热电联产虚拟电厂两阶段分布鲁棒优化调度

Two-Stage Distributed Robust Optimal Dispatching for a Combined Heat and Power Virtual Power Plant

热电联产虚拟电厂(combined heat and power virtual power plant,CHP-VPP)聚合了各类电热出力单元,可兼顾风光出力不确定性、动态电价、用户热舒适度等影响,实现整体出力的优化调度。提出了两阶段分布鲁棒优化调度方法,第一阶段考虑计划调度,旨在保证CHP-VPP的收益最大;第二阶段基于矩不确定分布鲁棒方法,构建风光出力的不确定性模糊集,引入用户热舒适度HOMIE模型,降低电热净负荷波动幅度,实现对CHP-VPP内部各单元实时出力的优化调整。针对IEEE14节点模型进行算例研究,分析了不确定参数、不同优化方法以及动态电价对调度结果的影响,结果表明:所提出的两阶段调度方法能够有效进行电热调度,实现系统的收益最大化和波动最小化。

Combined heat and power virtual power plant(CHP-VPP)aggregates various electrical and thermal output units and takes into account the uncertainty of wind and solar output,dynamic electricity prices,thermal comfort of users,and other influences to achieve optimal dispatching of overall output.A two-stage distributed robust optimal dispatching method is proposed.In the first stage,planned dispatching is considered,so as to maximize the benefit of CHP-VPP.In the second stage,a fuzzy set of wind and solar output uncertainties is constructed based on the distributed robust method of moment uncertainty,and the thermal comfort model of users,namely HOMIE,is introduced to reduce the net load fluctuation of the electricity and heat,so as to optimize and adjust the real-time output of the units in CHP-VPP.A case study is carried out for the IEEE14 node model,and the effects of uncertain parameters,different optimization methods,and dynamic electricity prices on the dispatching results are analyzed.The results show that the proposed method can effectively dispatch electricity and heat,maximize the benefit of the system,and minimize fluctuations.