1. (1.输变电装备技术全国重点实验室(重庆大学),重庆,400044
2. 重庆师范大学物理与电子工程学院(重庆师范大学),重庆,400044
3. 电力系统及发电设备控制和仿真国家重点实验室(清华大学),北京,100084
4. 西安热工研究院有限公司,陕西,西安,710054
纸质出版:2025
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周念成, 徐镇宇, 池源, 等. 计及快速变负荷下煤耗特性及分摊成本的多耦合系统优化调度[J]. 电力系统保护与控制, 2025,(23).
ZHOU Niancheng, XU Zhenyu, CHI Yuan, et al. 计及快速变负荷下煤耗特性及分摊成本的多耦合系统优化调度[J]. Power System Protection and Control, 2025, (23).
周念成, 徐镇宇, 池源, 等. 计及快速变负荷下煤耗特性及分摊成本的多耦合系统优化调度[J]. 电力系统保护与控制, 2025,(23). DOI: 10.19783/j.cnki.pspc.250022.
ZHOU Niancheng, XU Zhenyu, CHI Yuan, et al. 计及快速变负荷下煤耗特性及分摊成本的多耦合系统优化调度[J]. Power System Protection and Control, 2025, (23). DOI: 10.19783/j.cnki.pspc.250022.
在新能源发电机组容量飞速增长的背景下,将火电机组与新能源发电机组在同一并网点下作为耦合系统整体向外发电,可有效提升新型电力系统的运行可靠性及经济性。在耦合系统内部经灵活性改造的火电机组进行快速变负荷的场景下,为了更真实地反映多耦合系统协同运行能力,提出一种多耦合系统多阶段优化运行调度方法。首先,根据经灵活性改造后的火电机组爬坡运行特性及实测数据,推导并验证快速变负荷下的煤耗解析式。在此基础上,以多耦合系统的日综合发电收益为目标,考虑不同时段的调峰收益动态分摊成本,提出三阶段经济运行优化调度方法,用以实现求解过程中非线性目标及约束的松弛简化。最后,通过某局域多耦合系统进行仿真验证,结果表明所提方法可描述出快速变负荷下多耦合系统的煤耗变化差异,获得协同性与经济性更优的调度方案。
With the rapid growth of new energy generation capacity
integrating thermal power units and new energy generation units at the same grid connection point as a coupled system can effectively improve the operational reliability and economic efficiency of the new power system. To more accurately reflect the collaborative operational capability of multi-coupled systems when flexibility-modified thermal power units undergo fast load changes
a multi-stage optimal dispatch method for multi-coupled systems is proposed. First
based on the ramping characteristics and field-measured data of thermal units after flexibility retrofits
an analytical expression for coal consumption under fast load changes is derived and validated. On this basis
a three-stage economic optimal dispatch method is proposed with the objective of maximizing the daily integrated generation revenue of the multi-coupled system
while incorporating dynamic cost allocation of peak-shaving benefits across time periods. This approach enables relaxation and simplification of nonlinear objectives and constraints during the solving process. Finally
simulation verifications are conducted on a local multi-coupled system
and the results show that the proposed method can accurately characterize coal consumption variations under fast load changes and achieve dispatch solutions with improved synergy and economic performance.
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