Game Theory Application for Finding Optimal Operating Point of Multi-production System Under Fluctuations of Renewable and Various Load Levels

Author(s):  
Hossein Nezamabadi ◽  
Vahid Vahidinasab ◽  
Saeed Salarkheili ◽  
Vahid Hosseinnezhad ◽  
Hamidreza Arasteh
Solar Energy ◽  
2021 ◽  
Vol 221 ◽  
pp. 46-59
Author(s):  
Wanderley Sena dos Santos ◽  
Pedro Ferreira Torres ◽  
Alaan Ubaiara Brito ◽  
Alex Renan Arrifano Manito ◽  
Gilberto Figueiredo Pinto Filho ◽  
...  

2015 ◽  
Vol 4 ◽  
pp. 271-281 ◽  
Author(s):  
Marianthi V. Podimata ◽  
Panayotis C. Yannopoulos

2016 ◽  
Vol 52 (1) ◽  
pp. 59-76
Author(s):  
Paweł Pisany

Abstract This article presents and assesses the methodology and results of a comparative analysis conducted by Bruno Amable in financial systems and corporate governance in the context of current policy and regulatory challenges. The article, which is based on a literature review and game theory examples, first describes and evaluates the methodology and final classification given by Amable. The role of Amable’s core concept; namely, institutional complementarity, is underlined. A game theory application in comparative institutional studies is then presented, including the author’s own “institutional game.” Finally, we assess Amable’s achievements in financial systems and corporate governance, concluding that they are valuable, innovative and useful despite some (perhaps justified) criticisms of the framework Amable used. In particular, the value of introducing institutional complementarity into comparative studies should not be underestimated. The analysis presented here suggests that Amable’s methodology may also be applicable when designing current financial reforms in the EU, especially European Capital Markets Union (CMU), because it can broaden policy maker’s horizons and promote consistent solutions.


2019 ◽  
Vol 17 (1) ◽  
pp. 370-379
Author(s):  
Oksana Korolovych ◽  
Olha Chabaniuk ◽  
Natalia Ostapiuk ◽  
Yurii Kotviakovskyi ◽  
Nelia Gut

The conditions for doing business at this stage are often similar in a game in which you need to calculate your actions a few steps ahead. At the same time, it is important to highlight several possible current options and make the necessary decision at the control moment. Moreover, each of the options formed should be justified, understandable and take into account the risk factors and available resources.Today, the main problem of assessing and minimizing the risk of “unfriendly takeover” is due to the fact that in most cases the raider is a player who acts quite legitimately and relies on the loopholes of the current legislative framework. Therefore, it is easier to identify possible actions of the raider and to avoid them within the limits of the reverse game than to deal with the consequences.The purpose of the research is to study the specificity of the individualized assessment and minimization of the risk of “unfriendly takeover” by using elements of game theory.It has been taken into account that the effect of individualization in assessing the risk of unfriendly takeover of enterprises can possibly be achieved on the basis of the application of game theory, the elements of which provide simulation of the unfriendly takeover process within the mathematical description of the inherent combinations of attack/defence as if they actually occurred in time both within one state of the external environment and for their given set.The results allowed forming mathematical decision-making models based on the elements of the antagonistic game “raider-target enterprise” and “raider games with the external environment”, which proved the possibility to: 1) identify possible functions of wins/losses; 2) combinations of attacks that can be neglected (that is, from the point of view of the rationality of decisions, will be rejected by the raider); 3) the ranking of the raider’s “attack combinations” for the reliability of their use during “unfriendly takeover”. Under such conditions, the target company can provide not only a detailed assessment, but also an effective minimization of the risk of “unfriendly takeover” and allocate the best combination of protection.


Author(s):  
Murari Lal Azad ◽  
Pradip Kumar Sadhu ◽  
P Arvind ◽  
Anagh Gupta ◽  
Tuhin Bandyopadhyay ◽  
...  

<p class="Abstract">Distributed Generation source have wide application due to their phenomenal advantages. These sources include Photovoltaic (PV) cells producing DC voltage at their output that connects the network through a power electronic interface. PV characteristics, on the other hand, illustrate the fact that maximum power can be extracted at the optimal operating point depending upon the solar radiation and ambient temperature. In order to keep   the PV module at its optimal operating point, a DC-DC converter is often used between a PV module and inverter. Consequently, Maximum power point trackers (MPPT) grab the foremost position in the efficiency analysis of the global PV system. Among the several MPPT algorithms, Incremental Conduction technique isemphasised upon as it is extremely simple in implementation within electronic programmable circuits. This paper incorporates the MPPT model using a PV module that always works in its optimal operating point. Design and experimental results of a small prototype of MPPT is presented here based on the Simulink model to verify the advantages of proposed integrated system.</p>


2018 ◽  
Vol 400 ◽  
pp. 183-189
Author(s):  
Jae-Do Park ◽  
Md Habib Ullah ◽  
Timberley M. Roane ◽  
Muhannad Alaraj ◽  
Feng Shuo

Sign in / Sign up

Export Citation Format

Share Document