| 摘要: |
| 为实现家庭用电的削减及推动用户侧和电网侧的双向互动，在智能用电技术高速发展和节能减排的背景下，结合智能用电技术、智能家电、家庭用电行为及电力需求响应，建立家庭用电响应模式运行流程图。构造经济模式和节能模式的数学模型，采用遗传算法的机组组合、模糊关联权重法来实现家庭用电优化，实现用电环境的经济和舒适。算例仿真结果表明用电响应模式及其数学模型、优化方法都是正确合理的，起到很好的削峰填谷、节约用电的效果。 |
| 关键词: 双向互动 用电响应模式 模糊关联权重法 家庭用电优化 需求响应 |
| DOI：10.7667/j.issn.1674-3415.2014.12.009 |
| 分类号: |
| 基金项目:国家863计划资助项目（2011AA05A115） |
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| Research on household electricity response mode |
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YANG Xiao-dan, LI Yang
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School of Electrical Engineering, Southeast University, Nanjing 210000, China
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| Abstract: |
| To achieve the reduction of household electricity and promote the bilateral interaction between the consumer and the power grid, on the background of the rapid development of intelligent electricity technology and energy-saving and emission-reduction, combining intelligent electricity technology, smart appliances, behavior of household electricity-use and demand respond, the paper builds household electricity response mode flow diagram and its mathematical model. Then, the paper adopts unit commitment of genetic algorithm (GA) and the fuzzy association weighting method to achieve household electricity optimization and make electricity-use more economic and more comfortable. The results demonstrate that the proposed content is right and proper and have a good result of peak clipping, valley filling and electricity saving. |
| Key words: bilateral interaction electricity response mode fuzzy association weighting method household electricity optimization demand response |
