Effective reservoir operation is achieved using suitable rule curves to control the release of water following the release criteria. Conditional cuckoo search (CCS) algorithms and conditional particle swarm optimisation (CPSO) were linked with a reservoir simulation model to identify adaptive optimal reservoir rule curves. Three cases (normal, dry and wet years) were considered when producing the rule curves depending on the inflow pattern and inflow period. Lampao reservoir in Thailand was used to illustrate application of the method. The results showed that the new rule curve patterns produced by CCS algorithms and CPSO in a normal year were similar to the patterns obtained by conditional ant colony optimisation and current usage patterns. However, the obtained rule curves for wet and dry years were quite different from those for the normal year. Average water shortages using the normal-year inflow were less than using the dry-year inflow by 24·05% and 18·92% for CCS and CPSO models, respectively. Situations of water shortage when using the normal-year rule curves can best mitigate the water situation. In conclusion, the adaptive rule curves were suitable for reservoir operation under all inflow cases.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.