计及多时间尺度需求响应资源的微电网能量优化调度策略

doi:10.3969/j.issn.1000-7229.2018.08.002

电力建设 ›› 2018, Vol. 39 ›› Issue (8): 9-17.doi: 10.3969/j.issn.1000-7229.2018.08.002

计及多时间尺度需求响应资源的微电网能量优化调度策略

刘宝林1, 周少雄2，陈燿圣3，杨苹3

1.云南电网有限责任公司,昆明市650011；2.深圳合纵能源技术有限公司，广东省深圳市518000；3.广东省绿色能源技术重点实验室，华南理工大学电力学院，广东省广州市 510640

出版日期:2018-08-01
作者简介:刘宝林（1980），男，硕士，高级工程师，主要从事节能与新能源研究工作；周少雄（1985），男，硕士，主要研究方向为大型风电控制系统研制；陈燿圣（1993），男，通信作者，硕士研究生，主要研究方向为主动配电网规划技术；杨苹（1967），女，教授，博士生导师，主要研究方向为新能源发电及并网控制技术。
基金资助:
中国南方电网有限责任公司科技项目（YNKJXM20160244）；广东省科技计划项目（2016B020245001）

Optimal Energy Dispatching Strategy for Microgrid Considering Multi-Scale Demand Response Resources

LIU Baolin1, ZHOU Shaoxiong2, CHEN Yaosheng3, YANG Ping3

1.Yunnan Power Grid Co., Ltd., Kunming 650011, China；2.Shenzhen Hupzon Energy Technology Co., Ltd., Shenzhen 518000, Guangdong Province, China；3. Guangdong Key Laboratory of Clean Energy Technology, School of Electric Power, South China University of Technology, Guangzhou 510640, China

Online:2018-08-01
Supported by:
This work is supported by China Southern Power Grid Company Limited Research Program（No.YNKJXM20160244） and Science and Technology Project of Guangdong Province （No.2016B020245001）.

摘要/Abstract

摘要： 随着电力体制改革的深入，用户侧微电网逐渐形成多方投资+集中管控的运营模式，研究计及运营商利益的微电网能量优化具有重要的现实意义。文章提出一种以运营商购售电收益最大化和需求响应补偿成本最小化为目标的微电网能量优化调度策略。该策略计及需求响应多时间尺度特性，将集群空调和集群电动汽车2种需求响应资源纳入日前-日内-实时3种时间尺度调度计划中，并根据各阶段可再生能源预测信息以及电价信号，逐级优化储能出力和需求响应供应量，实现运营商的全局利益最大化。负荷聚集商基于集群空调和集群电动汽车的控制模型预测各时段可控负荷容量并实时响应调度指令。最后，通过算例验证本文所提调度策略的有效性。

关键词: 微电网, 能量优化调度, 需求响应, 多时间尺度

Abstract: With the deepening of the power system reform, the operation mode of multi investment and centralized management has been formed in the user-side microgrid. It is of great practical significance to study the energy optimization of microgrid considering the interests of operators. In this paper, the optimal energy dispatching strategy for microgrid is proposed, which aims at maximizing the income of the operators purchasing and selling electricity and minimizing the demand response compensation cost. Considering the multi-time scale characteristics of demand response, this strategy brings two demand response resources, i.e. aggregated air conditioning and electric vehicles, into three different time scales dispatching plan （namely day-ahead, in-day, and real-time dispatch）, and optimizes the energy storage system output and demand response supply step by step to realize the global benefit maximization of the operators. Load aggregator predicts controllable capacity of load in each period and takes response dispatch in real time, on the basis of the control model of aggregated air conditioning and electric vehicles. Finally, the test results have verified the effectiveness of the proposed method.

Key words: microgrid, optimal energy dispatching, demand response, multi-time scale

中图分类号:

TM 72

刘宝林, 周少雄，陈燿圣，杨苹. 计及多时间尺度需求响应资源的微电网能量优化调度策略[J]. 电力建设, 2018, 39(8): 9-17.

LIU Baolin, ZHOU Shaoxiong, CHEN Yaosheng, YANG Ping. Optimal Energy Dispatching Strategy for Microgrid Considering Multi-Scale Demand Response Resources[J]. Electric Power Construction, 2018, 39(8): 9-17.

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计及多时间尺度需求响应资源的微电网能量优化调度策略

Optimal Energy Dispatching Strategy for Microgrid Considering Multi-Scale Demand Response Resources

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