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作 者:李凤祥[1] 贺鑫洪 孔维健 姜畅畅 LI Fengxiang;HE Xinhong;KONG Weijian;JIANG Changchang(School of Electrical and Information Engineering,Jiangsu University,Zhenjiang 212013,China)
机构地区:[1]江苏大学电气信息工程学院,江苏镇江212013
出 处:《重庆理工大学学报(自然科学)》2022年第5期195-202,共8页Journal of Chongqing University of Technology:Natural Science
摘 要:为了提高远洋海岛多能源系统的中长期运行经济性,提出一种以系统年综合运行成本最小为目标、考虑风光预测出力不确定性和安全运行约束等因素的检修与调度协同优化模型。建立远洋海岛多能源系统内各组件数学模型,采用场景分析法对风光机组出力进行预测,得到典型出力场景;建立协同优化模型,通过算例得到不同检修方案下的综合运行成本、可再生能源机组检修计划,以及给定方案下系统内机组调度安排和不同储能模式的综合运行成本。算例结果表明:场景分析法能够降低风光预测误差对系统运行经济性的影响,检修与调度协同优化有助于提高系统运行经济性,验证了新模型的有效性;多种储能装置配合使用能进一步提高系统运行经济性。In order to improve the medium and long-term operation economy of pelagic island multi-energy system,a coordinated optimization model for maintenance and dispatching is proposed,which aims to minimize the annual comprehensive operation cost of the system,and considers the uncertainty of wind/photovoltaic output power forecast and the constraints of safe operation.Firstly,the mathematical model of each unit in the pelagic island multi-energy system is constructed.Then,the output power of wind/photovoltaic is predicted and typical output scenarios are obtained by the scenario analysis method.Finally,a coordinated optimization model is constructed,and the comprehensive operation cost and the maintenance plan of renewable energy units under different maintenance schemes are obtained through the calculation example,as well as the dispatching of units and the comprehensive operation cost of different combinations of energy storage devices under a given scheme.The calculation example results show that the scenario analysis method can reduce the influence of wind/photovoltaic forecast errors on the system operation economy;in addition,the coordinated optimization of maintenance and dispatching helps to improve the operation economy of the system,and verifies the effectiveness of the proposed model;furthermore,various energy storage devices can be used together to further improve the operation economy of the system.
关 键 词:远洋海岛 多能源系统 中长期运行 机组检修计划 不确定性 协同优化
分 类 号:TM73[电气工程—电力系统及自动化]
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