引用本文:刘新东,陈焕远,姚 程.计及大容量燃煤机组深度调峰和可中断负荷的风电场优化调度模型[J].电力自动化设备,2012,32(2):
LIU Xindong,CHEN Huanyuan,YAO Cheng.Economic dispatch considering deep peak-regulation and interruptible loads for power system incorporated with wind farms[J].Electric Power Automation Equipment,2012,32(2):
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计及大容量燃煤机组深度调峰和可中断负荷的风电场优化调度模型
刘新东, 陈焕远, 姚 程
暨南大学 电气信息学院,广东 珠海 519070
摘要:
从含大规模风电场的电网经济运行角度出发, 提出了一种计及大容量燃煤机组深度调峰和可中断负荷的优化调度模型。该模型首先从机组煤耗特性、单位发电容量补偿费用以及机组寿命损耗3个方面定义了深度调峰费用,从负荷备用费用和实际发生的负荷损失补偿2个方面定义可中断负荷费用,建立以深度调峰费用、可中断负荷费用及网损费用之和最小的优化目标,利用内点法对含风电场的电网调度模型进行优化。以新英格兰测试系统为例,分析了4种典型场景下的负荷及费用情况,最后给出了日前调度计划优化结果,结果显示节省费用达4.9 %,验证了所提算法的可行性和有效性。
关键词:  电力系统  风力发电  深度调峰  可中断负荷  模型  优化
DOI:
分类号:
基金项目:国家自然科学基金资助项目(51007030);中央高校基本科研业务费专项资金资助项目(21611420,21611382);暨南大学人才引进计划(2009273)
Economic dispatch considering deep peak-regulation and interruptible loads for power system incorporated with wind farms
LIU Xindong, CHEN Huanyuan, YAO Cheng
College of Electrical Information Engineering,Jinan University,Zhuhai 519070,China
Abstract:
An optimal dispatch model is put forward for the power system incorporated with wind farms, which considers,from the view point of economic operation,the deep peak-regulation of high-capacity coal-fired unit and the interruptible loads. The deep peak-regulation fee is defined in three aspects:coal consumption,unit power compensation and life consumption. The interruptible load fee is defined in two aspects:load reservation and real load loss. The optimization object is the minimum summation of deep peak-regulation fee,interruptible load fee and net loss,with which the dispatch model of power system with wind farms is optimized by the interior point method. With New England test system as an example,its loads and fees are analyzed for 4 typical cases and the results of optimal dispatch for daily generation schedule show that,the cost is reduced up to 4.9%,proving the rationality and effectiveness of the proposed algorithm.
Key words:  electric power systems  wind power  deep peak-regulation  interruptible loads  models  optimization

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