Optimal Sizing and Pricing of Grid-Connected Renewable Power to Ammonia Systems Considering the Limited Flexibility of Ammonia Synthesis

被引:8
|
作者
Yu, Zhipeng [1 ]
Lin, Jin [1 ,2 ]
Liu, Feng [1 ]
Li, Jiarong [1 ]
Zhao, Yuxuan [3 ]
Song, Yonghua [4 ]
Song, Yanhua [5 ]
Zhang, Xinzhen [2 ]
机构
[1] Tsinghua Univ, Dept Elect Engn, State Key Lab Control & Simulat Power Syst & Gene, Beijing 100087, Peoples R China
[2] Tsinghua Univ, Sichuan Energy Internet Reasearch Inst, Chengdu 610213, Peoples R China
[3] South China Univ Technol, Sch Elect Power Engn, Guangzhou 510641, Peoples R China
[4] Univ Macau, Dept Elect & Comp Engn, Taipa 999078, Macao, Peoples R China
[5] Shenzhen Edo Renewable Co Ltd, Shenzhen 518067, Peoples R China
基金
中国国家自然科学基金; 国家重点研发计划; 中国博士后科学基金;
关键词
Information gap decision theory (IGDT); limited flexibility of ammonia synthesis; multi-investor economic (MIE) model; renewable power to ammonia (RePtA); two-stage decomposed sizing and pricing; ELECTROLYSIS SYSTEM; ENERGY; WIND; HYDROGEN; DESIGN; NETWORK; WATER; MODEL; PV;
D O I
10.1109/TPWRS.2023.3279130
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Converting renewable energy into ammonia has been recognized as a promising way to realize "green hydrogen substitution" in the chemical industry. However, renewable power to ammonia (RePtA) requires an essential investment in facilities to provide a buffer against the strong volatility of renewable energy and the limited flexibility of ammonia synthesis, which involves the three main stakeholders, namely, power, hydrogen, and ammonia. Therefore, the sizing and pricing of RePtA play a core role in balancing the interest demands of investors. This article proposes an optimal sizing and pricing method for grid-connected RePtA systems planning. First, power to ammonia (P2A) is modeled as a flexible load, especially considering the limited flexibility of ammonia synthesis, which has been verified using real dynamic regulation data. Second, the multi-investor economic (MIE) model is established considering both external and internal trading modes. Then, a two-stage decomposed sizing and pricing method is proposed to solve the problem caused by the strong coupling of planning, operation, and trading. The information gap decision theory (IGDT) method is utilized to handle the uncertainty of renewable generation. Finally, real data from a real-life system in Inner Mongolia are utilized to verify the proposed approach. The results show that the system proposed has an internal rate of return (IRR) of 8.55%, which indicates the practical feasibility of the proposed planning method.
引用
收藏
页码:3631 / 3648
页数:18
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