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离网条件下考虑短时间尺度的水光蓄多能互补发电系统备用容量确定方法 被引量:14

Reserve Optimization for Offline Multi-energy Complementary Generation System in Short Time Scale
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摘要 当前光伏等新能源的大规模应用在一定程度上缓解了全球能源短缺和环境污染问题,但新能源本身的间歇性和随机性问题使其无法独立完成供电,常常配置水电机组和抽水蓄能机组补偿光伏,形成水光蓄多能互补发电系统。大部分水光蓄多能互补发电系统修建在远离主电网的偏远地区,经常会出现离线运行的状况,由于无法与主电网完成电能交换,导致新能源渗透率较高的多能互补发电系统供电可靠性不如传统电网,合理配置系统备用容量是保证系统供电可靠性的关键。文章提出了在离网条件下考虑短时间尺度的水光蓄多能互补发电系统备用容量确定方法,建立了基于系统发电容量和备用容量耦合关系的两阶段优化模型。由于系统的备用容量受到系统的发电容量制约,因此,首先考虑系统的发电计划,完成系统小时级的发电容量配置,然后在此基础上进行基于机会约束的系统分钟级的备用容量优化,该机会约束使得离线系统实际运行时在某概率下可靠供电,符合实际电网运行时,允许出现短时间的功率不平衡的情况。仿真结果表明,与传统的系统备用配置原则相比较,合理设置机会约束的置信度可在系统运行成本增加幅度不大的情况下,大大提高水光蓄多能互补系统的供电可靠性。 Nowadays,new energy is an important tool to fight global energy shortage crisis and environment pollution,but new energy generation system can't supply load independently because of its intermittent and uncertainty.Thus,hydropower stations and pump-storage stations have been built around new energy source to form a multi-energy complementary generation system.Most of these multi-energy complementary generation systems are located in remote areas away from large power grid,offline operation that prevents the power exchange between the multi-energy system and the major power grid.Contrast to the online operation,the reliability of the multi-energy system reduces dramatically.Rational configuration of the reserve capacities is the key to improve the reliability of the multi-energy system.This paper innovatively proposes an offline multi-energy complementary generation system in a short time scale and builds a two-phase optimization model considering the coupling relationship between the phases of reserve and generation.In the first phase,the system generation capacity is optimized on the hour basis.In the second,based on the first phase optimization,the optimization with the chance constraints on minute basis is constructed,where the load and photovoltaic output model is built by using probability distribution function,allowing the offline micro-grid could supply local area in a certain probability,then the Cplex solver is used to solve this two-phase optimization model.This proposed two-phase optimization model is demonstrated on a certain domestic multi-energy complementary system and makes a good compromise of economics and reliability for system operation by reasonably setting probability of chance constraint.
作者 蒋万枭 刘继春 韩晓言 丁理杰 胡灿 杨芳 彭钰祥 冯麒铭 JIANG Wanxiao;LIU Jichun;HAN Xiaoyan;DING Lijie;HU Can;YANG Fang;PENG Yuxiang;FENG Qiming(College of Electrical Engineering,Sichuan University,Chengdu 610065,Sichuan Province,China;State Grid Sichuan Electric Power Company,Chengdu 610041,Sichuan Province,China)
出处 《电网技术》 EI CSCD 北大核心 2020年第7期2492-2502,共11页 Power System Technology
基金 国家重点研发计划项目“分布式光伏与梯级小水电互补联合发电技术研究及应用示范”(2018YFB0905200)。
关键词 水光蓄多能互补发电系统 离线 两阶段优化 机会约束 备用 multi-energy complementary generation system offline two-phase optimization chance-constraint reserve
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