基于改进化学反应优化算法的风/氢/燃并网系统功率平滑经济性评估

研究风/氢/燃并网系统功率输出平滑过程中的电解槽、燃料电池容量优化及系统经济性评估问题。利用粒子群与化学反应优化算法优势互补特点,提出基于改进化学反应算法(ICROA)的风/氢/燃并网系统功率平滑经济性评估方案。以系统利润最大为目标,电解槽与燃料电池容量受风电波动约束,同时考虑环境效益、政府补贴和资金时间价值,建立目标函数及其约束条件,并利用改进化学反应算法进行求解。根据吉林省某风电场实测风速数据进行算例分析,通过与原化学反应和粒子群算法计算结果对比,证明所提方法有效评估了系统的经济性,同时得到了电解槽和燃料电池的最优容量。

Economical Evaluation of Wind/Hydrogen/Fuel Cell Grid-Connected System Power Smoothing Based on Improved Chemical Reaction Optimization Algorithm

This paper studies the capacity optimization of electrolyzer and fuel cell, and analyzes the economical evaluation of the wind/hydrogen/fuel cell grid-connected system, during the output smoothing process of the generated power of wind/hydrogen/fuel cell grid-connected system. Economical evaluation scheme for power smoothing of the wind/hydrogen/fuel cell grid-connected system is proposed, based on the improved chemical reaction optimization algorithm, according to the feature that particle swarm optimization algorithm and chemical reaction optimization algorithm complement each other. Taken the maximum profit as an objective, the objective function and its constraint condition are established, considering the subjected capacity of electrolyzer and fuel cell, environmental benefit, government subsidy and time value of capital. The objective function is solved using the improved chemical reaction optimization algorithm. According to the actual measured wind speed data obtained from Daan wind plant of Jilin province, sample calculation analysis is implemented. Compared with the chemical reaction optimization and particle swarm optimization algorithms, the proposed economical evaluation scheme has been evaluated.