scholarly journals Multiagent Simulation of Demand Flexibility Integration in Local Energy Markets

2021 ◽  
Vol 239 ◽  
pp. 00010
Author(s):  
Tiago Pinto ◽  
Nathalia Boeno ◽  
Zita Vale ◽  
Everthon Sica
Keyword(s):  
Distributed Generation ◽  
Electricity Market ◽  
Energy Systems ◽  
Energy Markets ◽  
Primary Sources ◽  
Local Energy ◽  
Multiagent Simulation ◽  
Market Structures ◽  
Power And Energy Systems ◽  
Power And Energy

Overcoming the issues associated with the variability of renewable generation has become a constant challenge in power and energy systems. The use of load flexibility is one of the most promising ways to face it. Suitable ways to incorporate flexibility in the electricity market, in addition to the already challenging integration of distributed generation primary sources, are therefore crucial. The integration of prosumers and consumers flexibility in the market is, however, not straightforward, as current wholesale and retail market structures are not prepared to deal with the current and future needs of the system. Several models for local energy markets have been studied and experimented; but there it is still not clear what is the most efficient way to integrate the dynamic participation of demand flexibility in this type of local markets.

scholarly journals Introduction: the mathematics of energy systems

2021 ◽  
Vol 379 (2202) ◽  
pp. 20190425
Author(s):  
Pierluigi Mancarella ◽  
John Moriarty ◽  
Andy Philpott ◽  
Almut Veraart ◽  
Stan Zachary ◽  
...  
Keyword(s):  
Time Scales ◽  
Interdisciplinary Research ◽  
Energy Systems ◽  
Energy Markets ◽  
Theme Issue ◽  
Isaac Newton ◽  
Isaac Newton Institute ◽  
Mathematical Sciences ◽  
Power And Energy Systems ◽  
Power And Energy

The urgent need to decarbonize energy systems gives rise to many challenging areas of interdisciplinary research, bringing together mathematicians, physicists, engineers and economists. Renewable generation, especially wind and solar, is inherently highly variable and difficult to predict. The need to keep power and energy systems balanced on a second-by-second basis gives rise to problems of control and optimization, together with those of the management of liberalized energy markets. On the longer time scales of planning and investment, there are problems of physical and economic design. The papers in the present issue are written by some of the participants in a programme on the mathematics of energy systems which took place at the Isaac Newton Institute for Mathematical Sciences in Cambridge from January to May 2019—see http://www.newton.ac.uk/event/mes . This article is part of the theme issue ‘The mathematics of energy systems’.

scholarly journals Optimal Control of Smart Distributed Power and Energy Systems

Energies ◽  
2021 ◽  
Vol 15 (1) ◽  
pp. 3
Author(s):  
Giulio Ferro ◽  
Michela Robba ◽  
Roberto Sacile
Keyword(s):  
Optimal Control ◽  
Renewable Energy ◽  
Distributed Generation ◽  
Smart Grids ◽  
Energy Systems ◽  
Energy Resources ◽  
Renewable Energy Resources ◽  
Management Techniques ◽  
Power And Energy Systems ◽  
Power And Energy

The increase in intermittent renewable energy resources and distributed generation has led to the need for developing new controllers and management techniques for smart grids [...]

scholarly journals Special Issue on Recent Advances for Intelligence in Power and Energy Systems

2021 ◽  
Vol 51 (4) ◽  
pp. 2036-2040
Author(s):  
Ratnesh Kumar ◽  
Thomas I. Strasser ◽  
Geert Deconinck ◽  
Chun Sing Lai ◽  
Loi Lei Lai
Keyword(s):  
Energy Systems ◽  
Special Issue ◽  
Recent Advances ◽  
Power And Energy Systems ◽  
Power And Energy

scholarly journals Metaheuristic Optimization of Power and Energy Systems: Underlying Principles and Main Issues of the ‘Rush to Heuristics’

Energies ◽  
2020 ◽  
Vol 13 (19) ◽  
pp. 5097
Author(s):  
Gianfranco Chicco ◽  
Andrea Mazza
Keyword(s):  
Global Optimization ◽  
Specific Problem ◽  
Optimization Problems ◽  
Energy Systems ◽  
Progressive Increase ◽  
Metaheuristic Algorithms ◽  
Metaheuristic Algorithm ◽  
Power And Energy Systems ◽  
Power And Energy ◽  
Better Than

In the power and energy systems area, a progressive increase of literature contributions that contain applications of metaheuristic algorithms is occurring. In many cases, these applications are merely aimed at proposing the testing of an existing metaheuristic algorithm on a specific problem, claiming that the proposed method is better than other methods that are based on weak comparisons. This ‘rush to heuristics’ does not happen in the evolutionary computation domain, where the rules for setting up rigorous comparisons are stricter but are typical of the domains of application of the metaheuristics. This paper considers the applications to power and energy systems and aims at providing a comprehensive view of the main issues that concern the use of metaheuristics for global optimization problems. A set of underlying principles that characterize the metaheuristic algorithms is presented. The customization of metaheuristic algorithms to fit the constraints of specific problems is discussed. Some weaknesses and pitfalls that are found in literature contributions are identified, and specific guidelines are provided regarding how to prepare sound contributions on the application of metaheuristic algorithms to specific problems.

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