The ever-increasing need for more reliable power supply as well as cost-e ective and environmentally friendly utilization of distributed energy resources will result in the formation of Multiple Micro-Grids (MMGs) in the near future of distribution system. To reach this prospect, coordination among MMGs is necessary. Accordingly, this paper proposes a new non-hierarchical multi-level architecture for the optimal scheduling of Active Distribution Network (ADN) with MMGs. The proposed model is a decentralized decision making algorithm to optimally coordinate the mutual interaction between local optimization problems of ADN and MMGs. A non-hierarchical Analytical Target Cascading (ATC) method is presented to solve the local optimization problems in parallel. Also, the underlying risks of energy trading caused by renewable generation uncertainty are re ected in both the objective functions and the constraints of local optimization problem. The numerical results of modi ed IEEE 33-bus distribution test system containing two microgrids demonstrate the e ectiveness and merits of the proposed model.

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Summary Doubly fed induction generators are widely used in wind power plants, yet their performance is vulnerable to grid voltage faults. Recent regulations require the wind generator to have the capability of fault crossing to stay connected even in faulty conditions. This paper investigates the problem of stabilizing the rotor current when the stator voltage is affected by the faults that occurred at the nearby grid. The proposed controller consists of 2 terms: the first is responsible for the internal stability of generator dynamics and the second compensates for the effect of the fault on the stator voltage. The stability of generator circuit is verified by using linear quadratic regulator and pole placement criteria. Also, to enhance the performance of the stabilizers, genetic algorithm is used to adjust the stabilizers. To detect the stator voltage disorders and to determine the suitable time for switching in fault stabilizers, a fault observer is also suggested. The fault detection and stabilization structure is simulated and shows higher levels of performance in faulty conditions than in conventional rotor side converter controllers in faulty grid conditions.