Day-ahead economic optimization scheduling model for electricity-hydrogen collaboration market

被引：7

作者：

Wang, Qinghan ^{[1
]}

Wang, Yanbo ^{[1
]}

Chen, Zhe ^{[1
]}

机构：

[1] AAU Energy, Pontoppidanstaede 111, DK-9220 Aalborg, Denmark

来源：

ENERGY REPORTS | 2022年 / 8卷

关键词：

Economic optimization; Regional electro-hydrogen integrated energy system (REHIES); Electro-hydrogen collaboration; Industrial energy market; Insensitive electrical load (ISEL); SYSTEM; TECHNOLOGIES; MICROGRIDS; FRAMEWORK; FUEL;

D O I：

10.1016/j.egyr.2022.08.128

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

This paper presents a day-ahead economic optimization scheduling model for Regional Electricity-Hydrogen Integrated Energy System (REHIES) with high penetration of renewable energies. The electricity-hydrogen coupling devices are modelled with energy storage units and Insensitive Electrical Load (ISEL). The proposed objective function is able to capture the maximum benefits for REHIES in terms of economic benefits and can be summarized as a Quadratic Programming (QP) problem. The simulation verification is performed by MATLAB/CPLEX solver. The simulation results show that the proposed optimization model adapts the market requirement by contributing flexible collaboration between electricity and hydrogen. Also, the translational properties of ISEL can implement higher economic profits and more effective utilization of renewable energy. (C) 2022 The Author(s). Published by Elsevier Ltd.

引用

页码：1320 / 1327

页数：8

共 50 条

[1] Day-ahead Scheduling in a Local Electricity Market
de la Nieta, Agustin A. Sanchez
Gibescu, Madeleine
2019 2ND INTERNATIONAL CONFERENCE ON SMART ENERGY SYSTEMS AND TECHNOLOGIES (SEST 2019), 2019,
[2] Day-Ahead Model of the Liberalized Electricity Market in Slovakia
Janicek, Frantisek
Sedivy, Juraj
Sulc, Igor
PROCEEDINGS OF THE 13TH INTERNATIONAL SCIENTIFIC CONFERENCE ELECTRIC POWER ENGINEERING 2012, VOLS 1 AND 2, 2012, : 263 - 268
[3] European day-ahead electricity market clearing model
Chatzigiannis, Dimitris I.
Dourbois, Grigoris A.
Biskas, Pandelis N.
Bakirtzis, Anastasios G.
ELECTRIC POWER SYSTEMS RESEARCH, 2016, 140 : 225 - 239
[4] A Price-Based Demand Response Scheduling Model in Day-Ahead Electricity Market
Duan, Qinwei
2016 IEEE POWER AND ENERGY SOCIETY GENERAL MEETING (PESGM), 2016,
[5] Hydrothermal self-scheduling problem in a day-ahead electricity market
Bisanovic, Smajo
Hajro, Mensur
Dlakic, Muris
ELECTRIC POWER SYSTEMS RESEARCH, 2008, 78 (09) : 1579 - 1596
[6] Integrated scheduling of generation and demand shifting in day-ahead electricity market
Duan, Qinwei
Liu, Jianing
Zeng, Kaiwen
Zhong, Jin
Guo, Yufeng
INTERNATIONAL TRANSACTIONS ON ELECTRICAL ENERGY SYSTEMS, 2019, 29 (07):
[7] Energy Bidding in a Day-Ahead Electricity Market Using Fuzzy Optimization
Ijaz, Muhammad
Sahito, Muhammad Faraz
Al-Awami, Ali T.
2015 IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL TECHNOLOGY (ICIT), 2015, : 2388 - 2393
[8] Day-Ahead Electricity Price Forecasting and Scheduling of Energy Storage in LMP Market
Alam, Musharraf
IEEE ACCESS, 2019, 7 : 165627 - 165634
[9] Price forecasting in the day-ahead electricity market
Monroy, JJR
Kita, H
Tanaka, E
Hasegawa, J
UPEC 2004: 39th International Universitities Power Engineering Conference, Vols 1-3, Conference Proceedings, 2005, : 1303 - 1307
[10] Stochastic Operation Scheduling Model for a Swedish Prosumer with PV and BESS in Nordic Day-Ahead Electricity Market
Agathokleous, Christos
Le Anh Tuan
Steen, David
2019 IEEE MILAN POWERTECH, 2019,

← 1 2 3 4 5 →