摘要
含碳捕集系统的虚拟电厂(VPP)为提升能源效率、实现“双碳”目标提供了一种新路径,同时灵活协调VPP系统内多重不确定性是实现系统低碳运行的关键前提.提出一种在多重不确定性环境下考虑阶梯型碳交易的VPP低碳经济调度模型.对碳捕集系统和需求响应进行建模,并在优化调度模型中引入碳交易机制,构建阶梯型碳交易成本模型,对系统碳排放量进行制约.对VPP内多种不确定因素进行建模,包括风力发电、光伏、负荷、电动汽车,建立考虑机会约束的VPP低碳经济调度模型.运用可调鲁棒优化处理电动汽车的不确定性,并基于序列运算理论,将含机会约束的不确定模型转化为混合整数线性规划模型.采用数字优化技术CPLEX求解,在实际VPP算例中验证了所提模型的有效性.
Virtual power plant(VPP)with a carbon capture system provides a new path to improve energy efficiency and achieve the target of carbon peaking and carbon neutrality.At the same time,flexible coordination of multiple uncertainties in the VPP system is a key premise to realize low-carbon operation of the system.A low-carbon economic dispatch model of VPP considering ladder-type carbon trading in multiple uncertainties is proposed.The carbon capture system and demand response are modeled,and a carbon trading mechanism is introduced into the optimal dispatch model to build a ladder-type carbon trading cost model to restrict system carbon emissions.A variety of uncertain factors in VPP is modeled,including wind power generation,photovoltaic,load and electric vehicle,and a low carbon economic dispatch model of VPP is established considering opportunity constraints.The uncertainty of electric vehicles is dealt with by using adjustable robust optimization.Based on the sequence operation theory,the uncertain model with opportunity constraints is transformed into a mixed integer linear programming model.The decision optimization technology CPLEX solution is used to verify the effectiveness of the proposed model in an actual VPP example.
作者
彭思佳
邢海军
成明洋
PENG Sijia;XING Haijun;CHENG Mingyang(College of Electrical Engineering,Shanghai University of Electric Power,Shanghai 200090,China)
出处
《上海交通大学学报》
EI
CAS
CSCD
北大核心
2023年第12期1571-1582,共12页
Journal of Shanghai Jiaotong University
关键词
虚拟电厂
碳捕集
机会约束规划
阶梯型碳交易
低碳经济调度
可调鲁棒优化
virtual power plant(VPP)
carbon capture
opportunity constrained programming
stepped carbon trading
low carbon economic dispatch
tunable Robust optimization
