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目前新能源渗透率不断提高，电力系统灵活性需求急剧增加。重型燃气轮机具有启动速度快、调节能力强的特性，可有效弥补新能源的波动性。然而由于天然气价格高，独立运行的重型燃气轮机运行经济性较差，装机意愿较低，因此亟需探索重型燃气轮机的盈利模式。首先，构建重型燃气轮机、新能源和储能设备的运行约束模型及考虑折旧、燃料等成本的目标函数，建立重型燃气轮机参与日前市场和实时市场的电力市场运行框架，对重型燃气轮机单独参与电能量与辅助服务市场，以及重型燃气轮机与新能源等设备组成虚拟电厂参与市场这2种运行模式进行研究；然后，采用一种改进的Shapley值法进行利润分配，采用混合整数线性规划进行建模和模型求解；最后，以现行电力市场规则以及某型号重型燃气轮机为算例进行经济性分析。结果表明，重型燃气轮机只有在严厉的偏差惩罚机制下才有盈利空间。
Abstract：At present,the demand for the flexibility of a power system increases significantly with the growing penetration of renewable energy. The heavy-duty gas turbines can effectively compensate the fluctuations of renewable energy owing to their fast start-up and strong regulation capabilities. However,due to the high price of natural gas,the operating economy of standalone heavy-duty gas turbines is poor,leading to low installation willingness. Therefore,it is necessary to study the profit modes of heavy-duty gas turbines. First,the operating constraint models of heavy-duty gas turbines,renewable energy and energy storage devices and the objective functions considering costs such as depreciation and fuel are constructed,and an operating framework for electricity market is established,in which the heavy-duty gas turbines participate in day-ahead and realtime markets. Then,two operating modes are studied,i.e.,the heavy-duty gas turbine participating in power generation and ancillary services markets independently or participating in the market by forming virtual power plants with the integration of renewable energy and other devices,and an improved Shapley value method is used to perform profit allocation. This model is formulated and solved using mixed-integer linear programming,and an economic analysis is conducted based on the existing electricity market rules and an example of one type of heavy-duty gas turbine. Results shows that the profits of the heavy-duty gas turbine are only available under the mechanism of severe deviation penalty.
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基本信息:
DOI：10.19635/j.cnki.csu-epsa.001520
中图分类号:F426.4;F426.61;F406.7
引用信息:
[1]聂岩,王彦,李玮,等.市场环境下重型燃气轮机盈利模式分析[J].电力系统及其自动化学报,2025,37(08):49-59.DOI:10.19635/j.cnki.csu-epsa.001520.
基金信息:
山东省自然科学基金资助项目(ZR20210E146); 山东电力工程咨询院资助项目(37-2023-21-K0016)
2024-06-04
2024
2024-08-22
2025-08-19
2025
2
2024-09-13
2024-09-13
2024-09-13