自主调峰下风火荷储容量优化配置方法OA

New power systems are facing a contradiction between the rapid growth of renewable energy installation and the increasingly insufficient peak-shaving capacity.The coordinated allocation issue of renewable energy generation and peak-shaving resources needs to be solved at the planning stage,meeting the demands of autonomous peak-shaving.A method for characterizing the grid-connection boundary conditions for autonomous peak-shaving is proposed.Based on the yearly sequential operation simulation,a system peak-shaving demand assessment and a verification model for autonomous peak-shaving principle of newly connected units are constructed.Furthermore,an optimal capacity allocation model for wind-thermal-load-storage under the principle of autonomous peak-shaving is proposed.The bundling allocation scheme is achieved through iteratively solving production optimization problem of flexible loads,the optimization of wind-thermal-storage capacity,and the verification of autonomous peak-shaving principle.Analysis shows that optimal load-production sequencing strategies are superior to equal-interval production methods,thereby maximizing the ability to match fluctuations in wind power.The proposed planning scheme neither increases the system peak-shaving demand nor influences the consumption of original renewable energy generation.Multiple newly connected units planned in parallel can still satisfy the autonomous peak-shaving principle when being connected to the system simultaneously.The proposed method can realize sustainable planning of renewable energy generation.