Bi-Level Strategic Bidding Model of Gas-fired Units in Interdependent Electricity and Natural Gas Markets

被引:22
|
作者
Jiang, Tao [1 ]
Yuan, Chenguang [2 ]
Bai, Linquan [3 ]
Chowdhury, Badrul [4 ]
Zhang, Rufeng [1 ]
Li, Xue [1 ]
机构
[1] Northeast Elect Power Univ, Dept Elect Engn, Jilin 132012, Jilin, Peoples R China
[2] State Grid Shangqiu Elect Power Supply Co, Shangqiu 476000, Henan, Peoples R China
[3] Univ North Carolina Charlotte, Dept Syst Engn & Engn Management, Charlotte, NC 28223 USA
[4] North Carolina Charlotte, Energy Prod & Infrastruct Ctr, Charlotte, NC 28223 USA
基金
中国国家自然科学基金; 英国工程与自然科学研究理事会;
关键词
Natural gas; Mathematical model; Electricity supply industry; Pipelines; Optimization; Power transmission lines; Power grids; Bi-level optimization; electricity market; natural gas market; strategic bidding; POWER;
D O I
10.1109/TSTE.2021.3110864
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The increasing penetration of renewables tends to demand more flexibility from gas-fired units to maintain system reliability, which significantly strengthens the interdependency between the electricity and the natural gas markets. To this end, intra-day gas market trading may be necessary, and a completely deregulated natural gas market may emerge in the future. As the interdependency between the electricity and the natural gas markets keeps growing, this paper proposes a bi-level strategic bidding model to study the market behaviors of the gas-fired unit, which simultaneously acts as a strategic power producer in the electricity market and a strategic gas buyer in the natural gas market. The upper-level problem maximizes the profit of the gas-fired unit, and the two lower-level problems respectively model the market-clearings of the electricity and the natural gas markets. The upper and lower levels interact through locational marginal prices of electricity and natural gas. The proposed bi-level optimization model is converted to a mathematical problem with equilibrium constraint (MPEC). Then it is transformed into a mixed-integer second-order-cone programming (MISOCP) for efficient calculation. Numerical results demonstrate the proposed methodology is capable of mimicking the market-clearing process and strategic behaviors of the gas-fired unit in the interdependent energy markets effectively.
引用
收藏
页码:328 / 340
页数:13
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