陈大宇, 张粒子, 王立国. 储能调频系统控制策略与投资收益评估研究[J]. 现代电力, 2016, 33(1): 80-86.
引用本文: 陈大宇, 张粒子, 王立国. 储能调频系统控制策略与投资收益评估研究[J]. 现代电力, 2016, 33(1): 80-86.
CHEN Dayu, ZHANG Lizi, WANG Liguo. Control Strategy of Energy Storage System for Frequency Regulation and Evaluation of Investment Income[J]. Modern Electric Power, 2016, 33(1): 80-86.
Citation: CHEN Dayu, ZHANG Lizi, WANG Liguo. Control Strategy of Energy Storage System for Frequency Regulation and Evaluation of Investment Income[J]. Modern Electric Power, 2016, 33(1): 80-86.

储能调频系统控制策略与投资收益评估研究

Control Strategy of Energy Storage System for Frequency Regulation and Evaluation of Investment Income

  • 摘要: 本文以华北区域AGC补偿机制为基础,提出了电储能系统响应电网AGC指令的优化控制模型,模型以最大化电储能系统AGC运行的净收益为目标,考虑了电储能系统寿命损耗成本以及AGC补偿收益,并应用粒子群(PSO)算法求解最大化收益的控制策略。在算例分析中,基于电网实际下发的AGC指令,应用本文模型对锂离子电池储能系统的控制策略进行时序仿真,即首先对每个AGC指令周期优化储能系统的控制策略,然后计算电储能调频服务在整个仿真周期净收益,最后对储能调频系统的投资经济性进行评估。

     

    Abstract: An optimal control strategy of electric energy storage system for responding AGC control signal is proposed based on AGC compensation mechanism of Huabei Area in the paper. The objective of optimization model is to maximize the net AGC revenue, and capacity degradation cost of storage system due to frequent cycling during responding AGC is modeled. AGC compensation based on ancillary service compensation policy for Huabei region is formulated in the model as well, and PSO algorithm is applied for solving the optimization problem to provide control mode of power output for energy storage. In the case study, a chronological simulation of output control for a Lithium Ion battery storage system is performed by using a series of actual AGC control signal, in which the control strategy of energy storage system is optimized for each AGC control cycle, and total net AGC service revenue during the simulation period is calculated. In the end, the investment income of energy storage system for frequency regulation is evaluated.

     

/

返回文章
返回