Application Status and Development Trend of Power Consumption Information Collection System

Zhu, Enguo; Li, Xuan; Ye, Aliaosha

doi:10.2991/emeit.2012.396

Cited by 12 publications

(10 citation statements)

References 3 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Only if the demand side and supply side are equally treated, a stable electricity grid could be formed. Some studies [11]- [13] have pointed that the development of advanced metering infrastructure, modern control and optimization and wireless communication technologies lay a foundation for the demand response on the control of the demand side by supply side.…”

Section: Introductionmentioning

confidence: 99%

The Power Simulation of Water-Cooled Central Air-Conditioning System Based on Demand Response

Kang

Wang

et al. 2020

IEEE Access

View full text Add to dashboard Cite

With rapid development of smart grid, terminal power load is paid more and more attention, especially that of air conditioning system, which constitute an integral part of summer peak electricity load. In this paper, through controlling indoor air temperature deduced by equivalent thermal parameters-model, daily energy consumption and energy consumption during peak hours can be adjusted and reduced to realize demand side management. To reduce peak load of grid and ensure stable and reliable operation of grid, four temperature control strategies, including constant setting temperature control strategy, pre-cooling control strategy, curtailment control strategy and improved curtailment control strategy were proposed. Meanwhile, three operation schemes of the chiller were also employed. Furthermore, considering the power consumption and curtailment, five indicators including hourly average load, hourly average load ratio, energy saving ratio, load-shedding ratio during peak hours and coefficient of performance (COP) have been proposed to evaluate the performance. Results showed that the operation scheme of operating numbers control obtained better effect. Energy saving ratio was highest of 32.5% with curtailment control strategy, while load-shedding ratio during peak hours was optimal with improved curtailment control strategy. However, COP was maximum at 3.66 when pre-cooling control strategy was employed. This study can guide the operation of water-cooled air conditioning system through energy saving ratio and COP, also it has more benefits on economy of power system by hourly average load and load-shedding ratio. INDEX TERMS Load management, temperature control, power demand, operations research.

show abstract

Section: Introductionmentioning

confidence: 99%

The Power Simulation of Water-Cooled Central Air-Conditioning System Based on Demand Response

Kang

Wang

et al. 2020

IEEE Access

View full text Add to dashboard Cite

show abstract

“…Many scholars at home and abroad have analyzed the behaviors of electricity users. For example, Hu et al [2] improved the k-means clustering (KMC) to expound the electricity consumption of users. Based on cloud computing platform, Shuai et al [3] realized clustering analysis of electricity consumption behaviors under the framework of distributed program, using a smart user collection system.…”

Section: Introductionmentioning

confidence: 99%

A Smart and Safe Electricity Consumption Model for Integrated Energy System Based on Electric Big Data

Liu¹,

Tong²,

Li³

et al. 2020

IJSSE

View full text Add to dashboard Cite

In the integrated energy system, the smart and safe electricity consumption requires complex computation and faces high safety risk. To solve the problem, this paper designs a smart and safe electricity consumption model for integrated energy system based on electric big data. Firstly, an aggregate return index was designed based on clustering degree and dispersion degree to automatically optimize the number of classes, and facilitate the k-means clustering (KMC). Next, the optimization criterion for the behavior features of smart and safe electricity consumption was proposed, in which the effectiveness and correlations of the features are measured by the amount of mutual information and the degree of correlation, respectively. After that, the authors put forward a feature optimization strategy for smart and safe electricity consumption behaviors. By this strategy, effective and independent features were selected to form a simplified feature set for the clustering of smart and safe electricity consumption behaviors. On this basis, a smart and safe electricity consumption model was presented for integrated energy system. The effectiveness of our model was confirmed through example analysis.

show abstract

“…With the rapid development of smart grid, the automation in power distribution networks are gradually improved [1,2]. The data collection in distribution network comes down to the common customers.…”

Section: Introductionmentioning

confidence: 99%

Research and Application of Power Consumers Behavior Analysis Based on K-means Algorithm

Yang

Hao²,

Zhang³

2018

Proceedings of the 2018 7th International Conference on Energy, Environment and Sustainable Development (ICEESD 2018)

View full text Add to dashboard Cite

K-means algorithm is used to analyze pretreated monthly load data of power consumers from a certain domestic area in China. It can get different clusters in three months, and those can be roughly divided power consumers into different types, such as residents, businesses and factories based on power customers' behavior analysis. A measure is introduced to evaluate the reliability of the algorithm. According to the above clustering results, it can be found out that the power consumption characteristics of all kinds of consumers in the corresponding months. In view of these characteristics, this paper can play a guiding role in formulating the corresponding power service strategy for different types of power consumers in power supply companies.

show abstract

Application Status and Development Trend of Power Consumption Information Collection System

Cited by 12 publications

References 3 publications

The Power Simulation of Water-Cooled Central Air-Conditioning System Based on Demand Response

The Power Simulation of Water-Cooled Central Air-Conditioning System Based on Demand Response

A Smart and Safe Electricity Consumption Model for Integrated Energy System Based on Electric Big Data

Research and Application of Power Consumers Behavior Analysis Based on K-means Algorithm

Contact Info

Product

Resources

About