A chance-constrained dispatch for distribution networks to improve flexibility

After a high level of distributed photovoltaic (PV) is integrated into the distribution networks, the traditional dispatch of capacitors and switches can hardly deal with the strong uncertainty of PV power. Therefore, this paper proposes a chance-constrained dispatch method for distribution networks to improve flexibility using a variety of flexibility resources. Firstly, based on typical scenes, a multi-objective chance-constrained dispatch model including economy and flexibility is established. Secondly, a method based on the selection of clustered scene into typical scene set is proposed to find a solution satisfying the chance-constrained formulations. The efficiency and accuracy for the chance-constrained formulations are improved. Finally, the alternating solution method based on the improved Seagull optimization algorithm (SOA) combined with the improved Minty algorithm is proposed to not only reduce the solution space but also helping for finding an optimal or near optimal solution. The simulation of the actual power distribution system in Jinan area is to verify the accuracy and efficiency of the proposed model comparing with the existing methods.