Chronological risk assessment approach of distribution system with concentrated solar power plant

It is anticipated that concentrated solar power (CSP) plant will become one of the significant resources for electric power generation in the near future. As the smaller scale CSP‐based generations are primarily connected in distribution systems, there is a need to assess risk‐based security for mid‐ to long‐term planning. To quantify the risk of static and dynamic security with CSP, a method based on chronological simulation has been proposed. A clustering, algorithm‐based scenario‐reduction technique has been used to utilise the data efficiently for chronological simulation while preserving the temporal information. A number of composite risk indices that truly reflect the system risk have been used to address the static and dynamic security of a distribution system. The proposed method has been applied to a medium voltage distribution system, 43‐bus system, to evaluate the static and dynamic risk with CSP and electric vehicles using the load profiles of North Queensland. Power profiles of a CSP system at Rockhampton, North Queensland, have been used for the simulation studies.