A Dynamic Analysis of Energy Storage With Renewable and Diesel Generation Using Volterra Equations

被引：62

作者：

Sidorov, Denis ^{[1
,2
]}

Muftahov, Ildar ^{[1
,3
]}

Tomin, Nikita ^{[1
]}

Karamov, Dmitriy ^{[1
]}

Panasetsky, Daniil ^{[1
]}

Dreglea, Aliona ^{[1
,2
]}

Liu, Fang ^{[4
]}

Foley, Aoife ^{[5
]}

机构：

[1] Russian Acad Sci, Siberian Branch, Melentiev Energy Syst Inst, Irkutsk 664033, Russia

[2] Irkutsk Natl Res Tech Univ, Baikal Sch BRICS, Irkutsk 664074, Russia

[3] JSC Russian Railways, Main Comp Ctr, Irkutsk 664005, Russia

[4] Cent South Univ, Sch Automat, Changsha 410083, Peoples R China

[5] Queens Univ Belfast, Sch Mech & Aerosp Engn, Belfast BT9 5AH, Antrim, North Ireland

来源：

IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS | 2020年 / 16卷 / 05期

基金：

中国国家自然科学基金;

关键词：

Batteries; Mathematical model; Load modeling; Integral equations; Biological system modeling; Renewable energy sources; Deep Q-network (DQN); gated recurrent units (GRU); inverse problem; isolated power system; load forecasting; regularization; state of charge (SoC); state of health (SoH); storage control; Volterra integral equation (VIE); STAND-ALONE SYSTEMS; INTEGRAL-EQUATIONS; 1ST KIND; OPTIMIZATION; SIMULATION; PREDICTION; BATTERIES; LIFETIME; DESIGN; MODEL;

D O I：

10.1109/TII.2019.2932453

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Energy storage systems will play a key role in the power system of the 21st century considering the large penetrations of variable renewable energy, growth in transport electrification, and decentralization of heating loads. Therefore, reliable real-time methods to optimize energy storage, demand response, and generation are vital for power system operations. This article presents a concise review of battery energy storage and an example of battery modeling for renewable energy applications and details an adaptive approach to solve this load leveling problem with storage. A dynamic evolutionary model based on the first-kind Volterra integral equation is used in both cases. A direct regularized numerical method is employed to find the least-cost dispatch of the battery in terms of the integral equation solution. Validation on real data shows that the proposed evolutionary Volterra model effectively generalizes a conventional discrete integral model taking into account both the state of health and the availability of generation/storage.

引用

页码：3451 / 3459

页数：9

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