双碳背景下微电网的优化配置研究

微电网是有效利用本地风光等可再生资源、解决分布式电源并网难题的一种有效方案，微电网的优化配置直接决定其经济性和供电可靠性。考虑到风速、光照强度具有较强随机性以及负荷波动性对微电网的影响，基于多状态系统理论，对每月的典型日各个时刻风光出力和负荷进行多状态建模。并以经济环保为目标，引入改进的非劣排序遗传算法对多目标优化配置模型进行求解，并通过华东某省微电网工程算例验证基于多状态系统理论的优化配置模型和方法的合理性和有效性。

Optimal allocation of microgrid under the background of carbonpeaking and neutralization

Microgrid is an effective solution to solve the problem of grid connection of distributed power generation by effectively using renewable resources such as local scenery. The configuration of microgrid directly determines its economy and power supply reliability. Considering the influence of wind speed and light intensity with strong randomness and load fluctuation on the microgrid,based on the theory of multi-state system, the multi-state modeling of wind power output and load at each time of typical day in each month is carried out. Aiming at economic and environmental protection, an improved non inferior sorting genetic algorithm is introduced to solve the multi-objective optimal allocation model. The rationality and effectiveness of the optimal allocation model based on the multi-state system theory are verified by an example of integrated energy system engineering in a province of East China.