为进一步提高生物质能(biomass energy,BIO)的利用效率,提出一种综合需求响应(integrated demand re-sponse,IDR)激励下考虑光热生物质能利用(solar thermal biomass utilization,STBU)的源荷协调优化调度策略.首先,在"源"侧构建含STBU的综合能源系统(integrated energy system,IES)耦合供能模型,并将STBU耦合电转气系统,从而实现STBU装置掺氢燃烧高效利用;其次,在"荷"侧同时引入价格型和替代型需求响应,通过"源荷"协调优化,提高IES低碳性能;然后,在IES中引入储液式碳捕集系统和阶梯型碳税机制提升系统低碳经济效益,以系统总收入最大建立目标函数,并建立考虑IES多重不确定性的模糊机会规划约束模型;最后,选取北方某地区实际数据验证模型的可行性与有效性,并分析多重不确定性对IES运行成本的影响.结果表明该模型具有良好的经济性与低碳性,不确定性的上升会提高系统与外部电网的交互成本.
Source-load coordinated optimal scheduling strategy considering solar thermal biomass utilization under integrated demand response incentives
To further improve the efficiency of biomass energy utilization,a source-load coordinated optimization scheduling strategy considering solar thermal biomass utilization(STBU)under comprehensive demand response incentives is proposed.Firstly,on the source side,an integrated energy system(IES)coupling energy supply model with STBU is constructed,and the STBU is coupled with a power-to-gas system to achieve efficient hydrogen-blended combustion utilization of the STBU device.Secondly,on the load side,both price-based and substitution-based demand responses are introduced to improve the low-carbon performance of the IES through source-load coordinated optimization.Then,a liquid storage carbon capture system and a tiered carbon tax mechanism are introduced in the IES to enhance the system's low-carbon economic benefits,establishing an objective function to maximize the system's total revenue.On this basis,a fuzzy chance-constrained programming model considering multiple uncertainties of the IES is established.Finally,actual data from a northern region is selected to verify the feasibility and effectiveness of the model,and the impact of multiple uncertainties on the operating costs of the IES is analyzed.The results show that the model has good economic and low-carbon performance.An increase in uncertainty raises the interaction costs between the system and the external power grid.
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