Stackelberg Game Theory Based Energy Management Systems in the Presence of Renewable Energy Sources

2021 ◽  
pp. 1-10
Author(s):  
Akash Talwariya ◽  
Pushpendra Singh ◽  
Mohan Lal Kolhe
Keyword(s):  
Game Theory ◽  
Renewable Energy ◽  
Energy Management ◽  
Stackelberg Game ◽  
Renewable Energy Sources ◽  
Management Systems ◽  
Energy Sources ◽  
Energy Management Systems

scholarly journals An Inventive Method for Eco-Efficient Operation of Home Energy Management Systems

Energies ◽  
2018 ◽  
Vol 11 (11) ◽  
pp. 3091 ◽  
Author(s):  
Bilal Hussain ◽  
Nadeem Javaid ◽  
Qadeer Hasan ◽  
Sakeena Javaid ◽  
Asif Khan ◽  
...  
Keyword(s):  
Renewable Energy ◽  
Energy Management ◽  
Renewable Energy Sources ◽  
Management Systems ◽  
Efficient Operation ◽  
Power Sources ◽  
Trade Off ◽  
Energy Management Systems ◽  
Trade Offs ◽  
Home Energy Management

A demand response (DR) based home energy management systems (HEMS) synergies with renewable energy sources (RESs) and energy storage systems (ESSs). In this work, a three-step simulation based posteriori method is proposed to develop a scheme for eco-efficient operation of HEMS. The proposed method provides the trade-off between the net cost of energy ( C E n e t ) and the time-based discomfort ( T B D ) due to shifting of home appliances (HAs). At step-1, primary trade-offs for C E n e t , T B D and minimal emissions T E M i s s are generated through a heuristic method. This method takes into account photovoltaic availability, the state of charge, the related rates for the storage system, mixed shifting of HAs, inclining block rates, the sharing-based parallel operation of power sources, and selling of the renewable energy to the utility. The search has been driven through multi-objective genetic algorithm and Pareto based optimization. A filtration mechanism (based on the trends exhibited by T E M i s s in consideration of C E n e t and T B D ) is devised to harness the trade-offs with minimal emissions. At step-2, a constraint filter based on the average value of T E M i s s is used to filter out the trade-offs with extremely high values of T E M i s s . At step-3, another constraint filter (made up of an average surface fit for T E M i s s ) is applied to screen out the trade-offs with marginally high values of T E M i s s . The surface fit is developed using polynomial models for regression based on the least sum of squared errors. The selected solutions are classified for critical trade-off analysis to enable the consumer choice for the best options. Furthermore, simulations validate our proposed method in terms of aforementioned objectives.

scholarly journals Robust 24 Hours ahead Forecast in a Microgrid: A Real Case Study

Electronics ◽  
2019 ◽  
Vol 8 (12) ◽  
pp. 1434 ◽  
Author(s):  
Alfredo Nespoli ◽  
Marco Mussetta ◽  
Emanuele Ogliari ◽  
Sonia Leva ◽  
Luis Fernández-Ramírez ◽  
...  
Keyword(s):  
Energy Management ◽  
Renewable Energy Sources ◽  
Power Production ◽  
Measured Data ◽  
Management Systems ◽  
Energy Sources ◽  
Energy Management Systems ◽  
New Energy ◽  
Accurate Procedure

Forecasting the power production from renewable energy sources (RESs) has become fundamental in microgrid applications to optimize scheduling and dispatching of the available assets. In this article, a methodology to provide the 24 h ahead Photovoltaic (PV) power forecast based on a Physical Hybrid Artificial Neural Network (PHANN) for microgrids is presented. The goal of this paper is to provide a robust methodology to forecast 24 h in advance the PV power production in a microgrid, addressing the specific criticalities of this environment. The proposed approach has to validate measured data properly, through an effective algorithm and further refine the power forecast when newer data are available. The procedure is fully implemented in a facility of the Multi-Good Microgrid Laboratory (MG L a b 2 ) of the Politecnico di Milano, Milan, Italy, where new Energy Management Systems (EMSs) are studied. Reported results validate the proposed approach as a robust and accurate procedure for microgrid applications.

scholarly journals The Energy System of an Ecovillage: Barriers and Enablers

Land ◽  
2021 ◽  
Vol 10 (7) ◽  
pp. 682
Author(s):  
Zita Szabó ◽  
Viola Prohászka ◽  
Ágnes Sallay
Keyword(s):  
Renewable Energy ◽  
Spatial Structure ◽  
Energy Management ◽  
Energy Production ◽  
Renewable Energy Sources ◽  
Energy System ◽  
Energy Sources ◽  
Energy Management System ◽  
Production And Consumption ◽  
Ecologically Sustainable

Nowadays, in the context of climate change, efficient energy management and increasing the share of renewable energy sources in the energy mix are helping to reduce greenhouse gases. In this research, we present the energy system and its management and the possibilities of its development through the example of an ecovillage. The basic goal of such a community is to be economically, socially, and ecologically sustainable, so the study of energy system of an ecovillage is especially justified. As the goal of this community is sustainability, potential technological and efficiency barriers to the use of renewable energy sources will also become visible. Our sample area is Visnyeszéplak ecovillage, where we examined the energy production and consumption habits and possibilities of the community with the help of interviews, literature, and map databases. By examining the spatial structure of the settlement, we examined the spatial structure of energy management. We formulated development proposals that can make the community’s energy management system more efficient.

scholarly journals Energy Management In Converter-Interfaced Renewable Energy Sources Through Ultracapacitors For Provision Of Ancillary Services

2021 ◽  
Author(s):  
Andrei Mihai Gross ◽  
Kyriaki-Nefeli Malamaki ◽  
Manuel Barragan-Villarejo ◽  
Georgios C. Kryonidis ◽  
Francisco Jesus Matas-Diaz ◽  
...  
Keyword(s):  
Renewable Energy ◽  
Energy Management ◽  
Renewable Energy Sources ◽  
Ancillary Services ◽  
Energy Sources

IoE-Based Control and Monitoring of Electrical Grids

2019 ◽  
pp. 57-82 ◽  
Author(s):  
Nelson Pinto ◽  
Dario Cruz ◽  
Jânio Monteiro ◽  
Cristiano Cabrita ◽  
Jorge Semião ◽  
...  
Keyword(s):  
Renewable Energy ◽  
Energy Management ◽  
Renewable Energy Sources ◽  
Monitoring And Control ◽  
Monitoring And Control System ◽  
Energy Management Systems ◽  
Management Measures ◽  
Electrical Grids ◽  
And Control ◽  
Levels Of Integration

In many countries, renewable energy production already represents an important percentage of the total energy that is generated in electrical grids. In order to reach higher levels of integration, demand side management measures are yet required. In fact, different from the legacy electrical grids, where at any given instant the generation levels are adjusted to meet the demand, when using renewable energy sources, the demand must be adapted in accordance with the generation levels, since these cannot be controlled. In order to alleviate users from the burden of individual control of each appliance, energy management systems (EMSs) have to be developed to both monitor the generation and consumption patterns and to control electrical appliances. In this context, the main contribution of this chapter is to present the implementation of such an IoT-based monitoring and control system for microgrids, capable of supporting the development of an EMS.

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