Reliability constrained dynamic generation expansion planning using honey badger algorithm.

ABSTRACT: Generation expansion planning (GEP) is a complex, highly constrained, non-linear, discrete and dynamic optimization task aimed at determining the optimum generation technology mix of the best expansion alternative for long-term planning horizon. This paper presents a new framework to study the GEP in a multi-stage horizon with reliability constrained. GEP problem is presented to minimize the capital investment costs, salvage value cost, operation and maintenance, and outage cost under several constraints over planning horizon. Added to that, the spinning reserve, fuel mix ratio and reliability in terms of Loss of Load Probability are maintained. Moreover, to decrease the GEP problem search space and reduce the computational time, some modifications are proposed such as the Virtual mapping

SUBMITTER: Abou El Ela AA 

PROVIDER: S-EPMC10556132 | biostudies-literature | 2023 Oct

REPOSITORIES: biostudies-literature