Fast Multi-Energy Systems Reliability Evaluation Using Multi-Parametric Linear Programming

Abstract

Multi-energy systems (MES) make it possible to supply one load by several energy infrastructures, thus increasing the reliability of energy supply compared to separate energy systems (SES). To accurately and efficiently evaluate the reliability of MES, this paper proposes a fast MES reliability evaluation method using multi-parametric linear programming (MPLP). The energy conversion, transmission and storage in MES are compactly and linearly descried by energy hub model, making the load curtailment optimization problem of MES a linear programming (LP) problem. MPLP is introduced to avoid computational burdens caused by iteratively solving LP problems for a large number of samples during the evaluation process. Case studies are conducted on both imaginary MES and SES. The results show that the proposed method improves the evaluation efficiency by an order of magnitude compared to the traditional LP method and the reliability of energy supply is distinctly improved due to energy integration.