面向智能用电的家庭能量协同调度策略

WANG Shouxiang

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面向智能用电的家庭能量协同调度策略

更新时间：2025-08-13

- 面向智能用电的家庭能量协同调度策略
- Automation of Electric Power Systems Vol. 39, Issue 17, Pages: 108-113(2015)
- 作者机构：
  
  智能电网教育部重点实验室, 天津大学,天津市,300072
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2015
- 稿件说明：
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WANG Shouxiang. [J]. Automation of electric power systems, 2015, 39(17): 108-113.
DOI：

WANG Shouxiang. [J]. Automation of electric power systems, 2015, 39(17): 108-113. DOI：

摘要

针对用户侧分布式能源渗透率不断提高的发展趋势

提出一种包含光伏及储能设备的家庭能量协同调度策略。首先建立了家庭能量管理系统中的分布式电源模型和负荷模型

并提出了基于日前光伏出力预测和家庭负荷预测的家庭能量协同调度模型。然后

在满足用户舒适度约束的条件上

以家庭能源最大盈利为目标

采用二进制粒子群算法求解每日家庭最优用电计划

提高了可再生能源的利用率并做到光伏发电的最大就地消纳。最后

通过算例仿真比较不同用电模式下的用户收益

验证了模型的有效性。

Abstract

Considering the increasing tendency of penetration of distributed generators on the customer side

a co-scheduling strategy of home energy management with photovoltaic systems and energy storage devices is proposed.A distributed generation model and a load model for home energy management system are developed first

and then the co-scheduling strategy model of home energy management is presented based on day-ahead PV output prediction and load forecast. Household energy profit is maximized through optimal daily household consumption plans for improving the utilization of renewable energy and achieving the great degree of PV power consumption. The binary particle swarm algorithm is adopted and user comfort constraints are considered. The user benefits under different power utilization models are compared in case studies and the results show the model’s effectiveness. This work is supported by National Basic Research Program of China （973 Program） (No. 2013CB228203) and National Natural Science Foundation of China (No. 51361135704

No. 51377115).

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