Finding an Optimal Structure of the Power System Multi-Agent Control by the Criterion of Local and Global Control Proximity

<jats:p>The article suggests a new method of figuring out an optimal structure of the power system multi-agent control. The suggested methods of the multi-agent control are based on the distributed optimization task solution. The target control function may be presented as the sum of target functions that correspond to the control agents. The task is to fi nd the optimal system structure that would provide the control close to ideal. The task of quick positioning in the average gradient fi eld obtained as the result of the calculation series of the glob- al ('ideal') target function has been solved. Along way, the problem of equal fi eld mapping of the average gradient has been handled.</jats:p>