计及风—负荷不确定性的风—氢微网容量优化  

Optimal Capacity Allocation of Wind-Hydrogen Microgrid Taking into Account Wind-Load Uncertainty

作　　者：石存金 希望·阿不都瓦依提 吕海鹏 孟令鹏 SHI Cun-jin;XIWANG·Abuduwayiti;LV Hai-peng;MENG Ling-peng(Department of Electrical Engineering,Xinjiang University,Urumqi Xinjiang 830047,China)

机构地区：[1]新疆大学电气工程学院,新疆乌鲁木齐830047

出　　处：《计算机仿真》2023年第3期89-95,共7页Computer Simulation

基　　金：国家自然科学基金(51367016);新疆重大科技专项项目(2016A02004-4)。

摘　　要：为解决独立微网系统容量配置的可靠性与经济性问题,提出一种基于多场景技术的风-氢微网系统容量优化配置方法。由氢储系统模型、风机模型构建独立风-氢耦合微网系统模型,考虑风电、负荷不确定性的影响,采用基于拉丁超立方抽样的场景生成法和K-mediods聚类法得到若干不同权重的典型风电、负荷场景,以系统月综合投资运行费用最小为优化目标,依据制定的运行策略及系统约束条件,利用二进制自适应粒子群算法求解系统的最优容量配置。根据某地区历史数据进行仿真对比分析,结果验证了经济优化模型的合理性和有效性,且表明基于场景法的配置结果在保证经济性的同时具有较强的鲁棒性。To solve the problem of reliability and economy of capacity configuration of independent microgrid system,a capacity optimization configuration method of wind-hydrogen microgrid system based on multi-scenario technology is proposed.An independent wind-hydrogen coupled microgrid system model was constructed from the hydrogen storage system model and wind turbine model.Considering the influence of wind power and load uncertainty,and generate several typical wind power and load scenarios with different weights were obtained using the scenario method of Latin hypercube sampling and the K-mediods clustering method.With the optimization objective of minimizing the monthly comprehensive investment and operation cost of the system,the optimal capacity configuration of the system was solved by using the binary adaptive particle swarm algorithm based on the formulated operation strategy and system constraints.Simulation and comparison analysis based on historical data of a region,the results verify the rationality and effectiveness of the economic optimization model and show that the configuration results based on the multiscenario method have strong robustness while ensuring the economy.

关 键 词：风-氢微网 容量配置 多场景 经济性 鲁棒性 

分 类 号：TK82[动力工程及工程热物理—流体机械及工程]