考虑广义储能集群参与的配电网协同控制策略

doi:10.12204/j.issn.1000-7229.2021.08.011

电力建设 ›› 2021, Vol. 42 ›› Issue (8): 89-98.doi: 10.12204/j.issn.1000-7229.2021.08.011

考虑广义储能集群参与的配电网协同控制策略

刘洋¹, 李立生¹, 刘志伟², 苗世洪², 张世栋¹, 张林利¹

1.国网山东省电力公司电力科学研究院,济南市 250002
2.华中科技大学电气与电子工程学院强电磁工程与新技术国家重点实验室,电力安全与高效湖北省重点实验室,武汉市 430074

收稿日期:2021-01-21 出版日期:2021-08-01 发布日期:2021-07-30
作者简介:刘洋(1988),男,博士,高级工程师,主要研究方向为配电网运行控制技术;
李立生(1973),男,硕士,高级工程师,主要研究方向为配电网技术;
刘志伟(1998),男,硕士研究生,通信作者,主要从事广义储能的建模与控制研究工作;
苗世洪(1963),男,博士,教授,博导,主要研究方向为电力系统保护、控制及计算,储能系统应用等;
张世栋(1983),男,博士,高级工程师,主要研究方向为智能配电网技术;
张林利(1979),男,博士,高级工程师,主要研究方向为配电网故障分析、配电网保护与自动化。
基金资助:
国网山东省电力公司科技项目资助(52062620004H)

Cooperative Control Strategy of Distribution Network Considering Generalized Energy Storage Cluster Participation

LIU Yang¹, LI Lisheng¹, LIU Zhiwei², MIAO Shihong², ZHANG Shidong¹, ZHANG Linli¹

1. State Grid Shandong Electric Power Research Institute, Jinan 250002, China
2. State Key Laboratory of Advanced Electromagnetic Engineering and Technology, Hubei Electric Power Security and High Efficiency Key Laboratory, School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan 430074, China

Received:2021-01-21 Online:2021-08-01 Published:2021-07-30
Supported by:
State Grid Shandong Electric Power Company Science and Technology Project Funding(52062620004H)

摘要/Abstract

摘要：

随着需求响应技术的发展,温控负荷、电动汽车等具有灵活调控特性的需求侧资源可作为广义储能参与孤岛配电网的功率波动平抑控制。文章面向空调与电动汽车两类典型的广义储能,提出一种考虑广义储能集群参与的配电网协同控制策略。首先,以负荷聚合商作为控制中心,构建了多元广义储能集群控制架构;其次,分别建立了空调集群与电动汽车集群的广义储能控制模型,在空调群内,计及各空调受控次数的差异,提出改进温度优先序列控制策略,在电动汽车群内,提出了基于荷电状态的功率分配策略;随后,根据空调集群与电动汽车集群的功率响应特性,提出了一种基于低通滤波的多元广义储能协同控制策略;最后,基于Matlab/Simulink的仿真结果验证了所提控制策略的有效性。

关键词: 功率波动平抑, 广义储能, 空调负荷, 电动汽车, 协同控制策略

Abstract:

With the development of demand response technology, demand-side resources with flexible regulation characteristics such as temperature-controlled loads and electric vehicles can be used as generalized energy storage to participate in the control of power fluctuations in island distribution networks. This paper is oriented to two types of generalized energy storage, air conditioners and electric vehicles, and proposes a collaborative control strategy for distribution network that considers the participation of generalized energy storage clusters. Firstly, the load aggregator is used as the control center to build a multi-dimensional generalized energy storage cluster control architecture. Secondly, the generalized energy storage control model for the air-conditioning cluster and the electric vehicle cluster is established separately, and the number of controlled times of each air-conditioning is considered in the air-conditioning group. In the electric vehicle group, a power distribution strategy based on the state of charge is proposed. Then, according to the power response characteristics of the air-conditioning cluster and the electric vehicle cluster, a low-pass filtering-based multiple generalized energy storage coordinated control strategy is given. Finally, the simulation results based on Matlab/Simulink verify the effectiveness of this control strategy.

Key words: power fluctuation suppression, generalized energy storage, air-conditioning load, electric vehicle, cooperative control strategy

中图分类号:

TM73

刘洋, 李立生, 刘志伟, 苗世洪, 张世栋, 张林利. 考虑广义储能集群参与的配电网协同控制策略[J]. 电力建设, 2021, 42(8): 89-98.

LIU Yang, LI Lisheng, LIU Zhiwei, MIAO Shihong, ZHANG Shidong, ZHANG Linli. Cooperative Control Strategy of Distribution Network Considering Generalized Energy Storage Cluster Participation[J]. ELECTRIC POWER CONSTRUCTION, 2021, 42(8): 89-98.

图/表 18

图1 多元广义储能集群控制框架

Fig.1 Control framework of multivariate generalized energy storage cluster

图2 空调负荷等效热参数模型

Fig.2 Equivalent thermal parameter model of air-conditioning load

图3 空调负荷动态过程

Fig.3 Dynamic process of air-conditioning load

图4 温度优先序列算法示意图

Fig.4 Schematic of temperature priority sequence algorithm

图5 电动汽车充放电约束

Fig.5 Electric vehicle charging and discharging constraints

图6 电动汽车可控容量

Fig.6 Controllable capacity of electric vehicle

图7 广义储能协同控制策略

Fig.7 Cooperative control strategy of generalized energy storage

图8 仿真系统结构

Fig.8 Structure of the simulation system

表1 空调-建筑系统参数

Table 1 Parameters of air-conditioning and building system

表2 电动汽车参数

Table 2 Electric vehicle parameters

图9 功率比例分配策略

Fig.9 Proportional power distribution strategy

图10 风电及常规负荷功率曲线

Fig.10 Wind power and conventional load power curve

图11 空调与电动汽车集群功率变化

Fig.11 Power of air-conditioning and electric vehicle clusters

图12 协同控制策略仿真结果对比

Fig.12 Comparison of simulation results of cooperative control strategies

图13 室内温度变化

Fig.13 Indoor temperature variation

图14 电动汽车SOC变化

Fig.14 SOC changes of electric vehicle

图15 不同积分参数下频率变化

Fig.15 Frequency changes under different integration parameters

表3 空调最大最小启停次数

Table 3 Maximum and minimum start and stop times of air-conditioner

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考虑广义储能集群参与的配电网协同控制策略

Cooperative Control Strategy of Distribution Network Considering Generalized Energy Storage Cluster Participation

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