Yazar "Tavakkoli-Moghaddam, R." seçeneğine göre listele

Listeleniyor 1 - 2 / 2
  • Küçük Resim Yok
    Öğe
    A Mathematical Model for Resource Sharing with Bilateral Contracts in a Supply Chain with Government Intervention under a Game Theory Approach
    (Materials and Energy Research Center, 2024) Einy-Sarkalleh, G.R.; Tavakkoli-Moghaddam, R.; Hafezalkotob, A.; Najafi, S.E.
    Contracts have been used for coordination in many supply chain alliances among businesses. Because bilateral contracts are significantly more successful and profitable than uni-contracts, In this article, the issues of implementing bilateral contracts are investigated with the approach of game theory and government intervention to increase bilateral interaction between members of co-production and codistribution in the supply chain. By adopting the game theory model between these two members of the chain and intervention government, this research seeks to increase production and distribution by making maximum use of the excess capacity of production and distribution in the chain. In this way, the producer uses his surplus capacity in two ways: one is produced directly by the producer and enters the market by the distributor, and the other is an order that the distributor gives to the producer, which is different from the product that the producer produces. It is produced directly and given by the distributor. The purpose of this research is to investigate and analyze the amounts and profits resulting from the participation of production and distribution with government intervention in the supply chain. According to this research, governments should provide an environment for supply chain members to have more cooperation with each other because, in the case of cooperation among supply chain members, the profits of the chain and the members will increase. © 2024 Materials and Energy Research Center. All rights reserved.
  • Küçük Resim Yok
    Öğe
    A two-stage risk-based framework for dynamic configuration of a renewable-based distribution system considering demand response programs and hydrogen storage systems
    (Elsevier Ltd, 2024) Mojaradi, Z.; Tavakkoli-Moghaddam, R.; Bozorgi-Amiri, A.; Heydari, J.
    Distribution feeder reconfiguration (DFR) in distribution systems can enhance operating conditions by reducing losses and improving voltage indices. This paper introduces a dual-stage risk-based framework that concurrently tackles day-ahead reconfiguration and microgrid scheduling within the distribution network. To control the negative aspects of uncertainties, the proposed framework integrates energy storage systems (ESS/HSS) and demand response programs (DRPs) at the network level, enhancing adaptability. The initial stage of the proposed model employs the AC power flow model, utilizing loss and voltage deviation functions as objective benchmarks for network reconfiguration. The scheduling is meticulously executed per interval, deriving optimized structures under diverse scenarios with the aid of a case reduction technique (CRT) to streamline solutions. The ultimate solution employs the grey wolf optimization (GWO) algorithm and CPLEX solver in the first and second stages respectively. Outcomes from applying this approach to the adjusted 118-bus network manifest improved operational conditions and voltage quality through reconfiguration. Impressively, the integration of ESS/HSS and DRPs yields a substantial 22.34% reduction in total operating costs, a conclusion substantiated by the numerical findings. Furthermore, by leveraging the CRT, a remarkable 56.17% reduction in problem-solution time is achieved. © 2024 Hydrogen Energy Publications LLC