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作 者:丁泉 窦晓波[1] 钱国明[2] 黄超[2] 陈孝煜[2] 李鹏 DING Quan;DOU Xiaobo;QIAN Guoming;HUANG Chao;CHEN Xiaoyu;LI Peng(School of Electrical Engineering,Southeast University,Nanjing 210096,China;Guodian Nanjing Automation Co.,Ltd.,Nanjing 210032,China)
机构地区:[1]东南大学电气工程学院,江苏南京210096 [2]国电南京自动化股份有限公司,江苏南京210032
出 处:《电力自动化设备》2021年第9期56-63,共8页Electric Power Automation Equipment
基 金:国家自然科学基金资助项目(51777031)。
摘 要:针对国内最新电力现货市场规则,设计了园区型综合能源系统参与电力市场的系统框架和运行模式,基于多时间尺度多步递进优化的思想,建立了包含日前、日内、实时三阶段联合优化经济运行模型:在日前和日内阶段,采用随机优化概率约束解决光伏、负荷的不确定性问题,通过线性规划算法求解现货日前市场最优申报用电量和日内24 h功率计划曲线;在实时阶段,采用模型预测控制算法,形成了对功率、电价信息的滚动跟踪预测和校正反馈,实现与实时市场的同步滚动优化。算例分析结果表明,该优化经济运行模型可以使园区用户积极跟踪电力现货市场价格波动,通过降低综合用能成本有效提升盈利空间。According to the latest domestic electricity spot market rules,the model of a park-level IES(Inte-grated Energy System)that participates in the electricity market is proposed.In this model,the multi-time scale and multi-step progressive optimization is employed,based on which a three-stage joint optimization economic operation model including day-ahead,intraday and real-time stages is developed.Specifically,in the day-ahead and intraday stages,a stochastic optimization model with probability constraints is adopted to address uncertainty of photovoltaic production and load.As a result,a linear programming model is developed to solve the optimal power demand bidding,together with the 24-hour power production curve of the day-ahead market.In the real-time stage,the model predictive control algorithm is applied to construct the method of rolling tracking prediction and correction feedback of power and price information,so as to realize the synchronous rolling optimization with the real-time market.Numerical results show that the proposed three-stage optimization economic operation model enables park users to actively track the price fluctuation of spot electricity market,and effectively improve their profits by reducing the comprehensive energy consumption cost.
关 键 词:电力现货市场 综合能源系统 经济优化策略 模型预测控制 滚动优化
分 类 号:F123.9[经济管理—世界经济] TM73[电气工程—电力系统及自动化]
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