Real-Time Self-Dispatch of a Remote Wind-Storage Integrated Power Plant Without Predictions: Explicit Policy and Performance Guarantee

This paper investigates real-time self-dispatch of a remote wind-storage integrated power plant connecting to the main grid via a transmission line with a limited capacity. Because prediction is a complicated task and inevitably incurs errors, it is a better choice to make real-time decisions based...

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Autores principales:	Zhongjie Guo, Wei Wei, Laijun Chen, Yue Chen, Shengwei Mei
Formato:	article
Lenguaje:	EN
Publicado:	IEEE 2021
Materias:	Energy storage Lyapunov optimization multi-parametric programming online dispatch prediction-free wind-storage plant Distribution or transmission of electric power TK3001-3521 Production of electric energy or power. Powerplants. Central stations TK1001-1841
Acceso en línea:	https://doaj.org/article/5b7fb669b352438c9aa2e417a0e76280
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spelling	oai:doaj.org-article:5b7fb669b352438c9aa2e417a0e762802021-11-10T00:09:11ZReal-Time Self-Dispatch of a Remote Wind-Storage Integrated Power Plant Without Predictions: Explicit Policy and Performance Guarantee2687-791010.1109/OAJPE.2021.3089583https://doaj.org/article/5b7fb669b352438c9aa2e417a0e762802021-01-01T00:00:00Zhttps://ieeexplore.ieee.org/document/9455369/https://doaj.org/toc/2687-7910This paper investigates real-time self-dispatch of a remote wind-storage integrated power plant connecting to the main grid via a transmission line with a limited capacity. Because prediction is a complicated task and inevitably incurs errors, it is a better choice to make real-time decisions based on the information observed in the current time slot without predictions on the uncertain electricity price and wind generation in the future. To this end, the operation problem is formulated under the Lyapunov optimization framework to maximize the long-term time-average revenue of the wind-storage plant. Inter-temporal storage dynamics are represented by a virtual queue which is mean rate stable. An online method for real-time dispatch is proposed based on Lyapunov drift algorithm via a drift-minus-revenue function. The upper bound of such a function, which does not depend on future uncertainty, is minimized in each time slot. Explicit dispatch policies are obtained through multi-parametric programming technique so that no optimization problem is solved online. It is proved that the online algorithm can maintain all the constraints across the entire horizon and the expected optimality gap compared to the deterministic offline optimum with perfect uncertainty information is inversely proportional to the weight coefficient in the drift-minus-revenue function. Numerical tests using real wind and electricity price data validate the effectiveness and performance of the proposed method.Zhongjie GuoWei WeiLaijun ChenYue ChenShengwei MeiIEEEarticleEnergy storageLyapunov optimizationmulti-parametric programmingonline dispatchprediction-freewind-storage plantDistribution or transmission of electric powerTK3001-3521Production of electric energy or power. Powerplants. Central stationsTK1001-1841ENIEEE Open Access Journal of Power and Energy, Vol 8, Pp 484-496 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Energy storage Lyapunov optimization multi-parametric programming online dispatch prediction-free wind-storage plant Distribution or transmission of electric power TK3001-3521 Production of electric energy or power. Powerplants. Central stations TK1001-1841
spellingShingle	Energy storage Lyapunov optimization multi-parametric programming online dispatch prediction-free wind-storage plant Distribution or transmission of electric power TK3001-3521 Production of electric energy or power. Powerplants. Central stations TK1001-1841 Zhongjie Guo Wei Wei Laijun Chen Yue Chen Shengwei Mei Real-Time Self-Dispatch of a Remote Wind-Storage Integrated Power Plant Without Predictions: Explicit Policy and Performance Guarantee
description	This paper investigates real-time self-dispatch of a remote wind-storage integrated power plant connecting to the main grid via a transmission line with a limited capacity. Because prediction is a complicated task and inevitably incurs errors, it is a better choice to make real-time decisions based on the information observed in the current time slot without predictions on the uncertain electricity price and wind generation in the future. To this end, the operation problem is formulated under the Lyapunov optimization framework to maximize the long-term time-average revenue of the wind-storage plant. Inter-temporal storage dynamics are represented by a virtual queue which is mean rate stable. An online method for real-time dispatch is proposed based on Lyapunov drift algorithm via a drift-minus-revenue function. The upper bound of such a function, which does not depend on future uncertainty, is minimized in each time slot. Explicit dispatch policies are obtained through multi-parametric programming technique so that no optimization problem is solved online. It is proved that the online algorithm can maintain all the constraints across the entire horizon and the expected optimality gap compared to the deterministic offline optimum with perfect uncertainty information is inversely proportional to the weight coefficient in the drift-minus-revenue function. Numerical tests using real wind and electricity price data validate the effectiveness and performance of the proposed method.
format	article
author	Zhongjie Guo Wei Wei Laijun Chen Yue Chen Shengwei Mei
author_facet	Zhongjie Guo Wei Wei Laijun Chen Yue Chen Shengwei Mei
author_sort	Zhongjie Guo
title	Real-Time Self-Dispatch of a Remote Wind-Storage Integrated Power Plant Without Predictions: Explicit Policy and Performance Guarantee
title_short	Real-Time Self-Dispatch of a Remote Wind-Storage Integrated Power Plant Without Predictions: Explicit Policy and Performance Guarantee
title_full	Real-Time Self-Dispatch of a Remote Wind-Storage Integrated Power Plant Without Predictions: Explicit Policy and Performance Guarantee
title_fullStr	Real-Time Self-Dispatch of a Remote Wind-Storage Integrated Power Plant Without Predictions: Explicit Policy and Performance Guarantee
title_full_unstemmed	Real-Time Self-Dispatch of a Remote Wind-Storage Integrated Power Plant Without Predictions: Explicit Policy and Performance Guarantee
title_sort	real-time self-dispatch of a remote wind-storage integrated power plant without predictions: explicit policy and performance guarantee
publisher	IEEE
publishDate	2021
url	https://doaj.org/article/5b7fb669b352438c9aa2e417a0e76280
work_keys_str_mv	AT zhongjieguo realtimeselfdispatchofaremotewindstorageintegratedpowerplantwithoutpredictionsexplicitpolicyandperformanceguarantee AT weiwei realtimeselfdispatchofaremotewindstorageintegratedpowerplantwithoutpredictionsexplicitpolicyandperformanceguarantee AT laijunchen realtimeselfdispatchofaremotewindstorageintegratedpowerplantwithoutpredictionsexplicitpolicyandperformanceguarantee AT yuechen realtimeselfdispatchofaremotewindstorageintegratedpowerplantwithoutpredictionsexplicitpolicyandperformanceguarantee AT shengweimei realtimeselfdispatchofaremotewindstorageintegratedpowerplantwithoutpredictionsexplicitpolicyandperformanceguarantee
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Real-Time Self-Dispatch of a Remote Wind-Storage Integrated Power Plant Without Predictions: Explicit Policy and Performance Guarantee

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