Title :
Congestion Management Using Multiobjective Particle Swarm Optimization
Author :
Hazra, Jagabondhu ; Sinha, Avinash K.
Author_Institution :
IIT Kharagpur, Kharagpur
Abstract :
This paper presents an effective method of congestion management in power systems. Congestions or overloads in transmission network are alleviated by generation rescheduling and/or load shedding of participating generators and loads. The two conflicting objectives 1) alleviation of overload and 2) minimization of cost of operation are optimized to provide pareto-optimal solutions. A multiobjective particle swarm optimization (MOPSO) method is used to solve this complex nonlinear optimization problem. A realistic frequency and voltage dependent load flow method which considers the voltage and frequency dependence of loads and generator regulation characteristics is used to solve this problem. The proposed algorithm is tested on IEEE 30-bus system, IEEE 118-bus system, and Northern Region Electricity Board, India (NREB) 390-bus system with smooth as well as nonsmooth cost functions due to valve point loading effect.
Keywords :
Pareto optimisation; load flow; load shedding; particle swarm optimisation; power generation scheduling; power system management; IEEE 30-bus system; MOPS method; Northern Region Electricity Board; Pareto-optimal solution; congestion management; cost function; generation rescheduling; load shedding; multiobjective particle swarm optimization; power system; voltage dependent load flow method; Character generation; Cost function; Energy management; Frequency dependence; Load flow; Optimization methods; Particle swarm optimization; Power system management; System testing; Voltage; Congestion management; generator rescheduling; multiobjective optimization; pareto optimality; particle swarm optimization;
Journal_Title :
Power Systems, IEEE Transactions on
DOI :
10.1109/TPWRS.2007.907532
