| 引用本文: | 葛晓琳,裴晨皓.考虑电动汽车随机特性的机组组合问题研究[J].电力自动化设备,2018,(9): |
| GE Xiaolin,PEI Chenhao.Study on unit commitment problem considering stochastic characteristics of electric vehicles[J].Electric Power Automation Equipment,2018,(9): |
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| 摘要: |
| 在考虑不同种类电动汽车随机行驶特性的基础上，建立电动汽车与系统互动的机组组合模型。该模型以各时段电动汽车的充放电功率以及机组出力作为决策变量，以火电机组总成本作为优化目标，在满足各类型电动汽车随机行驶特性的条件下，得出能够适应电动汽车接入的机组最优组合。为描述电动汽车行驶的随机特性，将电动汽车分为私家车、公交车、公务车以及出租车4种类型，利用大量场景模拟不同类型电动汽车的出行离开时间、接入时间以及日行驶里程，并引入电动汽车相关约束中。由于随机机组组合模型的复杂性与非线性，将其转化为线性混合整数规划模型，利用CPLEX进行求解。算例仿真结果验证了采用电动汽车入网(V2G)技术时考虑电动汽车随机特性以及对电动汽车进行分类研究的必要性。 |
| 关键词: 机组组合 调度 电动汽车 随机特性 |
| DOI：10.16081/j.issn.1006-6047.2018.09.012 |
| 分类号:TM761;U469.72 |
| 基金项目:国家自然科学基金资助项目(51507100);“晨光计划”项目(14CG55)；上海市青年科技英才杨帆计划(15YF-1404600) |
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| Study on unit commitment problem considering stochastic characteristics of electric vehicles |
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GE Xiaolin, PEI Chenhao
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College of Power Engineering, Shanghai University of Electric Power, Shanghai 200090, China
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| Abstract: |
| A unit commitment model of interaction between electric vehicles and power system is built considering the stochastic driving characteristics of different kinds of electric vehicles. Based on the proposed model, taking the charging and discharging power of electric vehicles and unit output at each period as decisive variables, and taking the total cost of thermal power units as the optimization goal, the optimal unit commitment that adapts to the access of electric vehicles is obtained under the condition of meeting the stochastic driving characteristics of all kinds of electric vehicles. In order to describe the stochastic characteristics of electric vehicles, the electric vehicles are divided into four types, i. e. private cars, buses, service cars and taxis. A large number of scenarios are used to simulate the departure time, access time and daily travelled distance of electric vehicles, which are introduced to the relative cons-traints of electric vehicles. Because of the complexity and nonlinearity, the unit commitment model is converted into a mixed integer linear programming model and solved by CPLEX. Case simulative results verify that it is necessary to consider the stochastic characteristics and the classified study of electric vehicles when applying V2G(Vehicle to Grid) technology. |
| Key words: unit commitment dispatching electric vehicles stochastic characteristics |
