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

黄宇; 李对; 李旭昕; 高鹏

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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

更新时间：2026-02-03

- 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
- Vol. 53, Issue 1, Pages: 12-22(2026)
- 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：
- DOI：
  CLC： U491.8;TM73;TK01
- Published：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.
[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. DOI：

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. DOI：

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.

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references

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