Optimal switching has been proposed as a tool to improve the utility of the electricity grid among researchers in the electricity industry. In fact, according to Kirchhoff's rules, the restriction of the transmission of power from one path entails restrictions on the power passing through the corresponding parallel paths. Thus, in some operating conditions, opening a transmission line reduces the parallel paths and constraints imposed and, consequently, improves the network operating conditions. The effects of micro switching on market power in the power system are discussed first. To this end, the competition boundary problem has been developed to consider micro-switching. In this problem, the application of linear-integer models obtained on test networks shows that micro-switching can affect market power in a power system. This effect is further enhanced by the increase in HHI. Also, this effect is even greater at high load levels. This indicates the undesirable effect of micro-grid switching on market power if used without regard to market power. The following is a model for optimizing the micro-network periodic switching as a tool for system deployment to reduce the periodic cost of network deployment considering the market power of the actors. The results show that the optimal periodic switching of the microprocessor can reduce the operating costs of the whole period by considering the market power of the actors. Also, it reduces the market power of the actors compared to the case of micro-grid switching. Manuscript profile

The amount of the active power production by the photovoltaic systems depends on the radiation intensity and temperature. In this concept, the optimal use of photovoltaic systems is considered for controlling the voltage and correcting the power factor over day and night. Using this concept, it is possible to use photovoltaic systems in a more optimal way during the day and night. In this method, the photovoltaic systems capacity is not only used during the night to generate reactive power. Although studies have investigated the optimal locating of the distributed generation, DG is referred to as only the source of active power generation. In this paper, a new method for optimal placement of the photovoltaic systems, by considering their inverter nominal capacity to generate reactive power in addition to the active power in order to improve the voltage profile and reduce the system losses of the micro-grid, was employed. Two 33-bus and 6-bus networks were selected for investigating, and after implementing the method as well as applying the genetic algorithm optimization, it was determined that the optimal location of the photovoltaic systems by taking into account the active and reactive power production. Manuscript profile

Distribution of distributed generation resources in distribution systems has several advantages, including reducing losses, improving voltage profiles, reducing pollution, and increasing system reliability. However, one of the most important points regarding the placement of these resources in distribution networks is economic issues and the return on investment and the increase in profits from the placement of these resources. On the other hand, due to the privatization of power systems, other distribution networks will not necessarily own the distributed generation resources. Therefore, despite choosing the location of scattered production resources by the owners of scattered production resources and pricing their production power, the selection of purchasing power from each of the scattered production units or the national electricity system is done by the distribution network operator. It will be for supply. Thus, owners of scattered production resources must choose the location and price of the production capacity of their resources in such a way that their profit is maximized and at the same time the amount of payment paid by the network operator is minimized. Therefore, in this paper, the issue of location and optimal pricing of distributed products is considered to increase the profit of the owner of scattered production resources provided that the distribution company pays the minimum payment cost and the method used to solve this problem is the ant-optimization algorithm. It is inspired by the ant's milk hunting mechanism and is a powerful optimization algorithm. Manuscript profile

The dynamic stability problem is one of the challenges that is constantly being discussed in power systems. Meanwhile, one of the most important factors which will have a direct impact on its determination is the system state estimation. To monitor the stability of the power system, one of the determinative factors is the accuracy and speed of the state estimation equations’ input data. Therefore, in this paper, the Factorized Load Flow Method was used as a method for estimating input data of the system stability analysis. In this study, factorized load flow method was presented in full details in terms of theoretical relations and simulation results, and in order to prove its performance efficiency a comparison was made between its results with the results of the Newton-Raphson method. The conducted comparisons and investigations showed that the proposed method can determine the needed inputs for state estimation with high speed and precision. The proposed method was simulated using coding environment of MATLAB software and it was shown that this idea enjoyed an appropriate quality for reducing the computational complexity and increasing the accuracy and speed of state estimation. Manuscript profile

In this study, a new method for designing the damping controller was proposed to improve the transient power system stability in a single machine network connected to an infinite bus. The STATCOM controller problem in a wide area of the system function was considered as an optimization problem with multi-purpose objective function. Also, the Honey Bee Mating Optimization Algorithm was used to determine its parameters. In this paper, a new method for designing a damping controller was presented to improve the transient power system stability in a single machine network connected to an infinite bus. The STATCOM controller design problem in a wide area of system function was considered as an optimization problem with a multi-purpose objective function and the honey bee mating optimization algorithm was used to determine its parameters. As shown, STATCOM improved system stability. For a more comprehensive analysis, the results were tested in three different scenarios. Simulation of the STATCOM controller design for small signal stability was conducted in the MATLAB / SIMULINK environment. The tuning variables in designing the controller were variables c and φ that were used to adjust the modulation index and firing angle of switches. In order to achieve the best possible state, the artificial honey bee colony algorithm was used. Manuscript profile

In power grids, there must always be a balance between energy production and consumption. Due to the variable nature of consumers, energy production should also be subject to these changes. Electricity storage is one of the most important issues in the electricity industry, which can generate many ancillary services such as load curve leveling, peak shaving, integration with renewable units, rotating reservations, etc. This paper presents a new and practical method for locating, sizing, and optimally planning vanadium current storage batteries in the above distribution substations. In this innovative method, using load forecasting, the amount of peak consumption per day is calculated, and based on it, several indicators are defined to prioritize the storage installation location. Then, according to the power consumption information in the selected substation, the optimal storage capacity for leveling the load curve is determined, and finally, optimal planning for charging and discharging the storage is presented. In this paper, for simulation of real consumption data of the above distribution network of Semnan city has been used. Manuscript profile