基于电量电价弹性矩阵的风力发电与AA-CAES系统容量优化

Capacity Optimization of Wind Power Generated and AACAES Systems Based on Electricity Price Elasticity Matrix

考虑到系统运行经济性的影响,对基于需求侧响应(DR)的风力发电与先进绝热压缩空气储能(AA-CAES)系统协调优化问题进行了研究。首先,基于分时电价构建了用户多时段需求侧响应模型,并根据AA-CAES系统的压缩、膨胀功率建模。其次,以系统的固定成本、设备维护成本、购电成本、售电成本以及调峰成本共同构成系统总成本,采用动态规划法对AA-CAES系统的压缩、膨胀功率进行优化,求得系统总成本最小的风力发电与AA-CAES系统最优容量配置。最后,通过仿真验证所提优化方法的可行性。

Considering the impact of system operation economics,the problem of coordinated optimization of wind power generated and advanced adiabatic compressed air energy storage(AA-CAES)systems based on demand response is analyzed.Firstly,the time-of-use power price model of user’s multi-time period is constructed based on the demand response;the compression and expansion power is modeled for AA-CAES.Secondly,the fixed cost,equipment maintenance cost,power purchase cost and sale cost,and peaking cost together constitute the total cost of the system,and the compression/expansion power of AA-CAES is optimized by dynamic programming method to find the optimal wind allocation capacity of wind power generated and AA-CAES systems with the minimum total cost.Finally,the feasibility of the proposed optimization method is verified by simulation.