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. DOI: 10.7500/AEPS20171130006.
FU Ai-hui,ZHANG Feng,ZHANG Li, et al.Capacity Optimization of Energy Storage System for High Photovoltaic Penetration Power Grid Considering the Control of Photovoltaic Output Ramp Rate[J].Automation of Electric Power Systems. 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 of Energy Storage System for High Photovoltaic Penetration Power Grid Considering the Control of Photovoltaic Output Ramp Rate
DOI:10.7500/AEPS20171130006
关键词: 高渗透率  光伏  储能  容量  备用
KeyWords: High penetration  Photovoltaic power  Energy storage system  Capacity  reserve
上网日期:2018-07-05
基金项目:山东基自然科学青年基金资助项目(ZR2018QEE005);山东大大学青年学者未来计划资助;山东大学基本科研业务费资金资助(2017JC039)
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 aihui.fu@outlook.com 
张峰 电网智能化调度与控制教育部重点实验室山东大学 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 yzhangli@sdu.edu.cn 
梁军 电网智能化调度与控制教育部重点实验室山东大学 liangjun@sdu.edu.cn 
徐震 山东大学能源与动力工程学院 xuzhen@sdu.edu.cn 
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(energy storage system,ESS)的快速充放电能力能够对光伏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;但目前其成本相对较高,无法完全依赖储能应对光伏功率的大幅度爬坡问题。为此,本文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容量和功率的优化配置。最后,利用遗传算法(genetic algorithm,GA)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:
      Solar photovoltaic (PV) power generation can be relatively variable and random due to the influence of temperature variation, cloud passing and so on, which will lead to wide frequency fluctuations in high penetration PV grid. The power grid must have a large reserve capacity to cope with the PV high ramp-rate. Energy storage system (ESS) could easily deal with the PV high ramp-rate because of its fast charging and discharging capacity, however, ESS couldn’t be used to stabilize the PV ramp-rate independently owing to its price. Therefore, this paper proposes a strategy that uses limited ESS to control the PV ramp-rate to a desired level, and put forward to the optimal ESS allocation method with the maximum of grid profit after applying ESS, considering the mutual restriction relation between frequency control spare capacity and energy storage capacity. Finally, genetic algorithm (GA) is used to solve the optimization algorithm, and the effectiveness of this method is verified using simulation results based on a high penetration photovoltaic grid.
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