Optimal Virtual Power Plant Management for Multiple Grid Support Services

Alberto Bolzoni; Alessandra Parisio; Rebecca ToddAndrew J. Forsyth

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Optimal Virtual Power Plant Management for Multiple Grid Support Services

机译：Optimal Virtual Power Plant Management for Multiple Grid Support Services

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摘要

A hierarchical control architecture is proposed for the optimal day-ahead commitment of multiple grid support services within a virtual power plant (VPP). The day-ahead optimization considers pricing and cost data to determine the commitment schedule, and a robust Model Predictive Control (MPC) approach is included to minimize the unbalance fees during real-time operations. The multi-level control has been demonstrated experimentally using a hybrid test system, where the VPP is formed of a commercial 240 kW, 180 kWh battery energy storage system (BESS), while the additional assets are modelled in a real-time digital simulator (RTDS). Two case studies are analyzed: the first assumes a purely-electrical VPP, with a single connection to the public network; the second involves a multi-energy approach, with the introduction of a gas-supplied Combined Heat and Power unit (CHP). Both winter and summer price scenarios are tested. The results show the superiority of the multiple-service operation compared to providing a single grid support service. For example, the net revenue is increased by 30% (winter) and 7% (summer) when compared to just frequency regulation, and by +99% (winter) and 30% (summer) when compared to only energy arbitrage.

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来源
《IEEE Transactions on Energy Conversion》 |2021年第2期|1479-1490|共12页
作者
Alberto Bolzoni; Alessandra Parisio; Rebecca ToddAndrew J. Forsyth;
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作者单位

Department of Electrical and Electronic Engineering, The University of Manchester, Manchester, M13, U.K.;

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收录信息美国《科学引文索引》(SCI);美国《工程索引》(EI);
原文格式 PDF
正文语种英语
中图分类电工技术;
关键词
Frequency control; Cogeneration; Buildings; Real-time systems; Optimization; Batteries; Thermal management; Model predictive control; multiple service provision; virtual power plants; power system dynamics;

Optimal Virtual Power Plant Management for Multiple Grid Support Services

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