Optimal energy storing and selling in continuous time stochastic multi-battery setting

We consider the problem of optimal energy storing and dispatching for a grid-connected energy producer with battery energy storage system (BESS). We suggests an optimal operating algorithm that helps to increase the income given limited storage capacity and unpredictable fluctuations of the producti...

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Main Author: Dokuchaev, Nikolai
Format: Journal Article
Published: Cornell University Library 2015
Online Access:http://hdl.handle.net/20.500.11937/39254
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author Dokuchaev, Nikolai
author_facet Dokuchaev, Nikolai
author_sort Dokuchaev, Nikolai
building Curtin Institutional Repository
collection Online Access
description We consider the problem of optimal energy storing and dispatching for a grid-connected energy producer with battery energy storage system (BESS). We suggests an optimal operating algorithm that helps to increase the income given limited storage capacity and unpredictable fluctuations of the production rate and selling prices. In addition, the operating algorithm takes into account preferable regimes for charging and discharging the batteries, this can help to prolong the battery life. The problem is solved as a special stochastic control problem in a domain where the state processes have to remains in a domain but are allowed to run on the domain boundary. An equation for the optimal value function is derived in continuous time setting. Numerical methods based on duality and pathwise optimization for estimation of the optimal solution are suggested.
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format Journal Article
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institution Curtin University Malaysia
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publishDate 2015
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spelling curtin-20.500.11937-392542017-01-30T14:32:16Z Optimal energy storing and selling in continuous time stochastic multi-battery setting Dokuchaev, Nikolai We consider the problem of optimal energy storing and dispatching for a grid-connected energy producer with battery energy storage system (BESS). We suggests an optimal operating algorithm that helps to increase the income given limited storage capacity and unpredictable fluctuations of the production rate and selling prices. In addition, the operating algorithm takes into account preferable regimes for charging and discharging the batteries, this can help to prolong the battery life. The problem is solved as a special stochastic control problem in a domain where the state processes have to remains in a domain but are allowed to run on the domain boundary. An equation for the optimal value function is derived in continuous time setting. Numerical methods based on duality and pathwise optimization for estimation of the optimal solution are suggested. 2015 Journal Article http://hdl.handle.net/20.500.11937/39254 Cornell University Library restricted
spellingShingle Dokuchaev, Nikolai
Optimal energy storing and selling in continuous time stochastic multi-battery setting
title Optimal energy storing and selling in continuous time stochastic multi-battery setting
title_full Optimal energy storing and selling in continuous time stochastic multi-battery setting
title_fullStr Optimal energy storing and selling in continuous time stochastic multi-battery setting
title_full_unstemmed Optimal energy storing and selling in continuous time stochastic multi-battery setting
title_short Optimal energy storing and selling in continuous time stochastic multi-battery setting
title_sort optimal energy storing and selling in continuous time stochastic multi-battery setting
url http://hdl.handle.net/20.500.11937/39254