Electricity Consumption Behaviors and Clustering of Distribution Grids in Terms of Demand Response

2022-01-01
Cetinkaya, Umit
Avcı, Ezgi
BAYINDIR, RAMAZAN
Show full item record
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
144
views
0
downloads
Knowing of energy consumption behaviors and similarities between consumers becomes extremely important for electric power systems operators to apply green energy trends by ensuring the stability and flexibility of the grid. Especially in the modern power systems and the energy markets, consumer-based market structures must be implemented. Consumer types, energy needs, and demand behaviors of the distribution grid can affect cumulatively the demand behavior of the full electricity system. Thus, understanding the consumption behaviors and similarities among different distribution grid operator can provide a significant advantage in determining the types and applications of demand response activities in terms of the transmission grid. In this study, the consumption of distribution grids analyzes statistically according to the consumer types (like residential, commercial, industrial), and to identify the consumption similarities making clustering analysis. For this reason, first, the total consumption reflected on the transmission grid is examined periodically concerning the distribution grids. Second, we group distribution grids by consumption similarity using past real consumption data using a MATLAB application developed. A data-driven regional demand aggregation approach is shown together with the cluster analysis. Finally, the demand response potential got from distribution loads has been evaluated.
distribution grid, electricity consumption behaviors, clustering analysis, demand response, ENERGY-CONSUMPTION, RENEWABLE ENERGY, SEGMENTATION, GENERATION, MANAGEMENT, clustering analysis, demand response, distribution grid, electricity consumption behaviors
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85141437072&origin=inward
https://hdl.handle.net/11511/101407
Electric Power Components and Systems
Graduate School of Applied Mathematics, Article

Suggestions

Electricity market modeling using stochastic and robust optimization
Yıldırım, Miray Hanım; Wilhelm Weber, Gerhard; Türker Bayrak, Özlem; Department of Scientific Computing (2015)
Sustainable development relying on sustainable and renewable energy systems is becoming one of the major policies of many countries. This forces the policy makers to establish many reforms and revolutions, which evolve electricity markets into a more competitive form. The competitive environment results in surging electricity demand and supply that brings in a critical challenge: uncertainty. In this thesis, the uncertainties with respect to prices and demand in the market are explored by using stochastic p...
Electricity price forecasting using hybrid time series models
Taş, Büşra; Yozgatlıgil, Ceylan; Department of Statistics (2018)
Accurate forecasting of hourly electricity price is very important in a competitive market. Decision makers highly benefit from accurate forecasting. Because electricity cannot be stored, shocks to demand or supply affect the electricity prices. As a result, electricity prices show high volatility. Additionally, it may have multiple levels of seasonality. Therefore, forecasting with conventional methods is very difficult. In this study, hybrid models are constructed with Seasonal Autoregressive Integrated M...
Smart grid applications and technologies in distribution systems
Pehlivanoğlu Gürbüz, Kübra; Sevaioğlu, Osman; Department of Electrical and Electronics Engineering (2019)
Smart grid control purposes to rise the percentage of energy production through alternative energy sources like renewable resources and to make consumers to be comprehended in grid actively, is realising importance day by day. Further to that it can help us employment opportunities and improving growth in addition to keep the power on at minimum cost to prosumers, while the participation is elucidated and enabled new products, service and markets, accommodating all generation and storage options and provide...
Energy efficiency and rebound effect for household gas consumption: evidence from Ankara
Yılmaz, Zehra İlknur; Sarı, Ramazan; Department of Earth System Science (2019)
Increasing energy demand and concerns about energy security and climate change have led to energy efficiency to become one of the important energy policy objectives in many countries. It is conceived that energy efficiency improvements will decrease energy consumption and CO2 emissions. However, actual efficiency savings are often less than projected savings because of consumer behavior. This concept is known as the rebound effect which is an important factor to be considered while estimating results of ene...
Short-Term Electricity Consumption Forecast using Datasets of Various Granularities
ARSLAN, YUSUF; ŞİMŞEK DİLBAZ, AYBİKE; Ertekin Bolelli, Şeyda; Karagöz, Pınar; Birtürk, Ayşe Nur; Eren, Sinan; KÜÇÜK, DİLEK (2018-09-10)
It is widely known that the generation and consumption of electricity should be balanced for secure operation and maintenance of the electricity grid. In order to help achieve this balance in the grid, the renewable energy resources such as wind and stream-flow should be forecast at high accuracies on the generation side, and similarly, electricity consumption should be forecast using a high-performance system. In this paper, we deal with short-term electricity consumption forecast in Turkey, and conduct va...
Citation Formats
U. Cetinkaya, E. Avcı, and R. BAYINDIR, “Electricity Consumption Behaviors and Clustering of Distribution Grids in Terms of Demand Response,” Electric Power Components and Systems, pp. 0–0, 2022, Accessed: 00, 2023. [Online]. Available: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85141437072&origin=inward.
METU IIS - Integrated Information Service open@metu.edu.tr