EN计及需求响应与含电动汽车的综合能源系统双层优化调度
计及需求响应与含电动汽车的综合能源系统双层优化调度
- 华北电力大学学报（自然科学版） 2026年53卷第1期 页码：12-22
- 作者机构：
1. 华北电力大学控制与计算机工程学院
2. 中国电力科学研究院有限公司
- 作者简介：
- 基金信息：中央高校基本科研业务费专项资金资助项目(2021MS089)
DOI：
中图分类号： U491.8;TM73;TK01-
纸质出版：2026
- 稿件说明：
移动端阅览
[1]黄宇,李对,李旭昕,等.计及需求响应与含电动汽车的综合能源系统双层优化调度[J].华北电力大学学报(自然科学版),2026,53(01):12-22.
黄宇, 李对, 李旭昕, et al. 计及需求响应与含电动汽车的综合能源系统双层优化调度[J]. 2026, 53(1): 12-22.
摘要
近年来，电动汽车规模化接入电网对需求侧资源造成显著影响。此外，电动汽车的V2G技术引入更多的不确定性，给综合能源系统的优化调度带来巨大挑战。针对该问题，提出一种在碳交易机制下，考虑需求响应来匹配源荷两侧功率平衡的双层优化调度策略。采用多场景法考虑风光出力的不确定性，利用需求响应优化获得日前电动汽车的用能负荷，并将其作为下层电动汽车实时调度的决策变量，最后引入凸优化算法实时计算得到电动汽车的充放电策略。算例仿真结果表明，在所构建的优化调度模型下，系统负荷峰谷差降低了9.04%
实现了较明显的削峰填谷效果，同时提高了系统的经济效益。
Abstract
In recent years
the large-scale integration of electric vehicles into the power grid has significantly impacted the demand-side resources. Furthermore
the introduction of V2G technology in electric vehicles adds more uncertainties
posing significant challenges to the optimal scheduling of integrated energy systems. Aiming to solve this problem
a bi-level optimization scheduling strategy is proposed under a carbon trading mechanism
considering demand response to balance power supply and demand. A multi-scenario approach is employed to account for the uncertainty of wind and solar power output
and demand response optimization is utilized to determine the day-ahead energy load of EVs
which serves as a critical decision variable for real-time dispatching of EVs at the lower level. Finally
convex optimization algorithms are applied to obtain real-time EV charging and discharging strategies. Simulation results indicate that the proposed optimization scheduling model reduces the system's peak-to-valley load difference by 9.04%
effectively achieving peak shaving and valley filling while enhancing the economic efficiency of the system.
关键词
Keywords
references
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