solution of multi-objective optimal reactive power dispatch using pareto optimality particle swarm optimization method

Authors

syed abbas taher

mojtaba pakdel

abstract

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 shunt reactive compensation devices to be switched)are determined. morpd is solved using particle swarm optimization (pso). also, pareto optimality pso (popso) is proposed to improve the performance of the multi-objective optimization task defined with competing and non-commensurable objectives. the decision maker requires managing a representative pareto-optimal set which is being provided by imposition of a hierarchical clustering algorithm. the proposed approach was tested using ieee 30-bus and ieee 118-bus test systems. when simulation results are compared with several commonly used algorithms, they indicate better performance and good potential for their efficient applications in solving morpd problems.

Upgrade to premium to download articles

Sign up to access the full text

Already have an account?login

similar resources

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...

full text

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 as a simultaneous minimization of the active power transmission loss, the bus voltage deviation and the voltage stability index of a power system are obtained. Optimal settings of continuous and discrete control variables (e.g., generator voltages, tap positions of tap changing transformers and the number of...

full text

Hybrid Particle Swarm Optimization Based Optimal Reactive Power Dispatch

In this paper, a two-phase hybrid particle swarm optimization (PSO) approach is used to solve optimal reactive power dispatch (ORPD) problem. In this hybrid approach, PSO is used to explore the optimal region and direct search is used as local optimization technique for finer convergence. The performance of the proposed hybrid approach is demonstrated with the IEEE 30-bus and IEEE 57-bus system...

full text

A multi-objective optimal power flow using particle swarm optimization

This paper presents a multi-objective optimal power flow technique using particle swarm optimization. Two conflicting objectives, generation cost, and environmental pollution are minimized simultaneously. A multiobjective particle swarm optimization method is used to solve this highly nonlinear and non-convex optimization problem. A diversity preserving technique is incorporated to generate eve...

full text

solution of security constrained unit commitment problem by a new multi-objective optimization method

چکیده-پخش بار بهینه به عنوان یکی از ابزار زیر بنایی برای تحلیل سیستم های قدرت پیچیده ،برای مدت طولانی مورد بررسی قرار گرفته است.پخش بار بهینه توابع هدف یک سیستم قدرت از جمله تابع هزینه سوخت ،آلودگی ،تلفات را بهینه می کند،و هم زمان قیود سیستم قدرت را نیز برآورده می کند.در کلی ترین حالتopf یک مساله بهینه سازی غیر خطی ،غیر محدب،مقیاس بزرگ،و ایستا می باشد که می تواند شامل متغیرهای کنترلی پیوسته و گ...

Optimal Dispatch through Deterministic Dual Objective Particle Swarm Optimization

The operation of generating units to generate energy at reduced cost to reliably serve consumers, recognizing any operational restrictions of generation and transmission facilities is called as Economic Dispatch(ED).In the present paper, an evolutionary modified Deterministic Particle Swarm Optimization (DPSO) is applied for Environmental and Economic Power Dispatch (EED) problem to find fast a...

full text

My Resources

Save resource for easier access later


Journal title:
journal of ai and data mining

Publisher: shahrood university of technology

ISSN 2322-5211

volume 2

issue 1 2014

Hosted on Doprax cloud platform doprax.com

copyright © 2015-2023