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机构地区:[1]南京信息职业技术学院,江苏南京210023 [2]南充市电业局,四川南充637000
出 处:《计算机仿真》2015年第4期111-115,143,共6页Computer Simulation
摘 要:在发电系统并网效能优化设计的研究中,风力发电和光伏发电的功率输出具有很强的随机性和波动性,考虑二者时间上和空间上存在互补性,可以构成风光互补发电系统,同时配置一定的抽水蓄能电站作为储能装置形成风光抽水蓄能联合运行系统。以风光-抽水蓄能系统的经济收益最大化为目标,建立抽水蓄能电站容量配置的优化模型,采用一种改进的粒子群算法对模型求解。最后,通过仿真表明,适当容量的抽水蓄能电站可提高风能和太阳能的利用率,同时增加风光发电系统的经济收益。The power outputs of wind power and photovoltaic power generation have strong randomness and volatility. Considering that wind power and photovohaic power are complementary in time and space, a complementary system of wind power and photovoltaic power generation can be formed, the pumped storage station can be introduced in the wind power and photovohaie power complementary power generation system to form wind and photovohaic power-- the pumped storage union generation system. In this paper, aimed at the economic benefits maximization of wind & solar pumped storage system, the optimization model of capacity configuration of Pumped Storage Power Station was buit, and an improved particle swarm algorithm was used to solve the model. Finally, a practical example of the simulation indicates that the pumped storage power station with proper capacity can improve the utilization of wind and solar energy, and increase the economic benefits of the generation systems.
关 键 词:风光互补发电系统 抽水蓄能电站 容量优化 改进粒子群算法
分 类 号:TM743[电气工程—电力系统及自动化]
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