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作 者:高红均[1] 尚梦琪 贺帅佳 刘俊勇[1] GAO Hongjun;SHANG Mengqi;HE Shuaijia;LIU Junyong(College of Electrical Engineering,Sichuan University,Chengdu 610065,Sichuan Province,China)
机构地区:[1]四川大学电气工程学院,四川省成都市610065
出 处:《中国电机工程学报》2024年第19期7636-7647,I0012,共13页PROCEEDINGS OF THE CHINESE SOCIETY FOR ELECTRICAL ENGINEERING
基 金:国家自然科学基金项目(52077146,52307123);四川省科技计划项目(2023NSFSC1945);现代电力系统仿真控制与绿色电能新技术教育部重点实验室(东北电力大学)开放课题(MPSS2023-09)。
摘 要:近年来极端高温事件频发,负荷侧用电需求激增,电源侧供应能力不足,有必要开展保障极端高温事件下商业综合体楼宇负荷可靠供应的综合能源规划研究。首先,对极端高温事件影响进行建模,并划分重要负荷可靠供应集合,同时建立电价型需求响应改变负荷曲线,在极端高温事件下,叠加激励型需求响应来进一步降低负荷水平,考虑经济因素与心理因素对其用户响应概率的影响,并对其不确定性进行描述;其次,以楼宇的规划周期内年总规划成本最优为目标,建立决策楼宇各能源设备型号及台数的楼宇极端高温事件下负荷可靠供应规划模型。利用综合范数约束普通场景、布尔变量约束极端高温场景的概率分布的分布鲁棒优化模型应对屋顶分布式光伏、光伏幕墙及负荷的不确定性。最后,通过算例表明,所提模型在保障极端事件下负荷可靠供应方面具有良好的经济性及鲁棒性。研究成果可为楼宇综合能源规划提供一定的参考。In recent years,extreme heat events have occurred frequently,with a surge in load-side electricity demand and insufficient supply capacity on the power-side.In this context,a planning study is conducted on commercial complex buildings to guarantee reliable supply of loads under extreme heat events.First,the impact of extreme high temperature events is modeled and the important load reliable supply set is divided.At the same time,a price-based demand response is established to change the load curve,and a incentive-based demand response is superimposed to further reduce the load level under extreme high temperature events.The impact of economic and psychological factors on the response probability of its users is considered,and its uncertainty is characterized.Secondly,with the objective of optimizing the annual total planning cost in the planning cycle of the building,a planning model for reliable supply of loads under extreme high temperature events in the building is developed for each energy equipment model and number of units in the decision-making building.Then,a distributionally robust optimization model using integrated paradigms to constrain the probability distribution of ordinary scenarios and Boolean variables to constrain the probability distribution of extreme heat scenarios is applied to cope with the uncertainty of accessing distributed photovoltaic,photovoltaic curtain wall and loads on rooftops.Finally,an arithmetic example shows that the proposed model has good economy and robustness in guaranteeing the reliable supply of loads under extreme events.The research results can provide some reference for building integrated energy planning.
关 键 词:极端高温事件 负荷可靠供应 需求响应 不确定性 楼宇规划
分 类 号:TM715[电气工程—电力系统及自动化]
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