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作 者:宋艺航[1] 谭忠富[1] 李欢欢[1] 刘文彦[1]
机构地区:[1]华北电力大学经济与管理学院,北京市昌平区102206
出 处:《电网技术》2014年第3期610-615,共6页Power System Technology
基 金:国家自然科学基金项目(71071053;71273090)~~
摘 要:将需求侧响应与储能技术纳入发电调度优化,借助需求侧管理与储能技术对负荷分布的调控能力提高风电的消纳水平。以经济效益最大化为优化目标,考虑功率供需平衡、用电侧电价弹性、储能系统能量损耗、机组启停时间、爬坡能力、发电出力界限、发电备用等约束条件,构建含大规模风电的电力调度模型。模拟结果表明,借助需求侧与储能技术的协作效应,系统对风电的消纳能力将有所提高,风电机组的经济效益将更有保证,系统的发电煤耗水平有所下降。To improve wind power accommodation level, it is necessary to bring demand side response and energy storage technology into optimization of power generation scheduling, and utilize the ability of demand side management and energy storage technology to adjust and control load distribution. Taking economic benefit maximization as the objective of optimization, and considering such constraints as coordination of power supply and demand, electricity price elasticity at power consumption side, energy loss in energy storage system, operating and outage time of generating units, ramp rate of generating units, limit of generation output and reserve capacity, a power generation dispatching model for power grid integrated with large-scale wind farms is constructed. Simulation results show that by means of the synergetic effect of demand side management with energy storage technology, power grid’s ability of accommodating wind power could be improved and economic benefit of wind power generating units would be ensured better, and power grid’s coal consumption level for power generation would be decreased.
关 键 词:风电消纳 分时电价 储能 机组组合 混合整数规划
分 类 号:TM71[电气工程—电力系统及自动化] F407.61[经济管理—产业经济]
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