Resource allocation for smart grid communication based on a multi-swarm artificial bee colony algorithm with cooperative learning

This paper developed a relay assignment and power allocation algorithm for data aggregator units (DAUs) in smart grid in order to minimize the cost to the utility company. A cooperative communication network with multiple DAUs assisted by multiple relays was deployed at the demand side in smart grid, and the relay assignment and power allocation problem was formulated as a nonlinear programming problem. Using the penalty function method, we transformed the constrained nonlinear programming problem into an unconstrained optimization problem. Then we developed an multi-swarm artificial bee colony (MS-ABC) algorithm with cooperative learning to search for the optimum. Simulation results indicate that the optimal relay assignment and power allocation can reduce the cost to the utility company. Moreover, the MS-ABC algorithm shows good performances and search ability.