考虑储能寿命损耗的楼宇风光储系统储能容量优化

Energy storage capacity optimization of wind-PV-energy storage systems for buildings considering battery life loss

在“双碳”目标驱动下,构建含风电、光伏等新能源和储能的智慧楼宇逐渐成为促进分布式新能源消纳的重要途径。基于风、光、荷的互补性可合理配置储能,利用储能“低充高放”的能力可调节楼宇净负荷,有利于提升含楼宇风光储系统的运行经济性。因此,提出一种考虑电池储能寿命损耗的楼宇风光储系统储能容量优化模型。首先,重点考虑电池储能放电深度和循环次数对储能寿命的影响,构建储能日损耗成本模型;其次,以总投资和运维成本最低为目标,建立楼宇风光储系统储能容量优化模型,并满足其在典型日运行的各类约束;然后,针对所建优化模型中由于储能寿命损耗计算带来的非线性项,先后采用分段线性化、二进制扩展方法进行线性化处理,将所建模型最终转换为一个混合整数线性规划问题。基于江苏地区某一楼宇开展算例分析,验证了本文所建计及寿命损耗的储能容量优化模型的有效性。

Driven by the"dual carbon"goal,the development of smart buildings incorporating wind power,PV power,and other new energy sources alongside energy storage has become an important approach to promoting the consumption of distributed renewable energy.Reasonable configuration of energy storage can be decided based on the complementarity of wind power,PV power and load,and net load of buildings can be regulated by"charing the battery during off-peak hours and discharging the battery during peak hours",thereby enhancing the operational economy of buildings equipped with wind‒PV‒storage systems.A capacity optimization model for the energy storage device in smart buildings with wind‒PV‒energy storage systems was proposed,considering the battery life loss.Focusing on the impact of depth of discharge and cycle time on battery service life,a daily loss cost model for the energy storage device is established.To minimize total investment and operation and maintenance costs,an capacity optimization model for the battery of the building with wind‒PV‒energy storage systems was established,meeting various constraints for operation on typical days.To address the nonlinear terms in life loss model solving,piecewise linearization and binary expansion methods were successively employed,converting the model into a mixed-integer linear programming problem.A case study was conducted on a commercial building in Jiangsu to validate the effectiveness of this storage capacity optimization model considering life loss.