考虑灵活爬坡辅助服务和弃风惩罚的现货电能量市场出清模型OA北大核心CSTPCD
Cleaning model of a spot electric energy market considering flexible ramping auxiliary services and wind curtailment penalty
为解决风电不确定性引起的系统爬坡能力不足、高比例风电接入时系统总运营成本偏高等问题,提出了计及改进灵活爬坡辅助服务和弃风惩罚的现货电能量市场出清模型.首先,分析了单台机组在出力状态、投入/退出过程中需要满足的爬坡速率约束,以及系统因净负荷波动需要满足的爬坡能力约束,提出了改进的灵活爬坡辅助服务产品.然后,以发电计划和机组状态为决策变量,构建了计及灵活爬坡辅助服务和弃风惩罚的目标函数.最后,通过两个算例从风电预测误差、风电渗透率和弃风惩罚成本等不同角度进行深入分析,验证所提出清模型的有效性.算例结果表明,所提出清模型既提高了系统运行的灵活性和经济性,又提升了高比例风电的消纳能力.
A cleaning model of a spot electric energy market considering modified flexible ramping auxiliary service and wind curtailment penalty is presented to solve issues such as insufficient system ramping capacity caused by wind power uncertainty and high total operating costs caused by a high penetration of wind power.First,a modified flexible ramping auxiliary service is proposed.This is done by analyzing the flexible ramping speed constraints that a single-unit needs to meet during output,startup and shutdown processes,and the flexible ramping ability constraints that the system needs to meet because of net load fluctuations.Secondly,an objective function that takes into account the modified flexible ramping auxiliary service and wind curtailment penalty is established.It uses output plans and the status of generators as decision variables.Finally,two examples are given to verify the effectiveness of the proposed cleaning model through in-depth analysis from different perspectives such as wind power forecasting error,penetration ratio,and curtailment penalty cost.The simulation results show that the presented model not only improves system flexibility and economy of system operation,but also enhances the consumptive ability of a high proportion of wind power.
胡晓静;李慧;崔晖;刘思嘉;叶林;路怡;丁强
电力调度自动化技术研究与系统评价北京市重点实验室(中国电力科学研究院有限公司),北京 100192北京信息科技大学自动化学院,北京 100192中国农业大学信息与电气工程学院,北京 100083
现货市场风电消纳灵活爬坡弃风惩罚出清模型
spot marketwind power consumptionflexible climbingwind curtailment penaltycleaning model
《电力系统保护与控制》 2024 (004)
133-143 / 11
This work is supported by the National Key Research and Development Program of China(No.2022YFB2403400). 国家重点研发计划资助(2022YFB2403400);北京市重点实验室开放基金项目资助(DZ80-22-001)
评论