考虑先进绝热压缩空气储能的风力发电系统成本/供电可靠性评估

风电的随机性会使得电力系统受到影响,先进绝热压缩空气储能(AA-CAES)技术具有大容量、低成本、高效率的特性,可作为平衡风力发电随机性的储能系统。为此,首先,考虑风力发电的随机性与AA-CAES电站的运行特性,构建AA-CAES电站运行与风力发电系统发电功率模型,采用蒙特卡洛仿真法对风力发电机的运行情况进行仿真;然后,将用户作为市场元素,计算可中断供电负荷的赔偿费用,并以系统综合成本与断电赔偿费用之和的总费用最小为目标,采用动态规划法优化AA-CAES电站的压缩/膨胀功率,建立含AACAES的风力发电系统的成本/可靠性评估模型;最后,通过仿真验证所提规划方法并分析AA-CAES电站容量对系统经济性及供电可靠性产生的影响。结果表明,当系统容量规模增加时,存在一个最优容量配置使得系统的总费用最低。

Cost/power supply reliability assessment of wind power generation system considering advanced adiabatic compressed air energy storage

The randomness of wind power will affect the power system. AA-CAES(Advanced Adiabatic Compressed Air Energy Storage) technology has the characteristics of large capacity, low cost and high efficiency, which can be used as an energy storage system to balance the randomness of wind power generation. Therefore, firstly, considering the randomness of wind power generation and the operation characteristics of AA-CAES station, the operation model of AA-CAES station and the power generation model of wind power generation system are built, and the operation conditions of wind turbine generators are simulated by Monte Carlo simulation method. Then, the compensation costs for interruptible loads are calculated by taking the customers as the market element. The compression/expansion power of AA-CAES station is optimized by dynamic programming method with the minimum total cost of system composite cost and interruption compensation cost as the objective and then the cost/reliability assessment model of wind power generation system with AA-CAES is established. Finally, the proposed planning method is verified by simulation and the influence of AA-CAES station capacity on the system economy and power supply reliability is analyzed. The results show that when the system capacity scale increases, there is an optimal capacity configuration that minimizes the total cost of the system.