引用本文:侯建朝,胡群丰,谭忠富.计及需求响应的风电 - 电动汽车协同调度多目标优化模型[J].电力自动化设备,2016,36(7):
HOU Jianchao,HU Qunfeng,TAN Zhongfu.Multi-objective optimization model of collaborative WP-EV dispatch considering demand response[J].Electric Power Automation Equipment,2016,36(7):
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计及需求响应的风电 - 电动汽车协同调度多目标优化模型
侯建朝1, 胡群丰1, 谭忠富2
1.上海电力学院 经济与管理学院,上海 200090;2.华北电力大学 经济与管理学院,北京 102206
摘要:
随着大规模风电并网,调度和弃风问题严重,且电动汽车无序、随机性入网也可能增加发电侧资源的负担。针对此问题,建立计及需求响应的风电与电动汽车协同调度的多目标优化模型,通过价格机制引导电动汽车入网,以负荷方差和车主支付费用最小为目标,并协调优化发电侧资源消纳风电。采用NSGA-Ⅱ算法求解模型,基于模糊决策理论求取其Pareto解集的折中解。算例分析表明:通过价格机制引导电动汽车入网能够削减负荷峰谷差和车主的支付费用;同时降低了火电机组的运行费用,尤其是火电机组的启停费用;不同的分时电价浮动比例对电动汽车入网的影响不同。
关键词:  电动汽车  风电  联动调度  需求响应  NSGA-Ⅱ  电价浮动
DOI:
分类号:
基金项目:上海市哲学社会科学项目(中国省区电力生产碳排放和电力消费隐含碳排放差异及其驱动因素研究)(2012-BJB006)
Multi-objective optimization model of collaborative WP-EV dispatch considering demand response
HOU Jianchao1, HU Qunfeng1, TAN Zhongfu2
1.School of Economics and Management,Shanghai University of Electric Power,Shanghai 200090,China;2.School of Economics and Management,North China Electric Power University,Beijing 102206,China
Abstract:
The large-scale grid-connection of WP(Wind Power) brings serious WP dispatch and discard problem while the disordered and random grid-connection of EVs(Electric Vehicles) may increase the burden on generation-side resources,aiming at which,a multi-objective optimization model of collaborative WP-EV dispatch considering demand response is established. It adopts the price mechanism to guide the grid-connection of EVs,takes the minimum load fluctuation and minimum EV payment as its objectives,and coordinates them with the optimization of generation-side resources to accommodate WP. NSGA-Ⅱ algorithm is applied to solve the model and its compromise solution of Pareto set is obtained based on the fuzzy decision theory. Case analysis shows:the difference between peak and valley loads and the payment of EV owners are reduced;the operating cost of thermal power unit is lowered,especially its startup/shutdown cost;different floating proportions of time-of-use price have different effects on the grid-connection of EVs.
Key words:  electric vehicles  wind power  collaborative dispatch  demand response  NSGA-Ⅱ  price floating

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