考虑需求响应和储能寿命约束的多类型电源协同调度Coordinated Scheduling of Multi-type Power Sources Considering Demand Response and Storage Life Constraints
李琳玮,宁光涛,陈明帆,梁亚峰,何礼鹏,陈皓勇,郑晓东
LI Linwei,NING Guangtao,CHEN Mingfan,LIANG Yafeng,HE Lipeng,CHEN Haoyong,ZHENG Xiaodong
摘要(Abstract):
为了应对不断提高的风电渗透率给电力系统运行带来的调峰压力,参与调峰的火电机组往往需要频繁启停,降低了系统运行的经济性和效率;电化学储能的灵活调节能力和柔性负荷的快速响应能力能够提升系统灵活性,有效平抑风电波动带来的影响。因此,针对储能电池的充放电行为对其寿命带来的影响和不同柔性负荷的响应特性,建立考虑需求响应和储能寿命约束的多类型电源协同调度模型。某地区电网的算例仿真结果表明:在多类型电源电力系统中实施需求响应和引入储能电池参与电网的协同调度,能够有效降低系统负荷峰谷差,提升风电消纳率,减少火电机组的启停机费用和燃料费用,从而提升系统运行经济性;制定调度计划时考虑储能电池的折损成本,有利于延长储能电池的使用寿命。
In order to cope with the pressure of increasing penetration of wind power on peak load regulation of power system, the thermal units involved often undergo frequent startup and shutdown, which reduces the economic and operational efficiency of the system. The flexible regulation of electrochemical energy storage and the rapid response capacity of flexible loads can improve the flexibility of the system and effectively suppress the impact of wind power fluctuations. Given the influence of charging and discharging behavior on the life of energy storage batteries and the response characteristics of different flexible loads, a coordinated scheduling model of multi-type power sources considering demand response and energy storage life constraints was established. An example simulation in regional power grid shows that implementing demand response and introducing energy storage batteries into the coordinated scheduling of power grid in multi-type power sources system can effectively reduce the difference between peak load and valley load, improve the wind power consumption rate, reduce the cost of startup and shutdown of the thermal power unit and fuel cost, thus improving the economical operation of the system. Working out a dispatching plan considering the depreciation cost of energy storage batteries is conducive to extending the battery service life.
关键词(KeyWords):
储能寿命约束;需求响应;多类型电源;协同调度
storage life constraint;demand response;multi-type sources;coordinated scheduling
基金项目(Foundation): 海南电网有限责任公司科技项目(070000KK52190018);; 国家自然科学基金重点项目(51937005)
作者(Author):
李琳玮,宁光涛,陈明帆,梁亚峰,何礼鹏,陈皓勇,郑晓东
LI Linwei,NING Guangtao,CHEN Mingfan,LIANG Yafeng,HE Lipeng,CHEN Haoyong,ZHENG Xiaodong
DOI: 10.19585/j.zjdl.202112004
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