نشریه تحقیقات نوین در سیستم های قدرت هوشمند
سال ششم شماره 2 (پیاپی 14، پاییز و زمستان 1396)

The main concerns of network operators is the improvement of system parameters, and various ways have been developed to achieve this goal. If the use of renewable energy including wind in the grid is used, the sustainability debate and the status of the power system parameters will be twofold. In the upcoming research, we will examine the status of the parameters by placing the Facts on the 24-Bass power system, including the wind farm. The research data, which includes wind data and load consumption over a year, is categorized using the K-means classification algorithm and we construct the target function based on the parameters we intend to optimize. The function is optimized using the HBMO Molecular Evolutionary Algorithm (HBMO), and it obtains the location and the appropriate amount of Facts, which results indicate that the parameters are optimized when using Facts.

Environmental pollution is a modern phenomenon arising from human activities.  Industries have caused the most pollution in living spaces around them. Releasing industrial effluent without environmental purification process faces countries to the issues such as disposal and destruction problems, while the imposition of high social, health and environmental costs on society are the most important problems. In the cases where there are industries around the cities, due to lack of proper purification system, large volumes of wastewater enter the environment daily. Among these materials, we can mention Vinasse, which is an effluent of the alcohol production plant and is an organic material.  This organic material is decomposed in the environment and causes an unpleasant odor in the Ahvaz, Khorramshahr and Abadan metropolises air. It is possible to produce Biogas through Vinasse anaerobic digestion. In this paper, we studied the construction of the biogas distributed generation plant based on anaerobic digestion Vinasse. Calculations show that using the biogas produced from the approximately 396,000 cubic meters of available Vinasse it is possible to build a 2-MW power plant and produce 11.5 GW of electricity per year. In addition, simulation of the global power network in the intended area using Digsilent software, shows that connecting the biogas power plant to the grid, reduces power losses and transformer loading, and improves the voltage profile and voltage stability limit.

Today, the preservation of atmospheric health is one of the most important prerequisites of sustainable global economic development, given the growing increase in the prices of fossil fuel carriers and their mortality in the near future, the necessity of using renewable energies such as wind, sun, hydrogen, geothermal, and … day will be more noticeable. In this paper, we investigated the load - prediction and review of the conditions of using renewable resources in a region located in Razavi Khorasan, a village of Arezomande, which was built in 2001 from 11 km of electrical power lines. The region is surveyed from different economic and environmental aspects in both the network and connected to the network, it also identifies the optimum system optimized using Homer's middleware and compares it to the traditional network development. the result shows that the hybrid combination of renewable energy generators is a cost - effective alternative to network development and is eco - friendly and eco - friendly and the best system is economically in general mode of generator diesel generator.

Power quality is a topic that most electricity companies and even subscribers pay close attention to. A key factor in the review is the expansion of the use of new electrical equipment in the networks. The development of power electronics equipment such as microprocessors, computers, electronic devices, power supply systems, lighting systems and induction furnaces, etc., which are sensitive on the one hand and must possess the highest quality electrical power and on the other hand lack Delivering optimum power to these devices causes effects such as transient or oscillatory phenomena, decreasing or increasing voltage, waveform deviation, frequency shift, voltage imbalance and harmonics. The old reliability index is often used to express power quality in the power grid. In calculating the reliability of power utilities, they mainly base the rate of shared power outages and calculate the average rate of access to electricity. This index is defined as the ratio of the hours of electricity to subscribers and industries to the total hours of a year, and most electricity distribution companies operate with a confidence factor of more than 99.99%. But reliability is not enough to evaluate and express the quality of today's power networks.

: This paper presents a learning backtracking search algorithm (LBSA) that combines the ideas of TLBO and BSA to solve optimal power flow problem that has both discrete and continuous optimization variables. The proposed method is an evolutionary technique of optimization with simple structure and single control parameter to solve numerical optimization problem. The objective functions are considered as the system real power losses, fuel cost and the gaseous emissions of the generating units and voltage profile. The proposed algorithm is applied on modified IEEE 30 bus test power system in Matlab software and the results obtained are compared with results of other algorithm.

The distribution system establishes the relationship between the transmission system and the consumer and it is the closest part of the power system to the consumer. Due to increasing demand for electricity, environmental constraints and competition in the energy supply market, transmission and distribution systems often operate under heavy load conditions. Severe voltage drops, multiple blackouts and high losses are major problems in distribution networks. Reconfiguration is the simplest and least costly way to meet the above goals relatively. In this study, the Reconfiguration of distribution networks is presented as an optimization problem. An objective function including active power loss indices and voltage profiles is introduced. Various scenarios have been introduced to examine this approach. To solve this problem, the Imperialist Competition Optimization (ICA) algorithm is used in Matlab software environment. Simulation results on IEEE standard radial distribution systems 33, 69 and 118 show that optimizing the opening and closing position of the switches will greatly improve the performance of the distribution system.