Boosting energy markets in grid with a focus on battery storage, including flexible loads and electric vehicles, via a two-stage optimization framework

被引:0
|
作者
Hai, Tao [1 ,2 ,3 ,4 ]
Shami, Hayder Oleiwi [5 ,6 ]
El-Sharkawy, Mohamed R. [7 ]
Agarwal, Diwakar [8 ]
Ahmed, Mohsen [9 ]
Mohammed, Adil Ismaeel [10 ]
Hussein, Abbas Hameed Abdul [11 ]
Hasan, Dheyaa Flayih [12 ]
Mushtaq, Hiba [13 ]
Singh, Narinderjit Singh Sawaran
机构
[1] Nanchang Inst Sci & Technol, Sch Informat & Artificial Intelligence, Nanchang 330108, Peoples R China
[2] Qiannan Normal Univ Nationalities, Sch Comp & Informat, Duyun 558000, Guizhou, Peoples R China
[3] INTI Int Univ, Fac Data Sci & Informat Technol, Nilai 71800, Malaysia
[4] Ajman Univ, Artificial Intelligence Res Ctr AIRC, POB 346, Ajman, U Arab Emirates
[5] Al Amarah Univ Coll, Dept Accounting, Amarah, Maysan, Iraq
[6] Univ Misan, Coll Adm & Econ, Dept Econ, Amarah, Iraq
[7] Al Amarah Univ Coll, Engn Tech Mech Power Dept, Amarah, Maysan, Iraq
[8] GLA Univ, Inst Engn & Technol, Dept Elect & Commun Engn, Mathura, India
[9] Imam Abdulrahman Bin Faisal Univ, POB 1982, Dammam 31441, Eastern Provinc, Saudi Arabia
[10] Alnoor Univ, Hlth & Med Tech Coll, Dept Anesthesia Tech, Mosul, Iraq
[11] Ahl Al Bayt Univ, Kerbala, Iraq
[12] Natl Univ Sci & Technol, Coll Hlth & Med Technol, Dhi Qar 64001, Iraq
[13] Gilgamesh Ahliya Univ, Baghdad, Iraq
关键词
competitive markets; ancillary services; transmission and distribution networks; spinning reserve capacity; optimization simulation; SYSTEM; MICROGRIDS; WASTE; MANAGEMENT;
D O I
10.1093/ijlct/ctae216
中图分类号
O414.1 [热力学];
学科分类号
摘要
This paper introduces a detailed dual-level structure designed for the efficient organization of energy and supportive service markets throughout transport and delivery systems. The framework delineates the organization of energy markets at the first level and supportive services at the second. Traditional thermal units serve as providers for the spinning reserve market, while rapid response generators, energy storage systems, electric vehicles, and demand response aggregators supply capacity adjustments. Simulations applied to a 30-bus transmission network linked to four 8-bus distribution networks show that integrating distribution network resources in the spinning reserve market reduces reliance on thermal units by 22%, decreasing daily operational costs by approximately 15%. Furthermore, including demand response aggregators, storage systems, and electric vehicles in market regulation improves voltage profiles by 7%. The framework is constructed as a linear optimization model and simulated using the CPLEX solver in GAMS software.
引用
收藏
页码:2604 / 2618
页数:15
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