摘要
针对采用P2G机组和含燃料电池、储冷罐、储热罐的冷热电联产(CCHP)系统,以年最大净收益为目标进行调度优化。考虑了西北某地区夏季和冬季典型日的环境和负荷,分时电价、热价和分布式电源的出力特性以及储能系统的特性,采用改进粒子群算法,对所提方案的机组进行调度优化,通过将成本收益数据对比分析,验证了提高机组效率的系统构建方式。
This research doing the scheduling optimization for the power-to-gas unit and combined-cooling-heating-power(CCHP)system aims for the maximum annual net income.It considered the environment and electric load,the time-of-use electricity price,the heating price,the output characteristics of distributed power sources,and the characteristics of the energy storage system of a typical day in summer and winter in an area of northwest China.This paper used a swarm algorithm to optimize the units of the proposed scheme.The result verified that the new way to construct the system could improve the unit efficiency by comparing and analyzing the cost-benefit data.
作者
马明
纳春宁
余双
潘欢
MA Ming;NA Chun-ning;YU Shuang;PAN Huan(School of Physics and Electronic-Electrical Engineering,Ningxia University,Yinchuan 750021,China)
出处
《电工电气》
2021年第11期1-5,11,共6页
Electrotechnics Electric
基金
自治区重点研发计划项目(2019BDE03007)
自治区重点研发计划项目(引才专项)(2018BEB04003)。
关键词
P2G机组
冷热电联产(CCHP)
储能设备
调度优化
power-to-gas unit
combined-cooling-heating-power
energy storage equipment
scheduling optimization
