Abstract
Differential evolution (DE) is a promising evolutionary algorithm for solving the optimal reactive power flow (ORPF) problem, but it requires relatively large population size to avoid premature convergence, which will increase the computational time. On the other hand, evolutionary programming (EP) has been proved to have good global search ability. Exploiting this complementary feature, a hybrid algorithm of DE and EP, denoted as DEEP, is proposed in this study to reduce the required population size. The hybridisation is designed as a novel primary-auxiliary model to minimise the additional computational cost. The effectiveness of DEEP is verified by the serial simulations on the IEEE 14-, 30-, 57-bus system test cases and the parallel simulations on the IEEE 118-bus system test case.
| Original language | English |
|---|---|
| Article number | IGTDAW000004000001000084000001 |
| Pages (from-to) | 84-93 |
| Number of pages | 10 |
| Journal | IET Generation, Transmission and Distribution |
| Volume | 4 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - Jan 2010 |
ASJC Scopus subject areas
- Control and Systems Engineering
- Energy Engineering and Power Technology
- Electrical and Electronic Engineering