Ebrahim Zarei, Mohsen Mohammadian, Ali Akbar Gharaveisi,
Volume 13, Issue 3 (IAEEE_No.13_Vol.13 2016)
Abstract
In this paper, demand response modeled with unit commitment in a nonlinear optimization problem, for increasing system security and economic reasons. By incorporating the demand response in the market it should decrease cost reduction, market clearing problems, congested lines and make a flat load profile at peak hours. In this problem, loads are combined of fixed and responsive loads. When this loads participate in program, they could curtail or shift to another operating hours. By considering system security, Studies show system speed and higher accuracy in problem convergence. Also, demand response decrease network load peak, system operating cost, fuel consumption and line congestion. Numerical simulation shows the effectiveness of proposed method on 6- bus system
Ebrahim Zareii, Mohsen Mohammadian, Ali Akbar Gharaveisi,
Volume 14, Issue 4 (JIAEEE Vol.14 No.4 2018)
Abstract
This paper introduces a new approach for scheduling security constraint unit commitment (SCUC) including wind farms. Because of uncertainty in wind power production, we tried to develop a new method for incorporating wind power generation in power plant scheduling. For this, wind power generation modeled with unit commitment in a non-linear optimization problem and simulated by submitting different scenarios for wind farms. First, unit commitment solved in master problem. Then, scenarios for presenting volatile nature of wind power simulated. Numerical simulations show the effectiveness of supposed unit commitment for managing security of power system by considering volatility of wind power generation.
Mrs. Faezeh Rajabzadeh, Dr. Ali Kuhestani, Dr. Seyed Fariborz Zarei,
Volume 20, Issue 4 (JIAEEE Vol.20 No.4 2023)
Abstract
In this paper, the capacity of power line communication (PLC) system in the applications of distribution networks is investigated. Unlike the conventional application of PLC in high-voltage networks, using relays in distribution networks is necessary considering their longer channel lengths and meshed structure. Then, determination of the average maximum capacity of communication system, so-called Ergodic capacity, is necessary demand for selection of appropriate PLC system in distribution network. The capacity of a communication system depends on various factors such as the channel characteristics, the system bandwidth and the noises in the network. In comparison with the studies in the field of PLC system, the PLC system with amplify- and- forward relaying considering the impulsive noises has not been analyzed. In this paper, using the practical models of channel and noise, the ergodic capacity of channel is calculated a function of input signal' signal to noise ratio. In this proposed scheme, the affecting parameters including statistical channel distribution, distance between source and relay nodes, distance between relay and destination nodes, the transmitted signal power and signal to impulsive noise ratio are considered. To do so, the signal to noise ratio in destination node is formulated with mathematical expressions, and then, the ergodic capacity is obtained using the Shannon theorem. Furthermore, the impact of assigned power to the source and relay on the capacity is investigated. Finally, by simulating a sample channel, the ergodic capacity is obtained for the different values of transmitted signal power, impulsive signal to noise ratio and channel length. The simulation results show that the average capacity changes linearly in terms of path losses; such that for SNR=20 dB and in the presence of the relay, by reducing the length of the line from 200 m to 10 m, the capacity increases by approximately 3.5 bits/s/Hz.
