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

doi:10.12204/j.issn.1000-7229.2022.05.008

Abstract

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

CLC Number:

TM73

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.

Figures/Tables 9

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

Fig.2 Flowchart of emergency energy management strategy

Table 1 Parameters of controllable load

Fig.3 Forecast load and PV power generation

Fig.4 User power under each plan during power outage

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

Table 2 The objective function value of each example

Fig.6 Emergency energy management results from Scheme 2

Fig.7 Emergency energy management results from Scheme 3

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