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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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

Received: 18 June 2022

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	Liu Zhiwei
	Miao Shihong
	Yang Weichen
	Yao Fuxing
	Wang Tingtao

Cite this article:

Liu Zhiwei,Miao Shihong,Yang Weichen等. Generalized Energy Storage Hierarchical Regulation Strategy for Distribution Network Considering Temperature Uncertainty[J]. Transactions of China Electrotechnical Society, 2023, 38(21): 5794-5807.

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https://dgjsxb.ces-transaction.com/EN/10.19595/j.cnki.1000-6753.tces.221152 OR https://dgjsxb.ces-transaction.com/EN/Y2023/V38/I21/5794

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