| 引用本文: | 傅质馨,李紫嫣,朱俊澎,等.面向多用户的多时间尺度电力套餐与家庭能量优化策略[J].电力系统保护与控制,2022,50(11):22-31.[点击复制] |
| FU Zhixin,LI Ziyan,ZHU Junpeng,et al.Multi-user multi-timescale power packages and home energy optimization strategies[J].Power System Protection and Control,2022,50(11):22-31[点击复制] |
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| 摘要: |
| 在智能互联网环境下，居民用户参与需求响应时的不确定因素对家庭能量管理调度策略的实施效果存在较大影响。为此，提出了一种计及用户响应不确定性的多时间尺度可变电价套餐和用电策略。首先，明确多时段可变电力套餐的定义，基于价格型和激励型响应不确定性机理构建电力套餐的模型，并建立完成聚类后的多用户与电网的模型。其次，通过求解基于多用户和电网的非合作和合作博弈模型，获得最优的电价方案和日前优化计划。然后，根据需求响应信息和用户用电安排建立日内滚动优化模型，获得局部动态分时电价和日内调度计划。最后，根据用户实际响应偏差建立实时调整模型，获得动态激励和实时用电计划。以多家庭用户调度组为例进行仿真分析，通过比较不同模型优化结果，验证了考虑用户响应不确定性的电力套餐及多时间尺度协调优化的有效性。 |
| 关键词: 需求响应 家庭能量管理 多时间尺度 电力套餐 不确定性 博弈模型 |
| DOI：DOI: 10.19783/j.cnki.pspc.210975 |
| 投稿时间：2021-07-27修订日期：2021-08-19 |
| 基金项目:国家自然科学基金青年项目资助(51807051);江苏省自然科学基金青年项目资助(BK20180507) |
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| Multi-user multi-timescale power packages and home energy optimization strategies |
| FU Zhixin,LI Ziyan,ZHU Junpeng,YUAN Yue |
| (1. College of Energy and Electrical Engineering, Hohai University, Nanjing 211100, China; 2. Research Center for
Renewable Energy Generation Engineering of Ministry of Education, Hohai University, Nanjing 211100, China) |
| Abstract: |
| In the smart internet, the response uncertainty of residential users has a great influence on the implementation of a home energy management strategy. A multi-time variable electric price package and electricity consumption strategy are proposed considering the response uncertainty. First, the multi-time power package is defined, and the power package model is built by a price-based and an incentive-based uncertainty mechanism. The model of multi-user after clustering and grid are established. Secondly, by analyzing cooperative and non-cooperative game models based on multi-user and the grid, an optimal electric price and day-ahead plan are obtained. Then, according to the response demand and users’ electricity consumption management, a rolling intraday optimization model is established, and the local dynamic TOU and intraday scheduling plan are obtained. Finally, a real-time model is established according to the actual response deviation to obtain dynamic excitation and a real-time electricity use plan. Taking a multi-home user dispatching group as an example, simulation and analysis are carried out. By comparing the optimization results of different models, the effectiveness of the power package and multi-time scale optimization strategy considering the response uncertainty is verified.
This work is supported by the Youth Fund of National Natural Science Foundation of China (No. 51807051). |
| Key words: demand response home energy management multi-time scales price package uncertainty game model |
