scholarly journals Acceptance of Demand Response and Aggregators as a Solution to Optimize the Relation between Energy Producers and Consumers in Order to Increase the Amount of Renewable Energy in the Grid

Energies ◽  
2021 ◽  
Vol 14 (12) ◽  
pp. 3441
Author(s):  
Adrian Tantau ◽  
András Puskás-Tompos ◽  
Laurentiu Fratila ◽  
Costel Stanciu
Keyword(s):  
Renewable Energy ◽  
Demand Response ◽  
Electricity Market ◽  
Online Survey ◽  
Renewable Energy Sources ◽  
Electrical Energy ◽  
Structured Interviews ◽  
New Development ◽  
Demand Response Programs

Demand response plays a very important role in balancing the intermittent production of an increasing share of renewable energy sources on the energy market. This article analyses the importance of demand response and the role of aggregators for the new development of the electricity market, where the renewables will play a more important role. The main objective of this research is to determine the acceptance level of demand response and its implementation on the energy consumer side. This acceptance should include a professional actor, the aggregator which is assuming the role of optimizing the relation between energy producers and consumers, and to monitor the implementation and use of demand response. The research is based on semi-structured interviews with experts in energy from Hungary, Romania and Serbia, on workshops with experts and a wider online survey with end customers for electricity. The results indicate that there is a willingness potential to implement demand response programs with aggregators as intermediaries between energy providers and end consumers of electrical energy.

scholarly journals Key Factors Which Contribute to the Participation of Consumers in Demand Response Programs and Enable the Proliferation of Renewable Energy Sources

Energies ◽  
2021 ◽  
Vol 14 (24) ◽  
pp. 8273
Author(s):  
Adrian Tantau ◽  
András Puskás-Tompos ◽  
Costel Stanciu ◽  
Laurentiu Fratila ◽  
Catalin Curmei
Keyword(s):  
Renewable Energy ◽  
Demand Response ◽  
Online Survey ◽  
Consumer Behaviour ◽  
Renewable Energy Sources ◽  
Energy System ◽  
Energy Sources ◽  
Main Role ◽  
Key Factors ◽  
Demand Response Programs

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.

scholarly journals Integrating Demand Response and Renewable Energy In Wholesale Market

2018 ◽  
Author(s):  
Chaojie Li ◽  
Chen Liu ◽  
Xinghuo Yu ◽  
Ke Deng ◽  
Tingwen Huang ◽  
...  
Keyword(s):  
Renewable Energy ◽  
Demand Response ◽  
Electricity Market ◽  
Stochastic Game ◽  
Renewable Energy Sources ◽  
Game Model ◽  
Renewable Energy Resources ◽  
Wholesale Market ◽  
Policy Makers ◽  
Optimal Energy

 Demand response (DR) can provide a cost-effect approach for reducing peak loads while renewable energy sources (RES) can result in an environmental-friendly solution for solving the problem of power shortage. The increasingly integration of DR and renewable energy bring challenging issues for energy policy makers, and electricity market regulators in the main power grid. In this paper, a new two-stage stochastic game model is introduced to operate the electricity market, where Stochastic Stackelberg-Cournot-Nash (SSCN) equilibrium  is applied to characterize the optimal energy bidding strategy of the forward market and the optimal energy trading strategy of the spot market. To obtain a SSCN equilibrium, sampling average approximation (SAA) technique is harnessed to address the stochastic game model in a distributed way. By this game model, the participation ratio of demand response can be significantly increased while the unreliability of power system caused by renewable energy resources can be considerably reduced. The effectiveness of proposed model is illustrated by extensive simulations.

scholarly journals Transition towards Sustainable Energy

2020 ◽  
Author(s):  
Hendro Wicaksono
Keyword(s):  
Renewable Energy ◽  
Information And Communication Technologies ◽  
Demand Response ◽  
Smart Grids ◽  
Renewable Energy Sources ◽  
Communication Technologies ◽  
Power Grids ◽  
Energy Potential ◽  
Information And Communication ◽  
Demand Response Programs

The presentation describes the comparison of energy consumption and generation between Germany and Indonesia. It shows then the potential of renewable energy potential in Indonesia and the estimation of their utilization by 2030. The introduction of renewable energy sources in power grids requires the integration of information and communication technologies. The presentation explains the integration through smart grids and demand response programs.

scholarly journals Estimating the Impact of Electric Vehicle Demand Response Programs in a Grid with Varying Levels of Renewable Energy Sources: Time-of-Use Tariff versus Smart Charging

Energies ◽  
2020 ◽  
Vol 13 (17) ◽  
pp. 4365 ◽  
Author(s):  
Wooyoung Jeon ◽  
Sangmin Cho ◽  
Seungmoon Lee
Keyword(s):  
Renewable Energy ◽  
Cost Saving ◽  
Electric Vehicle ◽  
Demand Response ◽  
Renewable Energy Sources ◽  
Vehicle To Grid ◽  
Smart Charging ◽  
Smart Control ◽  
Vehicle Demand ◽  
Demand Response Programs

