BNR) Biodiversity and Natural Resources (BNR) > Integrated Biosphere Futures (IBF)
Related URLs:	Publication - https://pure.iiasa.ac.at/id/eprint/17675/
Depositing User:	Luke Kirwan
Date Deposited:	28 Nov 2022 11:28
Last Modified:	28 Nov 2022 11:50
URI:	https://pure.iiasa.ac.at/18428

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