Day-Ahead market model based coordinated multiple energy management in energy hubs

被引：21

作者：

Gu, Song ^{[1
]}

Rao, Chaoping ^{[2
]}

Yang, Sida ^{[3
]}

Liu, Zhichao ^{[1
]}

Rehman, Ateekh Ur ^{[4
]}

Mohamed, Mohamed A. ^{[5
]}

机构：

[1] State Grid Tianjin Elect Power Co Ltd, Tianjin 300000, Peoples R China

[2] Wuhan Qingchuan Univ, Coll Mech & Elect Engn, Wuhan 430204, Peoples R China

[3] State Grid Anhui Elect Power Co Ltd, Hefei 350116, Anhui, Peoples R China

[4] King Saud Univ, Coll Engn, Dept Ind Engn, POB 800, Riyadh 11421, Saudi Arabia

[5] Minia Univ, Fac Engn, Elect Engn Dept, Al Minya 61519, Egypt

来源：

SOLAR ENERGY | 2023年 / 262卷

关键词：

Day-ahead market; Coordinated energy management; Energy hub; Combined heat and power; Maximize profit; SMART GRIDS; STRATEGY; OPERATION; STORAGE;

D O I：

10.1016/j.solener.2023.111877

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 case-driven stochastic scheme for coordinated hubs energy management (EM) in a day-ahead market (DAM). In this scheme, electric, gas, and heat systems are connected through the consideration of gas and electricity for hub inputs, and electricity and heat for hub outputs. The paper considers combined heat and power (CHP) and energy storage systems, boilers, parking lots for renewable energy resources (RERs), and electric vehicles (EVs). In order to maximize the profit of hub in the DAM with consideration of linear systems and hub restrictions, a linear objective function has been included in the linear coordinated EM (CEM) problem. The scheme also considers the uncertainties in loads, DAM power prices, and RER output power. The grey wolf optimization algorithm is used to solve the proposed optimization problem. The efficacy and reliability of the proposed hubs' EM is examined in a simulation system based on the scheme. Lastly, outcomes indicate that the hub CEM is efficient across DAMs.

引用

页数：13

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