计及天然气压力能发电的虚拟电厂优化调度

Optimal Scheduling of Virtual Power Plants Considering Natural Gas Pressure Energy Power Generation

  • 摘要: 针对天然气压力能发电这一新型分布式能源发电的特点和调度问题,提出考虑新型天然气压力能发电参与的新型虚拟电厂方案。首先,对天然气压力能发电技术进行分析,基于压力㶲与温度㶲两方面构造天然气压力能联合循环发电方案;其次,在虚拟电厂源侧将其与其他分布式能源进行联合建模,包含含氢的储能系统以及需求侧负荷模型;在此基础上考虑虚拟电厂中的确定性约束与源荷两侧的不确定性,建立在最恶劣情况下计及天然气压力能发电的虚拟电厂日运行成本最小的两阶段鲁棒优化调度模型,并通过列和约束生成算法求解。实际算例结果显示,集成直接膨胀压力能发电最小日运行成本降低了47.99%,进一步采用联合循环发电,最小日运行成本降低了56.37%,具有良好的经济性,可以验证模型的可行性。

     

    Abstract: To address the characteristic and schedule issues of the natural gas pressure energy (NGPE) generation, a new type of distributed energy, a new virtual power plant (VPP) solution incorporating NGPE generation is proposed. Firstly, the NGPE generation technology is analyzed, and a joint model of the NGPE combined cycle power generation scheme is developed based on both pressure exergy and temperature exergy. Secondly, it is further modeled together with other distributed energy resources on the source side of VPP, including a hydrogen-containing energy storage system and a demand-side load model. On this basis, considering the deterministic constraints in the VPP and the uncertainties on both the generation and load sides, a two-stage robust optimal scheduling model is established for the NGPE-generation-integrated VPP, which operates at minimum daily cost under the worst-case scenario. The column and constraint generation algorithm is used to solve the model. The results from a practical test case show that the minimum daily operating cost is reduced by 47.99% due to the integration of direct expansion NGPE generation. Further adoption of combined-cycle power generation lowers the minimum daily operating cost by 56.37%. The results demonstrate strong economic performance and confirm the feasibility of the model.

     

/

返回文章
返回