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机构地区:[1]东南大学电气工程学院,南京210096 [2]国网江苏省电力公司经济技术研究院,南京210008 [3]江苏省电力设计院,南京211102
出 处:《电力需求侧管理》2016年第5期4-9,20,共7页Power Demand Side Management
基 金:国家电网公司总部科技项目:基于复合信息的需求响应多级调控关键技术研究
摘 要:21世纪以来,环境的恶化问题和传统资源的短缺问题逐渐突出,新能源发电在这一背景下应运而生。其中风力发电在发电市场的占有率逐步提高,大规模风力发电并网给电力系统带来的问题日益严峻。直接负荷控制(direct loadcontrol,DLC)是一种非常重要的基于激励的需求响应手段,设计合理的直接负荷控制实施策略及直接负荷控制资源的决策优化是决定直接负荷控制效果的关键因素。设计了风电接入环境下的多目标直接负荷控制资源优化模型,模型中考虑到了负荷曲线特性指标与用户满意度,提出了多目标分种群遗传算法对模型进行求解。算例证明了DLC决策模型在减小系统峰荷方面的作用。In twentyfirst century, new energy power genera- tion rises in response to the increasingly serious environmental pollu- tion and the ever-grating shortage of traditional resources. Power system is confronted with more critical issues as a result of large- scale integration of wind power generation, Direct load control (DLC) is an important measure of demand response. As a flexible incentive mechanism, designing rational DLC implc, mentation strategy and op- timizing DLC decision are crucial to its successful implementation. A multi-objective DLC decision model is proposed in this paper, which mainly eovem the construction of the peak avoidance and the uncertainty of wind energy power generation. Both the improvement of load characteristics and user satisfaction are taken into consider- ation in this mode and multi-objective genetic algorithms are used in model solution Case simulation is carried out and the comparative analysis on optimized decision results are performed to validate the role played by the DLC dcision model in decreasing the peak-load.
关 键 词:直接负荷控制 多目标遗传算法 风电接入 峰荷削减 需求响应
分 类 号:TM714[电气工程—电力系统及自动化]
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