摘要
规划配置制氢-季节性氢储能-混氢燃气轮机系统,可综合解决丰能季节富裕能源存储及其向枯能季节转移应用问题,保障新能源为主体的新型电力系统供电可靠性。考虑多能源荷不确定性及长时间尺度波动耦合特性,提出最小均差-熵权法及季节性分解法的随机规划场景建立方法,包括基于最小均差-熵权法的多能源荷典型年选择,基于季节性分解法的多能源荷长期趋势分量、季节性分量及随机分量的获取,并将随机不确定分量与典型年确定场景叠加,建立随机规划典型场景集。针对复杂耦合系统规划问题,提出两阶段随机规划策略,并据此建立丰能季“制氢-储氢”系统容量优化配置模型和枯能季混氢燃气轮机优化配置模型。算例仿真验证方法的有效性,配置该系统与新增火电机组相比具有低碳价值及经济可行性。
The programming and configuration of hydrogen production,seasonal hydrogen storage and mixed hydrogen-fueled gas turbine system can comprehensively solve the problems of energy storage in the abundant energy season and application in the missing energy season.It can guarantee the power supply reliability of new power system with new energy as the main body.Considering the uncertainty of multi-energy,load and the coupling characteristics of long time scale fluctuations,the minimum mean deviation-entropy weight method and seasonal decomposition method are proposed to establish scenarios of stochastic programming.The minimum mean deviation-entropy weight method is used to select a typical year for multi-energy load systems.The seasonal decomposition method is used to decompose multi-energy and load into long-term trend component,seasonal component and random component.Then,the random component is superimposed with the typical year determined scene to establish the typical scene set of stochastic programming.Aiming at the planning problem of complex coupled systems,a two-stage stochastic programming strategy is proposed.The optimal capacity configuration models of“hydrogen production-seasonal hydrogen storage”system in the abundant energy season and mixed hydrogen-fueled gas turbines in the missing energy season are established.Simulation results show that the proposed method is effective,and the configuration of this system has low carbon value and economic feasibility compared with added configuration of thermal power units.
作者
鲁明芳
李咸善
李飞
熊炜
李欣
LU Mingfang;LI Xianshan;LI Fei;XIONG Wei;LI Xin(Hubei Provincial Key Laboratory for Operation and Control of Cascaded Hydropower Station(China Three Gorges University),Yichang 443002,Hubei Province,China)
出处
《中国电机工程学报》
EI
CSCD
北大核心
2023年第18期6978-6991,共14页
Proceedings of the CSEE
基金
国家自然科学基金项目(52107107)
三峡大学学位论文培优基金项目(2021BSPY012)。
关键词
最小均差–熵权法
季节性分解法
混氢燃气轮机
两阶段随机规划
minimum mean deviation-entropy weight method
seasonal decomposition
mixed hydrogen-fueled gas turbine
two-stage stochastic programming