Application of Particle Swarm Optimization to Optimal Power Systems
نویسندگان
چکیده
This paper presents the particle swarm optimization (PSO) algorithm for solving the optimal distribution system reconfiguration problem for power loss minimization. The proposed methodology determines control variable settings, such as the number of shunts to be switched, for real power loss minimization in the transmission system. The problem is formulated as a nonlinear optimization problem. The PSO is a relatively new and powerful intelligent evolution algorithm for solving optimization problems. It is a population-based approach. The proposed approach employs the PSO algorithm for the optimal setting of optimal power flow (OPF) based on loss minimization (LM) function. The proposed approach has been examined and tested on standard IEEE 14, IEEE 30 and IEEE 118 bus test systems. The obtained results are compared with those using other techniques in a previous work to evaluate the performance.
منابع مشابه
Solution of Multi-Objective optimal reactive power dispatch using pareto optimality particle swarm optimization method
For multi-objective optimal reactive power dispatch (MORPD), a new approach is proposed where simultaneous minimization of the active power transmission loss, the bus voltage deviation and the voltage stability index of a power system are achieved. Optimal settings of continuous and discrete control variables (e.g. generator voltages, tap positions of tap changing transformers and the number of...
متن کاملOptimal Placement of Static VAR Compensator to decrease Loadability Margin by a Novel Modified Particle Swarm Optimization Algorithm
In this paper, the Static Var Compensator (SVC) has been used to improve dynamic behaviour of power system. To do this, a new objective function is formulated considering power loss reduction, voltage profile improvement and loadability margin decrease. Other contribution of this research is proposing a novel structure for Particle Swarm Optimization (PSO) algorithm through modifying the initia...
متن کاملOptimal Placement of Static VAR Compensator to decrease Loadability Margin by a Novel Modified Particle Swarm Optimization Algorithm
In this paper, the Static Var Compensator (SVC) has been used to improve dynamic behaviour of power system. To do this, a new objective function is formulated considering power loss reduction, voltage profile improvement and loadability margin decrease. Other contribution of this research is proposing a novel structure for Particle Swarm Optimization (PSO) algorithm through modifying the initia...
متن کاملOptimization of grid independent diesel-based hybrid system for power generation using improved particle swarm optimization algorithm
The power supply of remote sites and applications at minimal cost and with low emissions is an important issue when discussing future energy concepts. This paper presents modeling and optimization of a photovoltaic (PV)/wind/diesel system with batteries storage for electrification to an off-grid remote area located in Rafsanjan, Iran. For this location, different hybrid systems are studied and ...
متن کاملSimultaneous Placement of Capacitor and DG in Distribution Networks Using Particle Swarm Optimization Algorithm
Nowadays, using distributed generation (DG) resources, such as wind and solar, also improving the voltage profile in distribution companies has been considered. As optimal placement and sizing of shunt capacitors become more prevalent, utilities want to determine the impact of the various capacitors placement in distribution systems. Locating and determining the optimal capacity of shunt capaci...
متن کاملParticle Swarm Optimization with Smart Inertia Factor for Combined Heat and Power Economic Dispatch
In this paper particle swarm optimization with smart inertia factor (PSO-SIF) algorithm is proposed to solve combined heat and power economic dispatch (CHPED) problem. The CHPED problem is one of the most important problems in power systems and is a challenging non-convex and non-linear optimization problem. The aim of solving CHPED problem is to determine optimal heat and power of generating u...
متن کامل