考虑储能寿命的风-光-火-储打捆外送系统容量优化配置

风光和火电打捆外送是新能源消纳的重要方式，如何确定其容量比成为难题。储能调节灵活，可以平抑新能源出力不确定性造成的影响，但频繁充放电会对电池储能的寿命造成影响。考虑储能的放电深度和循环次数建立了电池寿命量化模型，提出了计及储能寿命的风光火储打捆外送系统双层容量优化模型。上层以系统总成本最小为目标，下层以典型日调度成本最小为目标。利用机会约束处理新能源出力不确定性对系统备用容量的影响，基于序列运算将概率性机会约束转换为确定性约束，将问题转换为易于求解的混合整数线性规划问题。算例结果表明，配置储能可以有效降低系统成本。同时考虑储能寿命可以在保证经济性的前提下制定更合理的调度策略，延长储能使用寿命，验证了模型的有效性。

Optimal capacity of a wind-solar-thermo-storage-bundled power transmission system considering battery life

Combined transmission of wind, solar and thermal power is an important type of new energy consumption. How to determine the capacity ratio is a difficult problem. The flexibility of energy storage regulation can smooth out the impact caused by the uncertainty of new energy output. However, frequent charging and discharging will reduce the service life of battery storage. A quantitative model of battery life is established based on the discharge depth and number of cycles of energy storage. A two-layer capacity optimization model of the wind-solar-thermo-storage-bundled power transmission system is established. The upper layer aims at minimizing the total cost of the system, and the lower layer aims at minimizing the typical daily scheduling cost. The influence of the uncertainty of new energy output on the system reserve capacity is treated by a chance constraint. The chance constraint is converted into a deterministic constraint by using sequence operation. The problem is converted into a mixed integer linear programming problem which is easy to solve. The results show that the energy storage configuration can effectively reduce system cost. At the same time, considering the energy storage service life, a more reasonable scheduling strategy can be formulated to help ensure economy, and the service life of the energy storage can be extended. This verifies the effectiveness of the model.