文章摘要
付爱慧,张峰,张利,等.考虑爬坡功率有限平抑的高渗透率光伏电网储能配置策略[J].电力系统自动化,2018,42(15):53-61. DOI: 10.7500/AEPS20171130006.
FU Aihui,ZHANG Feng,ZHANG Li, et al.Capacity Optimization Strategy of Energy Storage System for Power Grid with High Penetration of Photovoltaic Considering Limited Smoothing of Photovoltaic Ramping Power[J].Automation of Electric Power Systems,2018,42(15):53-61. DOI: 10.7500/AEPS20171130006.
考虑爬坡功率有限平抑的高渗透率光伏电网储能配置策略
Capacity Optimization Strategy of Energy Storage System for Power Grid with High Penetration of Photovoltaic Considering Limited Smoothing of Photovoltaic Ramping Power
DOI:10.7500/AEPS20171130006
关键词: 高渗透率  光伏发电  储能系统  容量配置  备用  调频成本
KeyWords: high penetration  photovoltaic power generation  energy storage system(ESS)  capacity optimization  reserve  cost of frequency regulation
上网日期:2018-07-05
基金项目:山东省自然科学基金青年基金资助项目(ZR2018QEE005)
作者单位E-mail
付爱慧 电网智能化调度与控制教育部重点实验室(山东大学), 山东省济南市 250061  
张峰 电网智能化调度与控制教育部重点实验室(山东大学), 山东省济南市 250061 fengzhang@sdu.edu.cn 
张利 电网智能化调度与控制教育部重点实验室(山东大学), 山东省济南市 250061  
梁军 电网智能化调度与控制教育部重点实验室(山东大学), 山东省济南市 250061  
徐震 山东大学能源与动力工程学院, 山东省济南市 250061  
摘要:
      随着光伏发电渗透率的提高,电网需有较大调频备用容量应对光伏功率的随机大幅波动。储能系统(ESS)的快速充放电能力能够对光伏发电出力的大幅波动进行快速平抑,以减小电网调频所需备用容量。但目前储能成本相对较高,无法完全依赖储能来应对光伏功率的大幅度爬坡。为此,文中首先提出了利用有限容量的储能实现光伏爬坡功率有限平抑的控制策略,对光伏出力大幅度波动进行有效平抑。然后,考虑电网调频容量需求与储能配置容量的相互制约关系,建立了ESS投入后调频成本计算的数学模型,并以等效收益最大为优化目标实现ESS能量容量和功率容量的优化配置。最后,利用遗传算法对优化模型进行求解,并通过某高渗透率光伏电网验证了该方法的有效性。
Abstract:
      With the increase of photovoltaic(PV)penetration, the power grid needs a large capacity of regulation reserve to cope with the large random fluctuation of PV power. The energy storage system(ESS)can easily deal with the large fluctuation of PV power due to its fast charging and discharging capability, which can reduce the reserve capacity needed for frequency regulation. However, ESS cannot be used to cope with the PV power fluctuation independently owing to its high price. Therefore, this paper proposes a new strategy which uses limited ESS to smooth PV ramping power, to effectively suppress large fluctuations of PV output. Considering the restriction relation between regulating reserve and energy storage capacity, a mathematical model is developed for the calculation of frequency regulation costs after applying ESS. And the energy capacity and power capacity of ESS are optimally configured with the goal of maximizing equivalent return. Finally, the genetic algorithm(GA)is used to solve the optimization model, and simulation results based on a power grid with high penetration of PV are presented to verify the effectiveness of the proposed method.
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