An Optimal Method for Locating and Sizing Distributed Generations Considering Critical Infrastructures Interconnection for Urban Distribution Network Restoration

The urban distribution network will separated from the large-scale centralized power system when disasters occur, causing a series of internal random faults and resulting in serious shortage of energy supply. Distributed Generations (DGs) with renewable energy is significant to restore critical loads and the energy supplying of important interconnected infrastructures to maintain the operation of cities. This paper proposes an optimization method for locating and sizing DGs: (1) Monte Carlo simulation to set faulted scenarios of the urban distribution network after disasters. (2) A mixed integer second-order cone program (MISOCP) is proposed to minimize the number and capacity of DGs, considering the constraints of DGs, water supply network, distribution network and water-electricity coupling relationship. (3) Representative planning solutions are selected from the aspects of power supply reliability, DGs configuration economy, and faulted lines severity. (4) It is proved that the optimization method is effective, multiple-selectivity and forward-looking for the loads restoration and emergency response after disasters, so as to promote the sustainable development of cities with DGs’ low-carbon and flexibility.