مجله مهندسی برق و الکترونیک ایران
سال هفدهم شماره 4 (زمستان 1399)

In this paper, the short-term scheduling for demand response program (DRP) with retail electricity providers (REPs) with light physical assets is proposed. The main contribution is to determine an optimal multi-objective model for these REPs to integrate them into design-model of the incentive-based DRP for retail markets, considering load uncertainties on the locational marginal prices (LMP). Fuzzy logic modeling is used for simulating load uncertainty. Non-dominated sorting genetic algorithm (NSGA-II) is used, due to non-linearity and thus the complexity of the proposed model. A non-linear sorting system based on fuzzy logic is also utilized to find the best compromise among the set of solutions generated by the Pareto-front space. IEEE 24 bus reliability test system is utilized to explain the optimal performance of the proposed approach.

The aim of this paper is to provide the best locations and sizes of DGs to aim voltage and power loss improvement with consider costs. The objective function in this paper is a multi-objective function with weights. The main functions are minimization of the power loss, improvement of voltage profile and minimization of DG cost are transformed into a single objective function with utilization the weight of functions. A BAT algorithm is proposed for simultaneous optimization these functions. Hence, in the first stage in this paper introduces the multi-objective function. Next stage is introduced the optimization algorithm used and in the last stage simulation results are presented. The proposed method has been tested on a 13-bus system. The results indicate that any change in the function’s weight in the objective function leads to a significant change in the forecasting of the location and size of DG.

D-STATCOM is an important component to compensate for the required reactive power in the distribution lines. Generally, a cascaded PI control structure is used to control a D-STATCOM. However, the performance of this conventional PI-based loop control deteriorates under the output filter and severe load variations. To mitigate the negative effects of such variations on the D-STATCOM performance, this paper proposes a novel approach not need the accurate model of the system. This new method exploits an adaptive controller in the current loop and a conventional PI controller in the voltage loop. The simulation and hardware experimental results indicate this new controller provides low total harmonic distortion (THD), robustness against parameter and load variations, and fast transient response.

This paper investigates relation and influence between electromagnetic fields generated by high voltage transmission lines and human health. A novel pylon with optimal phase arrangement through possible configuration is presented by optimizing a multi-objective cost function consists of the electric field, magnetic field, and the segments cost. For comparison between current pylons and the proposed pylon, the human model is placed below high voltage overhead lines and then electromagnetic fields and current density is simulated. Electromagnetic fields from overhead lines are calculated by using PLS-CADD and PLS-TOWER software based on Maxwell’s method. The human body is modeled by the Finite Element Method (FEM) in MATLAB. Results show that the new pylon decreases electromagnetic fields distribution on the human body andthis pylon also mitigates the right-of-way width by its special position of phase conductors.

In this paper, the problem of locating a target in a distributed multiple-input multiple-output radar system using bistatic range measurements is addressed. An algebraic closed-form two-stage weighted least squares solution for the considered problem is developed and analyzed. In the first stage, we establish a set of linear equations by eliminating the nuisance parameters first and then we apply a weighted least squares estimator to determine the target position estimate. In the second stage, in order to improve the localization performance and refine the solution of the first stage, an estimate of the target position estimation error is obtained. The final solution is obtained by subtracting the solution of the second stage from the solution of the first stage. The Cramer-Rao lower bound (CRLB) for target localization accuracy is developed in the case of Gaussian distribution. The proposed method is shown to be an approximately unbiased estimator, which is able to attain the CRLB accuracy under small noise conditions. Numerical simulations are included to examine the algorithmchr('39')s performance and corroborate the theoretical developments.

This paper presents existent model for solar silicon cell and introduces different parts of Hercules electrical system which proposed cell is used for generating a ratio of electrical energy for Hercules. Then, novel electrical energy distribution system based on solar cell will be presented. This model will contributed in generating aircraft start-up power and act as backup electrical system boosting flight reliability. Moreover, considering different values for cell parameters, effect of selecting appropriate model and parameter on solar array performance will be evaluated. Next, the result of temperature on proposed model will be assessed considering maximum output power and total generated power by solar arrays.