Majlesi Journal of Energy Management
Volume:11 Issue: 3, Sep 2022

Blockchain technology has attracted the attention of many organizations for operation control and planning in the energy industry. This technology provides a comprehensive solution for user access and energy trading for the Internet of Distributed Energy. Energy providers attracting capital and facilitating the promotion of renewable energies are the goals of the blockchain network. These goals are based on the procedures of centralized exchanges and blockchain digital currencies designed for the energy trading cryptocurrency platform (CETP) and the authorized blockchain to the energy blockchain platform (EBP). And energy digital currency exchange (ECE) divided. By using Energy Blockchain Digital Currencies (EBC) as a trading medium, this platform allows foreign bidders to participate in transactions that attract social capital for use in developing the Internet of Energy and stabilizing energy market prices. It helps that the Internet promotes energy. In this article, when introducing the blockchain network to its application in the electricity industry (energy distribution companies), we will examine the challenges related to using this technology and provide measures to manage them.

With the expansion of the electricity distribution network in developing countries like Iran, the trend of occupational accidents in this industry is increasing in recent years. In Iran, about 14,000 occupational accidents occur every year, and the occurrence of these types of accidents also affects the index. Economic problems will also bring human losses. The most factors that cause accidents in distribution companies are individual, organizational and environmental factors. In this article, the above-mentioned factors are analyzed using the Analytical Hierarchy Method (AHP) by EXPERTCHOICE software, and the criteria and sub-criteria are ranked based on the weight of the criteria.

Silicon is one of the best hyperelastic materials which is very suitable for fabricating medical insoles especially for diabetic patients given its special mechanical and chemical properties. However, silicon insoles suffer from shortcomings, one of which is heavy perspiration during the usage, which is not very suitable for diabetic patients. In this research, in order to confer antibacterial properties and for better absorption of medical silicon insole, nano strontium oxide with the percentages of 0.03, 0.05, and 0.07% was added to the silicon, after which antibacterial tests plus humidity measurement were performed on the insoles. The test results indicated that upon adding the nano strontium oxide, the humidity absorption percentage for adding 0.03, 0.05, and 0.07% of nano strontium oxide was reported 5.45, 10.36, and 14.54% respectively. On the other hand, the pure silicon without the nano material showed only 2.3% humidity absorption. Further, according to the antibacterial test, no microbe was observed in any of the insoles to which a nano strontium oxide had been added. Thus, apart from the geometry and material of the substrate which play a significant role in medical insole applications, adding suitable nanomaterials can also improve their properties.

This work presents an intelligent control of an asynchronous generator (AG)-based dual-rotor wind power system under different working conditions. AG faces two major drawbacks; Fluctuating output power and low voltage riding capacity. To improve the current quality, smooth the output power injected into the electric grid, improve the dynamic behavior of the AG under corresponding voltage drop, and keep the AG connected to the electric grid, an intelligent control scheme is used. Simulations were performed using Matlab software, and the results showed the effectiveness of our intelligent control compared to the classical strategy.

in this work, a comprehensive description of design procedure of a grid-connected photovoltaic system comprising of modeling photovoltaic cells and DC-DC Ćuk is addressed theoretically and experimentally. For this purpose, a sliding mode controller is proposed for voltage control (VC) and current control (CC) of the system of interest. Additionally, the input filter is eliminated because of DC-DC Ćuk converter's topology. It's demonstrated an instance of an embedded coils in input-output structure of Ćuk converter, maximum power point tracking (MPPT) applications is highly improved, compared to the other techniques. MPPT is executed in grid-connected photovoltaic system with using the perturbation and observation (P&O) algorithm and closed loop sliding mode control (SMC). Due to non-linearity of the system, using a SMC can maintain the stability of the converter in wide-ranging of variants in solar radiation, customer loads, etc. In the recommended SMC, only input voltage and capacitive filter current are operated as feedback signals and, thus, the design method is done without considering the model of converter. The proposed photovoltaic system's efficiency carried out via simulations in MATLAB/SIMULINK is validated by an experimental prototype.

In this article, the problem of exploiting a virtual power plant in the common market and energy storage is discussed. The proposed strategy is a non-equilibrium model based on the price-based unit commitment (PBUC) that considers the supply and demand balance limitations and the security constraints of VPP. The presented model with the parameters of each energy source, which is part of the VPP, creates a single operational profile and puts network limitations in its description of portfolio capabilities. The presented model is nonlinear integer programming with temporal limitations and is controlled by genetic algorithm (GA). MATLAB software is used for coding and the results indicate the authenticity of the proposed system’s robustness