Honeycomb Active Distribution Network: A Novel Structure of Distribution Network and Its Stochastic Optimization

It is increasingly harder for the distribution network with conventional structure to cope with the significant growth and penetration of large quantities of distributed renewable energy and the application of various power electronic devices, meanwhile the uncertainties of intermittent energy and consumer loads also bring challenges to distribution system operators (DSOs). This paper proposes a novel honeycomb structure of distribution network with smart power/information exchange station (SPIES) to overcome the shortcomings of conventional distribution network. The characteristics and promising advantages of the proposed honeycomb active distribution network (HADN) are firstly presented. Then a two-stage energy dispatching model of HADN is established, consisted of the day-ahead dispatch and real-time operation. The former is based on forecasted data and the latter includes the system uncertainties, which bring the finical risks. Inspired by the risk management in the financial sector, the risk of uncertainties in the energy dispatch of HADN is modeled using the conditional value-at-risk (CVaR). Therefore, a two-stage stochastic energy dispatching model with CVaR for HADN is studied in this papar, and its feasibility is tested and verified through the numerical simulation, in which Monte Carlo method and cluster analysis are adopted to simulate uncertainties. The results in this paper reveal the feasibility of the energy dispatching method for HADN considering risk and the important role of SPIES, which can provide the guidelines for implementation and economic dispatch of HADN.