计及电动汽车充电负荷的电力系统中长期生产模拟方法研究
CSTR:
作者:
作者单位:

(西南交通大学电气工程学院,四川 成都 611756)

通讯作者:

杨健维(1983—),女,博士,副教授,主要从事新能源电力系统保护与控制、电动汽车并网研究;E?mail:jwyang@swjtu.cn

中图分类号:

TM743

基金项目:

国家自然科学基金(51977180)


A mid/long‑term power system production simulation approachconsidering charging load of electric vehicles
Author:
Affiliation:

(School of Electric Engineering, Southwest Jiaotong University, Chengdu 611756, China)

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    摘要:

    日益增长的电动汽车充电负荷将给电力系统经济性、可靠性带来影响。电力系统生产模拟作为系统生产成本分析和可靠性评估的重要手段,有必要充分考虑电动汽车充电负荷。首先,利用蒙特卡洛抽样法,重点考虑气温对电动汽车的影响,建立电动汽车充电负荷预测模型。然后,充分考虑电动汽车充电负荷,并采用持续负荷模型,以系统全年生产运行成本最低为目标,计及各发电机组检修计划、启停成本、运行成本约束,建立电力系统中长期生产模拟优化模型。最后,利用CPLEX求解器求解优化模型,实现电力系统生产模拟,可模拟出各机组生产运行参数、机组检修方案、系统总发电量、系统运行总成本。基于修改的IEEE?RTS 79测试系统进行算例分析,验证所提方法的可行性,并分析电动汽车充电负荷对电力系统的影响。

    Abstract:

    The increasing charging load of electric vehicles will have an impact on the economy operation and reliability of the power system. Power system production simulation is an important analysis method of cost and reliability , and it is necessary to consider such charging loads. Firstly, based on the impact of the temperature, the charging load prediction model of electric vehicles is established by the Monte Carlo sampling method. Then, in a continuous load model for electric vehicles to pursuit the lowest annual production and operation cost of the system. The factors such as maintenance plan, start and stop cost, and operation cost constraints of each generator are incorporated, an optimization model of mid/long?term power system production is built. Finally, the CPLEX is used to solve this optimization model to realize the simulation of power system productions, which can modeling the factors like production and operation parameters of each generator, maintenance scheme, total system power generation and total system operation cost. Based on the modified IEEE?RTS 79 test system, a case study is presented to verify the feasibility of the proposed method, and the influence of electric vehicle charging load on power systems is also analyzed.

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陶星宇,杨健维,牛牧童,等.计及电动汽车充电负荷的电力系统中长期生产模拟方法研究[J].电力科学与技术学报,2023,38(1):18-26.
TAO Xingyu, YANG Jianwei, NIU Mutong, et al. A mid/long‑term power system production simulation approachconsidering charging load of electric vehicles[J]. Journal of Electric Power Science and Technology,2023,38(1):18-26.

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  • 在线发布日期: 2023-04-10
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