Stochastic planning of integrated power and natural gas networks with simplified system frequency constraints

Abstract

With growing investment in power generation based on natural gas (NG), restrictions in gas transmission capabilities are becoming increasingly related to the operational planning of electrical networks. Besides, the NG system contingency can lead to the inaccessibility of NG power generation units and inevitably jeopardize power system security. On the other hand, one of the significant challenges in the power system is the inadequacy or disability of renewable energy sources (RESs) in providing primary frequency response. To address these problems, we investigate the security-constrained joint expansion planning problem for the integrated power and natural gas system (IPNGS) by appending novel constraints describing the simplified system frequency response. An improved model of the frequency response is presented to find out the system minimum frequency in IPNGSs. Also, we utilize the linearization technique in the model to have a novel formulation based on mixed-integer linear programming (MILP). The model is robust against load demand and wind power uncertainties to guarantee that the IPNGS can tolerate possible N-1 contingency events of the power transmission line or gas pipeline. The results demonstrate that the proposed technique can be employed to IPNGS in the presence of RESs without violating system frequency constraints.