采用改进细菌觅食算法的风／光／储混合微电网电源优化配置

风能和太阳能具有随机性和波动性的特点，由分布式电源、储能装置、负荷组成的微电网协调运行与控制十分复杂，对孤岛运行的微电网合理地配置电源以提高供电可靠性、经济性是微电网规划建设的一个首要问题。将改进的细菌觅食算法（bacterial foraging algorithm，BFA）应用到解决风／光／储混合的全年孤岛运行的微电网电源优化配置问题中，建立了计及设备投资成本、运行和维护成本、燃料成本、环保折算成本的微电网电源优化配置模型，以年风速、气温、光照强度作为输入，根据不同的用户供电可靠性和备选电源要求，得到微电网电源的类型及其容量的最优方案，结果表明改进的细菌觅食算法具有全局最优搜索能力强、寻优速度快的特点。该方法可以全面评估各种分布式电源的经济性，根据微电网建设地点的气象条件、投资成本等降低微电网电源的冗余投资，满足用户定制的多样化可靠性要求。

Optimal Sizing of Hybrid Solar-wind Distributed Generation in an Islanded Microgrid Using Improved Bacterial Foraging Algorithm

Wind and solar energy have the characteristics of randomness and waviness.As the coordination among distributed generation(DG),energy storages and loads is very complicated,proper combination of DG in an islanded microgrid is a primary problem for its reliability and economy.This paper used the bacterial foraging algorithm(BFA) to solve the optimal sizing problem of hybrid solar-wind DG in microgrid.The economic model of optimal sizing was built with the objective that takes annual costs of equipment,operat...