Majlesi Journal of Energy Management
Volume:10 Issue: 1, Mar 2021

Solar energy, like other energies, can be directly or indirectly converted into other forms of energy, such as heat and electricity. However, obstacles including scientific and technical weakness in conversion due to lack of knowledge and field experience, variable and alternating amount of energy due to climate change and seasons and the direction of radiation and very wide distribution range have led to little use of this energy. The use of huge solar energy sources to generate electricity, dynamic use, heating of yards and buildings, drying of agricultural products and chemical changes have increased in recent years. In this paper, we simulate a 545 kV network-connected photovoltaic system using software on a case study in PV * SOL village.

Climatic data such as insolation level and temperature are indispensable as input variable while designing the photovoltaic based system. The output thus obtained can be current, voltage, power or other parameters of the solar device. In order to outline the attributes, only three variables current, voltage and power are required. If there is any disparity in the data entered, then output gets altered suitably. This research paper presents a comparative analysis of modeling approaches of photovoltaic module studied under different scenarios of varying insolation level and temperature values. Its effect on various parameters of the solar photovoltaic module is also looked into comprehensively. To achieve fidelity, various models based on one diode and two diode models under various instances has been contemplated. MATLAB/Simulink tool is applied to explore the results. Extensive results have been taken under various operating conditions. The performance of PV system has been evaluated using nine different PV system’s parameters. Based on these parameters, these models are compared in detail. The performance of two diode modal is found closer to actual performance as compared to one diode.

Single-phase loads cause imbalances in energy distribution systems. Thus, unlike balanced three-phase loads, in single-phase distribution systems, current flows through the neutral wire, and therefore the distribution network is generally an unbalanced network. The imbalance of this system has various consequences such as reduced efficiency, protection system performance, increased losses, heating of three-phase equipment, voltage drop due to unbalanced current, neutral wire current and reduced power quality. This imbalance increases the losses of the entire distribution system. This paper describes a method based on the use of FACTS devices and fuzzy control that reduces the adverse effects of imbalance and as a result reduces distribution system losses and increases system efficiency. In this method, the voltage imbalance index is within the allowable standard of distribution networks. The simulation results show that the expressed control method reduces the effects of imbalance and the control method determines the targets with appropriate speed and accuracy.

Power system transient stability is an integral part of power system planning and operation. Conventional approaches to assess transient stability are time consuming and hence, are not suitable for online application. Moreover, the current industry practices majorly ignore various uncertainties, associated with transient stability. Thus, this paper presents a comparative analysis of two different machine learning (ML) algorithms, i.e., artificial neural network (ANN) and support vector machine (SVM), for online transient stability prediction, considering various uncertainties (load, network topology, fault type, fault location, and fault clearing time). Time domain simulations were conducted, using DIgSILENT PowerFactory software, for obtaining the training data for the ML algorithms. MATLAB was used to apply the ML algorithms (ANN and SVM), and to draw a comparison between them. The results obtained for the IEEE 14-bus system demonstrated that both ANN and SVM can rapidly estimate the transient stability, considering uncertainties, with a reasonable accuracy; however, ANN outperformed SVM, as its classification performance and computational performance was determined to be superior.

Smart grids have essential roles in the process of transition to a low-carbon energy sector, ensuring the efficient and sustainable use of natural resources such as wind generator. High penetration rate of intermittent wind generation in smart competitive power system has necessitated the development of more sophisticated support scheme for wind generation resource. However, providing this support scheme cost in competitive electricity market is an important problem which is investigated in this paper. In order to overcome this problem, a modified model is derived to study the impact of energy efficiency approaches on support scheme cost of wind generation. In this study, energy efficiency programs are proposed in two perspectives; the supply side and the demand side. Implementing energy efficiency programs in supply side via integration of storage resources and wind power generation is carried out in order to increase the capacity factor of wind generation. On demand side, implementing the proposed energy efficiency programs is carried out as strategies to reduce the peak load levels.

The purpose of this study is to analyze the relationship between cultural values ​​in the pattern of water consumption of families in the city of "Shahinshahr" using the Schwartz model of cultural values. In this regard, in order to explain the importance of the position of cultural values ​​in explaining the reform of water consumption pattern, an attempt was made to compare the explained change in water consumption by cultural values ​​with demographic variables. In this regard, the results of the research, which is based on a descriptive model, show that, firstly, cultural values ​​had more explanatory power compared to demographic variables. Second, by dividing cultural values ​​into four dimensions: readiness for change, protection, self-enhancement, and excellence based on Shuartz theories, the results show that the value of excellence (including the values ​​of cosmopolitanism and benevolence) causes citizens to tend to participatory thinking in reducing consumption. Water is drunk, and people with lower values ​​of excellence tend to consume more.