Dynamic stochastic joint expansion planning of power systems, natural gas networks, and electrical and natural gas storage

Over the last decades, electricity generation from natural gas has substantially increased, mostly driven by low prices due to fracturing and lower extraction costs. The geographic distance between resources load centers calls for a holistic tool joint expansion of power systems networks. In this paper, Dynamic Stochastic Joint Expansion Planning (DSJEP) networks is proposed minimize investment operational costs systems. Electrical storage (ENGS) are considered as an option decision-makers in DSJEP problem. approach takes into account long-term uncertainties electric demands through scenario realizations. dynamic planning, more needs time computation; therefore, reduction implemented eschew unnecessary scenarios. formulation on four-bus system with five-node network. To demonstrate efficiency scalability approach, it also tested IEEE 118-bus 14-node numerical results that ENGS can reduce total cost, up 52% test cases, 3%. co-planning considering electrical represented. Also, growth taken model real situations. purpose investing