Majlesi Journal of Energy Management
Volume:12 Issue: 2, Jun 2023

With the development of cities and the regulation of boundaries in the electricity industry, the network development designers forced the use of high voltage cables underground instead of overhead lines. This work is vulnerable to short circuits and other factors like other electrical equipment. Connections cause damage to the joints or cable insulation, which disrupts the flow of energy transmission. To detect the fault location of a cable without digging, it is first necessary to identify the possible faults that may occur for a cable, and then to Choosing the method to fix the payment error In this article, while examining the types of errors in the cable, the simulation of three types of error tests in the cable is discussed using the proteus software.

This paper presents an economic framework for the virtual power plant (VPP) to participate in joint energy and regulation markets. Differnet electricity consumers and wind turbine are aggregated in the proposed VPP model. VPP persuades its consumers to provide regulation reserve by signing incentive agreement. A scenario tree is applied to model uncertain parameters including energy and regulation prices, wind turbine (WT) production, regulation reserve calling probabilities and consumer behaviors. Two different case studies are presented to demonstrate robustness of scheduling framework

In This paper presents a method for state estimation in doubly fed induction generators (DFIGs) using an Extended Kalman Filter and Unscented Kalman Filter. In this work, the conventional nonlinear state space model of a DFIG is augmented with different modes of estimates by using two methods (EKF and UKF) in order to estimate generator parameters such as rotor angle deviation, rotor speed, rotor position and etc. The effectiveness of this method is tested using MATLAB/Simulink.

Phase Unbalance in distribution networks is one of the unavoidable problems that results from presence of single-phase charges and diversity of consumption among customers. This paper aims to study unusable capacity in distribution transformers due to phase Unbalance through proposing a new coefficient for estimating their capacity. In this study, the primary reasons which lead to Unbalance in transformers have been studied, then unusable capacity in transformers and phase Unbalance index have been formulated , and finally, real results on two posts related to Ardabil electricity distribution network have been evaluated, information corresponded to sample posts has been acquired through installing data logger machine, type TDL 104 for a week and using hour-to-hour sampling method. The results form machine have been analyzed using Matlab software, and then related diagrams have been drawn and also comparison among them has been done. Finally, the effect of phase Unbalance in estimating transformers’ capacity has been proposed by a coefficient.

One of the most significant challenges of energy distribution network companies is producing electricity, heat and cooling demands. One specific solution to overcome the problem is operating different energy networks such as gas and electricity simultaneously. An especial approach to utilization of the networks is “Energy Hubs”. Energy hub entails electricity, gas, heat, and sometimes cooling networks. Energy hub enters gas and electricity as its inputs. Renewable energy resources also can connect to the network. Energy hub function is supplying electricity and heat demands in order that operation costs minimize. CHP is employed as heart of energy hub in which simplifies integration of different energy networks. In this paper, CCHP is employed to operate gas, electricity, heat and cooling energy carriers. Furthermore, solar, energy storages and absorption chiller are integrated to energy hub. The proposed hub is scheduled by the aforementioned technologies in different hot and cold climates in order to minimize the costs. Furthermore, the results demonstrate whether the proposed hub performs better in hot or cold climate.One of the most significant challenges of energy distribution network companies is producing electricity, heat and cooling demands. One specific solution to overcome the problem is operating different energy networks such as gas and electricity simultaneously. An especial approach to utilization of the networks is “Energy Hubs”. Energy hub entails electricity, gas, heat, and sometimes cooling networks. Energy hub enters gas and electricity as its inputs. Renewable energy resources also can connect to the network. Energy hub function is supplying electricity and heat demands in order that operation costs minimize. CHP is employed as heart of energy hub in which simplifies integration of different energy networks. In this paper, CCHP is employed to operate gas, electricity, heat and cooling energy carriers. Furthermore, solar, energy storages and absorption chiller are integrated to energy hub. The proposed hub is scheduled by the aforementioned technologies in different hot and cold climates in order to minimize the costs. Furthermore, the results demonstrate whether the proposed hub performs better in hot or cold climate.One of the most significant challenges of energy distribution network companies is producing electricity, heat and cooling demands. One specific solution to overcome the problem is operating different energy networks such as gas and electricity simultaneously. An especial approach to utilization of the networks is “Energy Hubs”. Energy hub entails electricity, gas, heat, and sometimes cooling networks. Energy hub enters gas and electricity as its inputs. Renewable energy resources also can connect to the network. Energy hub function is supplying electricity and heat demands in order that operation costs minimize. CHP is employed as heart of energy hub in which simplifies integration of different energy networks. In this paper, CCHP is employed to operate gas, electricity, heat and cooling energy carriers. Furthermore, solar, energy storages and absorption chiller are integrated to energy hub. The proposed hub is scheduled by the aforementioned technologies in different hot and cold climates in order to minimize the costs. Furthermore, the results demonstrate whether the proposed hub performs better in hot or cold climate.One of the most significant challenges of energy distribution network companies is producing electricity, heat and cooling demands. One specific solution to overcome the problem is operating different energy networks such as gas and electricity simultaneously. An especial approach to utilization of the networks is “Energy Hubs”. Energy hub entails electricity, gas, heat, and sometimes cooling networks. Energy hub enters gas and electricity as its inputs. Renewable energy resources also can connect to the network. Energy hub function is supplying electricity and heat demands in order that operation costs minimize. CHP is employed as heart of energy hub in which simplifies integration of different energy networks. In this paper, CCHP is employed to operate gas, electricity, heat and cooling energy carriers. Furthermore, solar, energy storages and absorption chiller are integrated to energy hub. The proposed hub is scheduled by the aforementioned technologies in different hot and cold climates in order to minimize the costs. Furthermore, the results demonstrate whether the proposed hub performs better in hot or cold climate.

Considering that nowadays has occurred to a widely application of distributed generation in distribution systems, it is necessary to investigation of problems and issues that may arise the distribution system. In this paper the main issue is to investigate the effect of random load behavior of distribution system on enhancement of system loadability in presence of DG units. The results show that random load behavior how and how much will affect on improved system loadability. To do these investigations, at first the optimized place for installing DG has been specified in certain load condition using Genetic Algorithm, and its effect on loadability is investigated. Then network loads has taken randomly and the results are obtained and investigated for this case too. Moreover, in certain load condition, effect of number of DG and type of generation capability of real and reactive power (due to the fact that some types of DG can only generate and inject real power) has been studied and best one is specified.