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Showing 6 results for Tabrizian
Samedin Ansari Ardeh, Dr. Mohammad Tabrizian, Hamidreza Shahmirzad, Volume 11, Issue 3 (12-2022)
Abstract
This article, proposed a method to coordinated utilization of gas-electricity integrated distribution system, including CCHP systems and renewable energy sources, considering AC load flow analysis in an electric grid and the calculation of gas consumption in a gas grid. In this research as you will see, an effective method proposed to prevent transmitting of power generation swings of renewable sources over trans-regional power line and maximum utilization of renewable sources. The proposed model tested on a modified distribution power grid IEEE 33 and 24-node-gas grid. Results show that total expense of adjustment in Conventional design will rise dramatically by increasing of unit. While in the presented design, adjustment expense will remain stable and increase slightly.
Saeed Siahkolaei, Dr. Mohammad Tabrizian, Hamidreza Shahmirzad, Volume 11, Issue 4 (3-2023)
Abstract
Today, electric vehicles have been significantly considered due to the lack of air pollution. However, due to the large volume of vehicles in the city, connecting them to the distribution network without a control program may cause congestion in the network lines and substations. Therefore, a bi-level hierarchical method for connecting electric vehicles to the distribution network to coordinate services and performance constraints of the three main elements, namely fleet operator, distribution system operator, and capacity market operator in the presence of vehicle owners and taking into account driving requirements, charging and compaction costs of power lines and transformers are recommended. In this method, first car owners and fleet operators present their charging program to the distribution system operator according to the predicted market prices. In the next step, if this charging program leads to congestion in the lines or substations and power transformers, it is returned to the fleet operators and the shadow price is determined by the capacity market operator based on the congestion status. Then the new charging program is dispatch according to the new market prices. The proposed method is implemented in a sample distribution network and the simulation results show the efficiency of the proposed method.
Ali Kouchpideh, Dr. Mohammad Tabrizian, Hamidreza Shahmirzad, Volume 12, Issue 1 (5-2023)
Abstract
Electricity transmission lines in the unstable state have problems such as the increased voltage at the end of the line and loss of stability, and in pregnancy, problems such as voltage drop and loss of transmissible capacity, and in some cases of voltage instability, include transient power fluctuations and instability due to disturbances. These problems are exacerbated by the increase in the length of transmission lines. To solve these problems, the active and reactive voltages and capacities must be controlled momently to reduce line losses and increase power transmission capacity as well as improve reliability and maintain voltage stability the use of FACTS equipment is now expand worldwide and can be studied and proposed for the prospects of Iran's national grid. In this article, a more complete model based on weighted and ranked of different possible events simultaneously and optimally locating two examples of these devices including Thyristor Controlled Series Compensator (TCSC) and Static Reactive Power Compensator (SVC) to improve Available Transfer Capability (ATC) is proposed in 14-bus and 24-bus power networks by the IWO (Invasive Weed Optimization) method and then its results will be compared and evaluated with other optimization methods.
Vahab Darafshdar, Dr. Mohammad Tabrizian, Hamidreza Shahmirzad, Volume 12, Issue 2 (9-2023)
Abstract
Existing power grids are inefficient, due to the lack of energy management and the lack of storage, so power plants have to produce more to maintain power quality. But by using network savers, the need to build more power plants is reduced and network stability is improved and many of these inefficiencies will be remedied. By launching this market, consumers are encouraged to optimally manage their consumption, sell power to the grid during peak hours, increase network stability, and compensate grid shortages through the nearest storage network operator due to proximity to the storage. Consumers cause the least transmission line losses. In this paper, using the proposed multi-objective fuzzy multi-objective optimization problem for modeling of energy storage systems (ESS) planning in active distribution networks (ADS) considers the impact of ESS optimization strategy. Finally, the modified IEEE standard 33-bus distribution system will be used to evaluate the feasibility and performance of the proposed model by examining the two hybrid algorithms.
Mahmoud Akbari, Dr. Mohamad Tabrizian, Hamidreza Shahmirzad, Volume 12, Issue 3 (12-2023)
Abstract
One of the achievements of the restructuring of the electricity industry is the creation of a competitive environment in the electricity generation sector, in which a set of small-scale generation units with loads and a covered network, which managed by a specific institution and is called a virtual power plant, can Have an active presence in the wholesale market of energy and rotating storage. This study presents a new framework for planning the optimal bidding strategy for the participation of virtual power plants in the energy and reserve markets, in which wholesale electricity prices, retail market, required storage, and period are the main parameters. A genetic algorithm is used to solve the resulting optimization problem. Uncertainties governing wholesale prices and forecasting consumption needs in the area covered by the virtual power plant are considered. The logarithmic and normal probability distribution functions were used, respectively. The method of Monte Carlo simulation is used to considering uncertain parameters. The simulation results of this paper show that the proposed method is a powerful and appropriate tool to develop an optimal strategy for virtual power plant bidding in the electricity market, taking into account uncertainties and its proper interaction with consumers with consideration of demand response.
Eng Meysam Ahmadimonfared, Dr Mohamad Tabrizian, Dr Elahe Moradi, Eng Hamidreza Shahmirzad, Volume 12, Issue 4 (2-2024)
Abstract
The issue of energy supply on the one hand and the environmental problems caused by the consumption of fossil fuels, on the other hand, have prompted researchers to turn to methods of reducing energy consumption as well as the use of renewable energy sources and hybrid vehicles. The time of several distributed generation units is optimal, but due to the uncertainties in phenomena such as solar radiation, to more accurately predict how the microgrid and its devices will work in the future to make appropriate decisions, a mechanism for processing and managing relevant data is. The answer to all these questions requires familiarity with a new concept called the "energy hub". Due to the wide scope of control of energy hub systems, in this article, while examining the definitions and concepts related to these systems, we have tried to design the control system so that the system is resistant to uncertainty and perturbation. The proposed method uses nonlinear predictive controllers. It is durable. Case study and simulation results in MATLAB software show well that the output variables of the modelled energy hub system have been able to be stable at a suitable time after input.
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