摘要
针对分布式风电、光伏并网对电网调度运行的影响,利用光热电站(concentrating solar power plant,CSP)出力可调的特点,联合储能电池构建包含风电、光伏、光热及储能电池的多能源虚拟电厂(virtual power plant,VPP)。根据光热及储能电池特性,基于分时电价制定运行策略,以各时段净收益最大为目标,建立虚拟电厂两阶段优化调度模型。在日前调度中,综合风光预测出力,考虑分时电价和光照因素,优化光热出力,制定申报出力计划;在实时调度中,光热通过储热装置充放热对风光出力偏差进行修正,储能电池辅助光热对偏差进行调节,并采用自适应粒子群算法优化各单元出力。最后,通过仿真验证所建模型合理性及运行策略可行性。结果表明采用光热和储能电池联合调节,可有效降低虚拟电厂实时出力跟踪申报出力偏差,提高经济效益。
In view of the impact of distributed photovoltaic and wind power grid-connection on power grid dispatching and operation,a multi-energy virtual power plant(VPP)including photovoltaic,solar thermal power,wind power and energy storage batteries is constructed by combining energy storage batteries with the flexibility of concentrating solar power plant(CSP).According to the characteristics of CSP and energy storage battery,the operation strategy is formulated according to time-of-use(TOU)electricity price,and a two-stage optimal dispatching model of virtual power plant is established with the goal of maximizing the net income in each period.In the day-ahead scheduling,it optimizes the CSP output and formulates the declaration and output plan by considering the TOU electricity price and sunlight factors.In the real-time scheduling,the deviation of wind power and photovoltaic output is corrected by using the charge and discharge of thermal storage system,CSP is assisted by energy storage battery to adjust the deviation,and the adaptive particle swarm optimization algorithm is used to optimize the output of each unit.Finally,the rationality of the model and the feasibility of the operation strategy are verified by simulation.The results show that the combined regulation of CSP and energy storage battery can effectively reduce the deviation of real-time output tracking declared output of virtual power plant and improve economic benefits.
作者
赵玲霞
王兴贵
丁颖杰
郭永吉
李锦健
ZHAO Lingxia;WANG Xinggui;DING Yingjie;GUO Yongji;LI Jinjian(College of Electrical and Information Engineering,Lanzhou University of Technology,Lanzhou 730050,China)
出处
《电力建设》
CSCD
北大核心
2022年第4期119-129,共11页
Electric Power Construction
基金
甘肃省自然科学基金项目(21JR7RA205)。
关键词
虚拟电厂(VPP)
光热发电
分时电价
自适应粒子群算法
优化调度
virtual power plant(VPP)
concentrating solar power
time-of-use electricity price
adaptive particle swarm optimization
optimal scheduling
