Energy-Optimal Control of an Automotive Air Conditioning System for Ancillary Load Reduction

Zhang, Quansheng; Stockar, Stephanie; Canova, Marcello

doi:10.1007/978-3-319-33590-2_10

Cited by 6 publications

(3 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Based on this, the frequency change of the microgrid is shown in Figure 15. By contrast, the adjustment result of the state-queuing method based on [14] is also shown in Figure 15. The frequency fluctuation of the microgrid and the time to stabilize in different control scenarios are shown in Table 6.…”

Section: Determination Of Dr Target When Frequency Fluctuatingmentioning

confidence: 98%

“…However, the long-term control could not be optimized. Reference [14] proposed a control strategy considering load reduction and rebound suppression based on a state-queuing model of air conditioner. However, the state-queuing model needs to recognize the real-time operating state of air conditioning.…”

Section: Introductionmentioning

confidence: 99%

“…All of the above constitute a complete DLC strategy of aggregated IAC load to regulate the frequency of the microgrid. It can be seen from the above content that, compared with the strategy in [14], the biggest advantage of the strategy proposed in this paper is that it avoids precise identification of the operating state space. This strategy only needs to read the setting temperature data, which greatly improves the feasibility.…”

mentioning

confidence: 99%

See 2 more Smart Citations

Genetic Algorithm Based Temperature-Queuing Method for Aggregated IAC Load Control

et al. 2022

View full text Add to dashboard Cite

In recent years, demand response (DR) has played an increasingly important role in maintaining the safety, stability and economic operation of power grid. Due to the continuous running state and extremely fast speed of response, the aggregated inverter air conditioning (IAC) load is considered as the latest and most ideal object for DR. However, it is easy to cause load rebound when the aggregated IAC load participates in DR. Existing methods for controlling air conditioners to participate in DR cannot meet the following three requirements at the same time: basic DR target, load rebound suppression, and users’ comfort. Therefore, this paper has proposed a genetic algorithm based temperature-queuing control method for aggregated IAC load control, which could suppress load rebound under the premise of ensuring the DR target and take users’ comfort into account. Firstly, the model of the aggregated IAC load is established by the Monte Carlo method. Then the start and end time of DR are selected as the main solution variables. A genetic algorithm is used as the solving tool. The simulation results show that the proposed strategy shows better performance in suppressing load rebound. In the specific application scenario of adjusting the frequency fluctuation of the microgrid, the results of the case show that this strategy can effectively control the frequency fluctuation of the microgrid. The effectiveness of the strategy is verified.

show abstract

Section: Determination Of Dr Target When Frequency Fluctuatingmentioning

confidence: 98%

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

See 1 more Smart Citation