Distributed Generation (DG) resources can effect a lot on the reliability parameters in industrial microgrids. So, reliability evaluation of industrial microgrids is presented in this paper using a proposed composite index in the presence of DG resources and demand resp More
Distributed Generation (DG) resources can effect a lot on the reliability parameters in industrial microgrids. So, reliability evaluation of industrial microgrids is presented in this paper using a proposed composite index in the presence of DG resources and demand response (DR). This procedure of the reliability assessment is based on sequential Monte Carlo method with respect to the time varying load model. In this paper, wind and photovoltaic generations those are useful renewable generations are used. Since, the output power of these DGs depends on wind speed and solar radiation that are stochastic variables, therefore a number of scenarios have been considered in order to determine the output power per hour for each of them. According to the large number of generated scenarios, scenario reduction method is used based on two conditions that consist of power generation of DGs and load. Here the new composite index represents changes in the SAIFI, SAIDI and EENS indices per each KW of installed DGs. With considering to industrial load growth in the microgrid, a ten-year period is studied and the scheduling is performed in both islanding and grid connected operational modes. The concept of DR is also used in the islanding operational mode. To demonstrate the effectiveness of the proposed method, the approach is applied on a standard IEEE RBTS BUS2 system in the presence of DG resources and the results in different conditions are achieved.
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Load shedding is the last line of defense for controlling and stabilizing of the power system in the occurrence of a disturbance. Determining the amount and location of the load shedding are issues that the power system operators always have faced In this paper, a new m More
Load shedding is the last line of defense for controlling and stabilizing of the power system in the occurrence of a disturbance. Determining the amount and location of the load shedding are issues that the power system operators always have faced In this paper, a new method is proposed for determining the location of under voltage load shedding (UVLS). The proposed method, unlike the previous UVLS methods, uses two different factors to determine the effective location of UVLS. Considering the load reactive power in the process of determination of the UVLS location leads to disconnecting more reactive power during the initial steps of UVLS. Therefore, less active power sheds by the UVLS. To verify the accuracy of the proposed method, the proposed UVLS method accompanied with the method which uses the sensitivity of voltage with respect to the active power are implemented in IEEE 118-bus test system and New England 39 bus system. The obtained results show the superiority of the proposed method.
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This paper presents a new intelligent algorithm, named binary real genetic algorithm (BRGA) to design parameters of PSS and STATCOM controller simultaneously. The proposed algorithm has a strong search capability and high speed convergence to find the global optimum poi More
This paper presents a new intelligent algorithm, named binary real genetic algorithm (BRGA) to design parameters of PSS and STATCOM controller simultaneously. The proposed algorithm has a strong search capability and high speed convergence to find the global optimum points. The objective function used in this paper to be minimized is the time integral absolute error (ITAE). The objective will be minimizing the deviations of rotor speed () and the voltage of the bus in which STATCOM has been installed. The simulations are carried out on a two-area four-machine power system to show the superior performance of the proposed method, when compared with GA and PSO algorithms.
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The purpose of distribution networks restoration is to re-energize the out-of-service loads after fault occurrence which is accomplished by changing the status of network switches and considering the network constraints. In this paper a multi-stage restoration method b More
The purpose of distribution networks restoration is to re-energize the out-of-service loads after fault occurrence which is accomplished by changing the status of network switches and considering the network constraints. In this paper a multi-stage restoration method by the help of the modified decision-making tree algorithm is proposed to maximize the restored loads and also to minimize switching operations. The main stages of this method include initial restoration, reconfiguration and optimal load shedding. To reduce the search space, the network switches are categorized into different sets which avoid having any inappropriate result space. The proposed method is tested on two IEEE 69-bus and 119-bus distribution networks. The simulation results confirm the accuracy and efficiency of the proposed method in distribution network restoration.
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