风光气储联合发电最优容量配比问题研究

开发和利用农村的风能、光能、沼气是解决偏远农村地区用电量快速增加和偏远山区供电问题的有效途径,该文针对3种可再生能源和储能的联合发电问题,通过研究它们之间的协调互补性,提出了一种新型的"风光气储"多能源互补的微电网供电系统,在该系统中因地制宜地采用沼气和蓄电池作为备用电源,通过改进的鲸鱼算法对"风光气储"联合运行问题进行了优化,仿真实验结果表明在成本最低和弃风弃光率最低这2个目标下都能稳定的运行,对已经有的粒子群算法、遗传算法和鲸鱼算法进行了对比,实验结果表明改进的鲸鱼算法在解决"风光气储"最优容量配比问题上得到了很大的提升。

Research on Optimal Capacity Ratio of Wind,Solar and Natural Gas Storage Combined Generation

The development and utilization of rural wind energy,light energy and biogas are effective ways to solve the problem of rapid increase of electricity consumption in remote rural areas and power supply in remote mountainous areas. This paper deals with the problem of combined power generation of three renewable energy sources and energy storage. Coordination and complementarity,a new type of "wind and light gas storage" multi-energy complementary microgrid power supply system is proposed. In this system,biogas and battery are used as backup power sources,and the improved whale algorithm is used to "wind and gas storage". The joint optimization problem is simulated. The results show that the two targets with the lowest cost and the lowest abandonment rate can operate stably. The existing particle swarm algorithm,genetic algorithm and whale algorithm are compared. The experimental results show that The improved whale algorithm has been greatly improved in solving the problem of optimal capacity ratio of "scenery water storage".