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作 者:姚梦 荆朝霞[1] Yao Meng;Jing Zhaoxia(School of Electric Power Engineering,South China University of Technology,Guangzhou Guangdong 510640,China)
出 处:《电气自动化》2024年第5期8-10,共3页Electrical Automation
摘 要:针对可再生能源电力系统计及储能的随机生产模拟方式较少且效率不高的问题,基于发电系统可靠性评估,对比分析现有研究储能参与随机生产模拟方式,提出储能参与随机生产模拟新方式,即通过储能充放电保持需求曲线不变,不断修正系统的技术出力及爬坡速度。通过可靠性测试系统仿真分析储能参与随机生产模拟方式对储能充放电期望以及系统可靠性评估的影响。结果表明,所提储能参与随机生产模拟新方式具有明显的准确性和高效性。故新方式能够灵活应对发电容量变化,为含储能电力系统的稳定运行带来新的解决方案。In response to the problem of limited and inefficient random production simulation methods considering energy storage in renewable energy power systems,based on the reliability evaluation of power generation systems,a comparative analysis of existing research on energy storage participating in random production simulation methods was proposed.A new method of energy storage participating in random production simulation was put forward,which involved charging and discharging energy storage,keeping the demand curve unchanged,and continuously correcting the technical output and climbing speed of the system.The impact of energy storage participation in random production simulation on energy storage charging and discharging expectations and system reliability evaluation through reliability testing system(reliability test system,RBTS)simulation was simulated and analyzed.The results indicate that the proposed new method of energy storage participating in stochastic production simulation has significant accuracy and efficiency.Therefore,the new approach can flexibly respond to changes in power generation capacity,bringing new solutions for the stable operation of power systems containing energy storage.
分 类 号:TM732[电气工程—电力系统及自动化]
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