Optimal Expansion Planning of Integrated natural gas and electricity network with high penetration of wind and solar power under uncertainty

Abstract

The utilisation of gas-fired generators (GFGs) has expanded in recent decades, increasing the link between electricity and natural gas network (NGN). As a result, regardless of interconnectedness, planning any particular system rises the total cost of the entire system. An effective expansion planning optimization model for an integrated NGN and electrical distribution networks is presented in this paper. To be more specific, the suggested model's objectives are to determine which and where candidate pipes, compressors, and electrical lines should be constructed in order to obtain the lowest feasible investment cost while fulfilling future energy demands. Furthermore, the proposed model uses a scenario Tree to account for the stochastic and intermittent characteristics of wind and solar power supply including load demand. GAMS and the CPLEX solver are used to deduce a new model stated by a mixed-integer nonlinear stochastic profile. On a modified 16bus UK generic electricity distribution system (UKGDS) and a modified Belgian 20-node NG distribution scheme, the success of the suggested model is validated. Numerical results shows a 10% reduction cost when both integrated networks are plan simultaneously as compared to the traditional method in which natural gas and electricity networks are plan separately.