基于HOMER和SA-PSO算法的风光氢储系统的优化匹配

优化匹配是风光氢储系统在一定经济约束下安全可靠运行的关键和基础。以某通信基站为供电对象,以系统最小成本支出和最大负荷支撑为优化目标进行配置。首先利用HOMER模拟得到总净现成本最低的配置方案;然后将HOMER优化结果输出来初始化粒子群,以负荷缺电率为目标函数,采用基于轮盘赌输策略的模拟退火粒子群算法进行求解,得到兼具经济性和可靠性的最优配置组合,同时验证了风光氢储系统的优越性;最后依据风光资源不同将河北省分为四类典型地区,利用所提算法求取各个地区的系统最优化配置组合。结果表明,与其他地区相比,第一类地区能以最低成本的容量配置满足系统可靠性的要求。

Optimization Matching Analysis of Wind-Photovoltaic-Hydrogen-Storage System Based on HOMER and SA-PSO Algorithm

The optimal matching of wind-photovoltaic-hydrogen-storage system is the key and foundation for the safe and reliable operation of the system under certain economic constraints. In this study, a communication base station is used as the power supply object, and the system is configured with the minimum cost and maximum load support as the optimization target. Firstly, the configuration scheme with the lowest total net present cost is simulated by using HOMER. Then the HOMER optimization result is output to initialize the particle swarm, and the load-deficient rate is chosen as the objective function. The simulated annealing particle swarm optimization algorithm based on roulette betting strategy is used to solve the problem, and the optimal configuration with economy and reliability is obtained. At the same time, the superiority of wind-photovoltaic-hydrogen-storage system is verified. Finally, Hebei Province is divided into four typical areas according to different wind and solar energy resources. The proposed algorithm is used to obtain the optimal combination of systems in each region. The results show that compared with other regions, the first region can meet the requirements of system reliability with the lowest cost capacity combination.