云储能用户在计划停电下的应急能源管理策略

doi:10.12204/j.issn.1000-7229.2022.05.008

电力建设 ›› 2022, Vol. 43 ›› Issue (5): 72-78.doi: 10.12204/j.issn.1000-7229.2022.05.008

云储能用户在计划停电下的应急能源管理策略

陈恩玲¹, 王向文¹(), 贾明潇¹, 孙充²

1.上海电力大学电子与信息工程学院, 上海市 201306
2.国网上海市电力公司松江供电公司,上海市 201600

收稿日期:2021-09-14 出版日期:2022-05-01 发布日期:2022-04-29
作者简介:陈恩玲(1997),女,硕士研究生,研究方向为智能电网与微电网能源调度。
王向文(1978),男,博士,副教授,研究生导师,研究方向为智能电网信号处理,数据压缩,视频图像通信,嵌入式系统设计等,E-mail: wxw21st@163.com。
贾明潇(1997),女,硕士研究生,研究方向为微电网的能源调度。
孙充(1997),男,硕士,研究方向为微电网电能管理和智能电网算法研究。
基金资助:
国家自然科学基金项目(61401269);国家自然科学基金项目(61601282)

Emergency Energy Management Strategy for Cloud Energy-Storage Users under Planned Power Outages

CHEN Enling¹, WANG Xiangwen¹(), JIA Mingxiao¹, SUN Chong²

1. College of Electronics and Information Engineering, Shanghai University of Electric Power, Shanghai 201306, China
2. State Grid Shanghai Songjiang Power Supply Company, Shanghai 201600, China

Received:2021-09-14 Online:2022-05-01 Published:2022-04-29
Supported by:
National Natural Science Foundation of China(61401269);National Natural Science Foundation of China(61601282)

摘要/Abstract

摘要：

在配电网发生计划停电的情况下,基于云储能的家庭微电网进入孤岛运行状态,考虑到云储能用户可用储能容量有限以及可再生能源出力的不确定性,提出应急能源管理策略以减小用户停电损失和用户不满意度。首先,将云储能分为供电储能和交易储能,供电储能的容量可以保证计划停电期间用户重要负荷的供电;其次,以减小用户停电损失和用户不满意度为目标建立应急能源管理模型,引入权重因子以衡量二者的重要程度,然后采用遗传算法对模型进行求解,得到的最优解即为用户的应急能源优化调度方案;最后,通过实验仿真对比验证了所提优化策略能够有效减小用户停电损失,同时降低用户不满意度。

关键词: 计划停电, 云储能, 家庭微电网, 应急能源管理

Abstract:

In the case of planned power outage in the distribution network, the home microgrid based on cloud energy storage enters the island operation state. Considering the limited available energy storage capacity of cloud energy-storage users and the uncertainty of renewable energy output, the strategy of emergency energy management is proposed to reduce user’s power outage loss and user dissatisfaction. Firstly, the cloud energy storage is divided into power storage and transaction storage. The capacity of the power storage can ensure the power supply of user’s important loads during the planned power outage; Secondly, the emergency energy management model is established with the goal of reducing user power outage loss and user dissatisfaction, and the weight factors is introduced to measure the importance of the two. Then the genetic algorithm is used to solve the model, and the optimal solution is the optimal scheduling scheme for user’s emergency energy. Finally, it is verified through experimental simulation that the proposed optimization strategy can effectively reduce user power outage loss and user dissatisfaction.

Key words: planned power outage, cloud energy storage, home microgrid, emergency energy management

中图分类号:

TM73

陈恩玲, 王向文, 贾明潇, 孙充. 云储能用户在计划停电下的应急能源管理策略[J]. 电力建设, 2022, 43(5): 72-78.

CHEN Enling, WANG Xiangwen, JIA Mingxiao, SUN Chong. Emergency Energy Management Strategy for Cloud Energy-Storage Users under Planned Power Outages[J]. ELECTRIC POWER CONSTRUCTION, 2022, 43(5): 72-78.

图/表 9

图1 孤岛状态下家庭微电网的云储能模型

Fig.1 Cloud energy storage model of household microgrid in island state

图2 应急能源管理策略流程

Fig.2 Flowchart of emergency energy management strategy

表1 可控负荷参数

Table 1 Parameters of controllable load

图3 预测负荷和光伏发电功率

Fig.3 Forecast load and PV power generation

图4 停电期间各方案下的用户功率

Fig.4 User power under each plan during power outage

图5 方案2和方案3的供电储能组蓄电池动作

Fig.5 Battery operation of energy storage discharge group in scheme 2 and 3

表2 各方案的目标函数值

Table 2 The objective function value of each example

图6 方案2应急能源管理结果

Fig.6 Emergency energy management results from Scheme 2

图7 方案3应急能源管理结果

Fig.7 Emergency energy management results from Scheme 3

参考文献 16

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云储能用户在计划停电下的应急能源管理策略

Emergency Energy Management Strategy for Cloud Energy-Storage Users under Planned Power Outages

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[2]	崔仪，刘念，陈奇芳. 商业楼宇型微网的应急能量管理策略[J]. 电力建设, 2016, 37(10): 16-.