In this paper, a methodology to execute the best unit sizing for Distributed Energy Resources (DER) in MicroGird (MG), has been improved. Based on Artificial Bee Colony (ABC) a renovated optimal unit sizing technique was improved to estimate the optimum system formation that can obtain the customers needed Loss of Power Supply Probability (LPSP) with a minimum Cost of Energy (COE). The suggested method consequences are confirmed for single source DG and hybrid DG with results obtained from HOMER and Genetic Algorithm (GA) for the similar test systems. Copyright (C) 2012 Praise Worthy Prize S.r.l. - All rights reserved.

This paper presents Artificial Bee Colony (ABC) for solving Security Constrained Optimal Power Flow (SCOPF). The aim is to minimize the operating total cost taking into account operating and security constraints, system capacity requirements and improve the bus voltage profile under normal or contingent states. In this paper we have used 26-bus and the IEEE 30-bus system as test systems. In addition, the results are compared with the Particle Swarm Optimization Algorithm with Reconstruction Operators (PSO-RO) and Mixed-Integer Bacterial Foraging Algorithm (MIBFA) in MATLAB. Copyright (C) 2012 Praise Worthy Prize S.r.l - All rights reserved.

In this research, a methodology to execute the best unit sizing for Distributed Energy Resources (DER) in MicroGird (MG), has been improved. On the basis of Linear Programming (LP), a renovated optimal unit sizing technique was improved to estimate the optimum system formation that can obtain the customers needed Loss of Power Supply Probability (LPSP) with a minimum Cost of Energy (COE). The suggested method consequences are confirmed for single source DG and hybrid DG with results obtained from HOMER and Genetic Algorithm (GA) for the similar test systems. Copyright (C) 2012 Praise Worthy Prize S.r.l. - All rights reserved.

This paper proposes a Mixed Integer Non Linear Programming (MINLP) for solving Security Constrained Optimal Power Flow (SCOPF) that has been simulated in Generalized Algebraic Modeling System (GAMS). The objective function of SCOPF is minimize total generation cost considering transmission security, reduces transmission loss and improves the bus voltage profile under two cases that are normal and contingent states. In this paper we have used 26-bus and the IEEE 30-bus test systems, and have compared results with the Particle Swarm Optimization Algorithm with Reconstruction Operators (PSO-RO) and Mixed-Integer Bacterial Foraging Algorithm (MIBFA) in terms of solution quality and evolutionary computing efficiency. Copyright (C) 2011 Praise Worthy Prize S.r.l. - All rights reserved.

In this paper, a methodology to perform the optimal unit sizing for Distributed Energy Resources (DER) in MicroGird (MG), has been developed. Based on a Mixed-Integer Bacterial Foraging Algorithm (MIBFA), a new optimal unit sizing method was developed to calculate the optimum system configuration that can achieve the customers required Loss of Power Supply Probability (LPSP) with a minimum Cost of Energy (COE). The proposed method results are validated for single source DG and hybrid DG with results obtained from HOMER and Genetic Algorithm (GA) for the same test systems. Copyright (C) 2011 Praise Worthy Prize S.r.l. - All rights reserved.

In this paper, a methodology to perform the optimal unit sizing for Distributed Energy Resources (DER) in MicroGird (MG), has been developed. Based on a Mixed-Integer Non Linear Programming (MINLP), a new optimal unit sizing method was developed to calculate the optimum system configuration that can achieve the customers required Loss of Power Supply Probability (LPSP) with a minimum Cost of Energy (COE). The proposed method results are validated for single source DG and hybrid DG with results obtained from HOMER and Genetic Algorithm (GA) for the same test systems. Copyright (C) 2011 Praise Worthy Prize S.r.l. - All rights reserved.

This paper presents a formulation of security constrained unit commitment (SCUC) with emphasizing on wind farm. In past years, a fast growth in development of wind generation has been experienced in power system. The problem is finding a solution which satisfies the constraints and maximizes the objective function. The proposed model is solved using a standard Mixed Integer Nonlinear Programming (MINLP) solver. Case studies with the eight-bus system are presented in detail in this paper.

This paper aims to optimize the PMU (Phasor Measurement Unit) placement for a full observation of the power network and the minimum number of PMUs. In this paper competition of Mixed Integer Non-Linear Programming and heuristically algorithms such as Bacterial Foraging Algorithm was presented. The results are demonstrated with PMU placement optimization simulation and a redundancy measurement analysis by using IEEE14-bus and Tehran Regional electric company 41-bus networks..

In this paper, a methodology to perform the optimal unit sizing for Distributed Energy Resources (DRE) in MicroGid (MG), is developed. Based on a genetic algorithm, one optimal sizing method was developed to calculate the optimum system configuration that can achieve the customers required loss of power supply probability (LPSP) with a minimum COE. The proposed method results are validated for single source DG and hybrid DG with results obtained from HOMER for the same systems.

This paper presents a formulation of security constrained unit commitment (SCUC) with emphasizing on Mixed Integer Nonlinear Programming (MINLP) and Benders Decomposition. The problem is finding a solution which satisfies the constraints and maximizes the objective function. The proposed method is solved using MINLP using solver in GAMS software. As a case study, results on IEEE 30-bus system are presented in this paper.