计及温度不确定性的配电网广义储能分层调控策略

doi:10.19595/j.cnki.1000-6753.tces.221152

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摘要

为发挥空调负荷的调控潜力,该文将变频空调视为广义储能,提出一种计及温度不确定性的配电网广义储能分层调控策略。首先,建立变频空调广义储能模型,基于广义储能特征参数,将广义储能聚合为多个集群。在此基础上,构建广义储能集群分层调控框架,将广义储能调控分为广义储能集群调控与广义储能群内调控两层。在广义储能集群调控层面,提出配电网广义储能集群分布鲁棒优化调控策略,避免了室外温度不确定性影响用户舒适度;在广义储能群内调控层面,提出了广义储能集群群内功率分配策略,实现广义储能等效荷电状态变化的一致性。最后,基于改进的IEEE 33节点系统开展算例仿真,仿真结果表明所提的调控策略在保障用户舒适度和调控公平性的前提下降低了配电网的运行成本,提高了可再生能源的消纳水平。

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关键词 ：广义储能, 变频空调, 不确定性, 分层调控

Abstract：

The air-conditioning load has the ability to store thermal energy, and can be converted into generalized energy storage through direct load control, which can effectively promote the consumption of renewable energy and improve the economics of the distribution network. However, most of the existing researches on the control strategy of air-conditioning load ignore the influence of ambient temperature uncertainty on the thermodynamic process of the air-conditioning room, which could not guarantee user's comfort. Aiming at this problem, this paper proposes a generalized energy storage hierarchical regulation strategy for distribution network considering temperature uncertainty.
Firstly, a generalized energy storage model is established, and the generalized energy storage is aggregated into multiple clusters based on the characteristic parameters. On this basis, a hierarchical regulation framework is constructed, and generalized energy storage regulation is divided into two layers: generalized energy storage cluster regulation and generalized energy storage regulation. At the generalized energy storage cluster regulation layer, aiming at the lowest operating cost of the distribution network, a distribution network generalized energy storage cluster distributionally robust optimization model is established. Distributionally robust chance constraints are used to deal with the uncertainty of outdoor temperature, and are transformed into deterministic linear constraints to realize the effective solution of the model. At the generalized energy storage regulation layer, aiming at the consistency of the equivalent state of charge of each generalized energy storage in the cluster, a power distribution model within the generalized energy storage cluster is established.
The simulation results based on the improved IEEE 33 node system show that when the generalized energy storage cluster can not be controlled, the abandonment of wind energy and solar energy in the system is large, the network loss is high, and the total operating cost is 8 758.61 \$. While when controlling generalized energy storage clusters, the cost of abandoning wind energy and solar energy in the system is significantly reduced, the cost of network loss is lower, and the total operating cost is reduced to 8 700.80 \$. Comparing the simulation results without considering the uncertainty of outdoor temperature, the average user's comfort level increases from 80.41% to 99.71% when the outdoor temperature uncertainty is considered. In addition, according to the power distribution results in the generalized energy storage cluster, the power of each generalized energy storage in the cluster has a similar trend of change, and the equivalent state of charge tends to be consistent.
The following conclusions can be drawn from the simulation analysis: (1) Controlling the inverter air-conditioning as generalized energy storage can effectively reduce the operating cost of the distribution network and improve consumption rate of renewable energy. (2) The proposed generalized energy storage cluster distributionally robust optimization strategy can effectively avoid the indoor temperature exceeding the limit caused by the uncertainty of outdoor temperature, thereby ensuring user's comfort. (3) The proposed generalized energy storage cluster power distribution strategy can achieve consistent changes in the equivalent state of charge of each generalized energy storage, thereby ensuring the fairness of control.

Key words： Generalized energy storage inverter air-conditioning uncertainty hierarchical regulation

收稿日期: 2022-06-18

PACS:

TM73

基金资助:

国家电网有限公司总部管理科技项目资助（5419-202199551A-0-5-ZN）

通讯作者: 苗世洪男,1963年生,教授,博士生导师,研究方向为电力系统保护、控制及计算,储能系统及应用、配电网及微电网新技术等。E-mail：shmiao@hust.edu.cn

作者简介: 刘志伟男,1998年生,硕士研究生,研究方向为广义储能的建模于控制、微电网的控制等。E-mail：liuzhiwei_hust@126.com

引用本文:

刘志伟, 苗世洪, 杨炜晨, 姚福星, 王廷涛. 计及温度不确定性的配电网广义储能分层调控策略[J]. 电工技术学报, 2023, 38(21): 5794-5807. Liu Zhiwei, Miao Shihong, Yang Weichen, Yao Fuxing, Wang Tingtao. Generalized Energy Storage Hierarchical Regulation Strategy for Distribution Network Considering Temperature Uncertainty. Transactions of China Electrotechnical Society, 2023, 38(21): 5794-5807.

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