Applied TOU program to control electricity peak demand under demand side response model

Author(s):  
Marwan Marwan ◽  
Muhammad Dihyah Marwan ◽  
Muhammad Anshar ◽  
Jamal Jamal ◽  
Aksan Aksan ◽  
...  
2014 ◽  
Vol 24 (6) ◽  
pp. 782-789 ◽  
Author(s):  
Marwan Marwan ◽  
Gerard Ledwich ◽  
Arindam Ghosh

2013 ◽  
Vol 860-863 ◽  
pp. 2447-2451
Author(s):  
Jiang Li

Demand-side management is a long-term strategic systems engineering which consistent with sustainable development requirements. According to the process of power companies and users participant of demand-side response, this article constructs the demand-side response with the principle of maximize benefits, while taking a regional electricity load as an example, which analysis the changing relationship between electricity price, incentive measures and users demand based on the measurements implementation of price and stimulating two demand-side responses of this area.


Energies ◽  
2021 ◽  
Vol 14 (2) ◽  
pp. 287
Author(s):  
Jerzy Andruszkiewicz ◽  
Józef Lorenc ◽  
Agnieszka Weychan

Demand side response is becoming an increasingly significant issue for reliable power systems’ operation. Therefore, it is desirable to ensure high effectiveness of such programs, including electricity tariffs. The purpose of the study is developing a method for analysing electricity tariff’s effectiveness in terms of demand side response purposes based on statistical data concerning tariffs’ use by the consumers and price elasticity of their electricity demand. A case-study analysis is presented for residential electricity consumers, shifting the settlement and consequently the profile of electricity use from a flat to a time-of-use tariff, based on the comparison of the considered tariff groups. Additionally, a correlation analysis is suggested to verify tariffs’ influence of the power system’s peak load based on residential electricity tariffs in Poland. The presented analysis proves that large residential consumers aggregated by tariff incentives may have a significant impact on the power system’s load and this impact changes substantially for particular hours of a day or season. Such efficiency assessment may be used by both energy suppliers to optimize their market purchases and by distribution system operators in order to ensure adequate generation during peak load periods.


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