Optimal Planning of Multiple Sources Included Energy Internet near User Side Based on Energy Router

Abstract

Because of the situations that the interconnection among multi distributed energy system (DES) and interaction among electric, heating and cooling system are not given full consideration, optimal planning of energy internet near user side based on bi-level programming is studied in this paper. First, schematic structure along with mathematic models of each unit is proposed and load characteristic is analyzed. Considering the interconnection of multiple energy as well as multiple distributed system and the combined dispatch of multi energy flow, a bi-level programming model is then presented. The minimum of total annual cost is the objective of upper model whose decision variables are the capacity of each energy unit and minimum annual operating cost is the lower model’s objective whose decision variables are the output of all energy units. Then, the elitist strategy genetic algorithm is employed to solve the upper model, and branch and bound algorithm is applied to optimizing lower model. The simulation results indicate that the proposed planning method of energy internet is effective, multiple energy flow interaction and multiple energy router interconnection are more economic than traditional combined cooling heating and electricity (CCHP) and can alleviate the mismatch of heat-to-electricity ratio between gas turbine and loads, and the multiple energy networks by which DES are interconnected contributes to higher economic benefits than single electric or heating network.