Reactive Power Optimization of Distribution Network Based on Dual Population Ant Colony Algorithm

This paper has further researched on the reactive power optimization algorithm in distribution network aiming at the actual conditions that the reactive-load compensation equipment in the distribution network is insufficient and is in unreasonable distribution and the network loss is too large and the voltage quality needs to be further improvement. At first, this paper uses the minimum loss of the distribution system network as the objective function, establishing a mathematical model of reactive power integrated optimization which fits in with the actual distribution network. Then, aiming at the ant colony algorithm's disadvantage of long searching time and easy to stagnation, this paper proposes that we can carry out reactive power optimization by using dual population improved ant colony algorithm. Based on the ant colony algorithm, this algorithm carries on independent search by leading into two kinds of ant colony, and carries on information communication, breaking the stagnation of the single ant colony's searching in large probability, ensuring the variety of the solution in the algorithm, and raising the global convergence ability. Finally, this paper tests the feasibility and the availability of this algorithm by the simulative calculation of the IEEE6 system and comparing the results and the traditional optimization results.