Title :
Parallel simulated annealing applied to long term transmission network expansion planning
Author :
Gallego, R.A. ; Alves, A.B. ; Monticelli, A. ; Romero, R.
Author_Institution :
UNICAMP, Campinas, Brazil
fDate :
2/1/1997 12:00:00 AM
Abstract :
The simulated annealing optimization technique has been successfully applied to a number of electrical engineering problems, including transmission system expansion planning. The method is general in the sense that it does not assume any particular property of the problem being solved, such as linearity or convexity. Moreover, it has the ability to provide solutions arbitrarily close to an optimum (i.e. it is asymptotically convergent) as the cooling process slows down. The drawback of the approach is the computational burden: finding optimal solutions may be extremely expensive in some cases. This paper presents a parallel simulated annealing (PSA) algorithm for solving the long-term transmission network expansion planning problem. A strategy that does not affect the basic convergence properties of the sequential simulated annealing algorithm have been implemented and tested. The paper investigates the conditions under which the parallel algorithm is most efficient. The parallel implementations have been tested on three example networks: a small 6-bus network; and two complex real-life networks. Excellent results are reported in the test section of the paper: in addition to reductions in computing times, the PSA algorithm proposed in the paper has shown significant improvements in solution quality for the largest of the test networks
Keywords :
convergence of numerical methods; parallel processing; power system analysis computing; power system planning; simulated annealing; transmission network calculations; transmission networks; asymptotic convergence; long-term transmission network expansion planning; parallel simulated annealing algorithm; sequential simulated annealing algorithm; Computational modeling; Concurrent computing; Cooling; Cost function; Electrical engineering; Parallel algorithms; Parallel processing; Sequential analysis; Simulated annealing; Testing;
Journal_Title :
Power Systems, IEEE Transactions on