Hybrid Grid-Connected Renewable Energy Sources Powered Microgrid with Demand Response

Author(s):  
Nnamdi Nwulu ◽  
Saheed Lekan Gbadamosi
Energies ◽  
2021 ◽  
Vol 14 (24) ◽  
pp. 8273
Author(s):  
Adrian Tantau ◽  
András Puskás-Tompos ◽  
Costel Stanciu ◽  
Laurentiu Fratila ◽  
Catalin Curmei

Consumer behaviour in the energy field is playing a more important role in the new approach dominated by the proliferation of renewable energy sources. In this new context, the grid has to balance the intermittent and uncertain renewable energy generated, and find solutions, also, on the consumer side for increasing the stability and reliability of the energy system. The main de-mand response solutions are price and incentive based, but there is a need to identify the main factors which can influence their efficiency due to the fact that there is a lack of knowledge about the preferences of consumers. The main goal of this article is to identify the main demand response solutions and the related key factors which influence the participation of consumers in demand response programs and may contribute to the spread of renewable energy sources. For this research, semi-structured interviews were organised with experts in energy from Romania, Hungary and Serbia, as well as workshops with experts in energy, and an online survey with customers for electricity. This article reduces the gap between the results of technical studies, related in demand response programs, and their practical implementations, where the consumer behaviour and its social dimensions are neglected even though, in reality, they are playing the main role. The results suggest that the consumer’s participation in demand response programs is highly influenced by different aspects related to the promotion of the renewable energy and the reduction of CO2 emissions and the global warming impact.


Energies ◽  
2021 ◽  
Vol 14 (16) ◽  
pp. 4839
Author(s):  
Diego B. Vilar ◽  
Carolina M. Affonso

This paper proposes a novel dynamic pricing scheme for demand response with individualized tariffs by consumption profile, aiming to benefit both customers and utility. The proposed method is based on the genetic algorithm, and a novel operator called mutagenic agent is proposed to improve algorithm performance. The demand response model is set by using price elasticity theory, and simulations are conducted based on elasticity, demand, and photovoltaic generation data from Brazil. Results are evaluated considering the integration effects of renewable energy sources and compared with other two pricing strategies currently adopted by Brazilian utilities: flat tariff and time-of-use tariff. Simulation results show the proposed dynamic tariff brings benefits to both utilities and consumers. It reduces the peak load and average cost of electricity and increases utility profit and load factor without the undesirable rebound effect.


2019 ◽  
Vol 101 (2) ◽  
pp. 421-442 ◽  
Author(s):  
Velamuri Suresh ◽  
S. Sreejith ◽  
Suresh Kumar Sudabattula ◽  
Vikram Kumar Kamboj

Sign in / Sign up

Export Citation Format

Share Document