An increase in variable renewable energy sources and soaring electricity demand at peak hours undermines the efficiency and reliability of the power supply. Conventional supply-side solutions, such as additional gas turbine plants and energy storage systems, can help mitigate these problems; however, they are not cost-effective. This study highlights the potential value of electric vehicle demand response programs by analyzing three separate scenarios: electric vehicle charging based on a time-of-use tariff, smart charging controlled by an aggregator through virtual power plant networks, and smart control with vehicle-to-grid capability. The three programs are analyzed based on the stochastic form of a power system optimization model under two hypothetical power system environments in Jeju Island, Korea: one with a low share of variable renewable energy in 2019 and the other with a high share in 2030. The results show that the cost saving realized by the electric vehicle demand response program is higher in 2030 and a smart control with vehicle-to-grid capability provides the largest cost saving. When the costs of implementing an electric vehicle demand response are considered, the difference in cost saving between the scenarios is reduced; however, the benefits are still large enough to attract customers to participate.

On Energy Status indicators and the role of renewableEnergy under Economic Crisis

2014 ◽  
pp. 92-105
Author(s):  
P. Bezrukikh ◽  
P. Bezrukikh (Jr.)
Keyword(s):  
Renewable Energy ◽  
World Economy ◽  
Electrical Energy ◽  
Primary Energy ◽  
Primary Energy Consumption ◽  
Energy Status ◽  
Economy Growth ◽  
The World ◽  
Production Regime

The article analyzes the dynamics of consumption of primary energy and production of electrical energy in the world for 1973-2012 and the volume of renewable energy. It is shown that in the crisis year of 20 0 9 there was a significant reduction in primary energy consumption and production of electrical energy. At the same time, renewable energy has developed rapidly, well above the rate of the world economy growth. The development of renewable energy is one of the most effective ways out of the crisis, taking into account its production regime, energy, environmental, social and economic efficiency. The forecast for the development of renewable energy for the period up to 2020, compiled by the IEA, is analyzed. It is shown that its assessment rates are conservative; the authors justify higher rates of development of renewable energy.

scholarly journals Analyzing Trade in Continuous Intra-Day Electricity Market: An Agent-Based Modeling Approach

Energies ◽  
2021 ◽  
Vol 14 (13) ◽  
pp. 3860
Author(s):  
Priyanka Shinde ◽  
Ioannis Boukas ◽  
David Radu ◽  
Miguel Manuel de Manuel de Villena ◽  
Mikael Amelin
Keyword(s):  
Renewable Energy ◽  
Electricity Market ◽  
Power Plants ◽  
Renewable Energy Sources ◽  
Thermal Power ◽  
Agent Based Modeling ◽  
Market Liquidity ◽  
Energy Sources ◽  
Modeling Framework ◽  
Agent Based

In recent years, the vast penetration of renewable energy sources has introduced a large degree of uncertainty into the power system, thus leading to increased trading activity in the continuous intra-day electricity market. In this paper, we propose an agent-based modeling framework to analyze the behavior and the interactions between renewable energy sources, consumers and thermal power plants in the European Continuous Intra-day (CID) market. Additionally, we propose a novel adaptive trading strategy that can be used by the agents that participate in CID market. The agents learn how to adapt their behavior according to the arrival of new information and how to react to changing market conditions by updating their willingness to trade. A comparative analysis was performed to study the behavior of agents when they adopt the proposed strategy as opposed to other benchmark strategies. The effects of unexpected outages and information asymmetry on the market evolution and the market liquidity were also investigated.

scholarly journals A Sizing Method for PV–Battery–Generator Systems for Off-Grid Applications Based on the LCOE

Energies ◽  
2021 ◽  
Vol 14 (7) ◽  
pp. 1988
Author(s):  
Ioannis E. Kosmadakis ◽  
Costas Elmasides
Keyword(s):  
Renewable Energy ◽  
Energy Demand ◽  
Renewable Energy Sources ◽  
Temporal Distribution ◽  
Electrical Energy ◽  
Optimal Number ◽  
Diesel Generator ◽  
Levelized Cost Of Electricity ◽  
Sufficient Power ◽  
Battery Energy

Electricity supply in nonelectrified areas can be covered by distributed renewable energy systems. The main disadvantage of these systems is the intermittent and often unpredictable nature of renewable energy sources. Moreover, the temporal distribution of renewable energy may not match that of energy demand. Systems that combine photovoltaic modules with electrical energy storage (EES) can eliminate the above disadvantages. However, the adoption of such solutions is often financially prohibitive. Therefore, all parameters that lead to a functionally reliable and self-sufficient power generation system should be carefully considered during the design phase of such systems. This study proposes a sizing method for off-grid electrification systems consisting of photovoltaics (PV), batteries, and a diesel generator set. The method is based on the optimal number of PV panels and battery energy capacity whilst minimizing the levelized cost of electricity (LCOE) for a period of 25 years. Validations against a synthesized load profile produced grid-independent systems backed by different accumulator technologies, with LCOEs ranging from 0.34 EUR/kWh to 0.46 EUR/kWh. The applied algorithm emphasizes a parameter of useful energy as a key output parameter for which the solar harvest is maximized in parallel with the minimization of the LCOE.

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