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This study presents a comprehensive analysis evaluating the impact of the dispatch strategy on the optimal design configurations of different combinations of solar power plants with storage. The analysis considers four dispatch profiles (baseload, daylight, night, and daylight and evening), and four technology combinations including a solar PV plant with batteries, a CSP plant with Thermal Storage (TES), a hybrid CSP-PV plant with TES, and a hybrid CSP-PV plant with TES and batteries. Two locations with high and moderate levels of DNI were selected and cost scenarios for 2020 and 2030 were considered. The aim is to determine the competitiveness ranges of each technology combination and establishing the least-cost technological option that allows meeting a dispatch strategy with a certain level of supply guarantee. A multi-objective optimization approach was followed to obtain the trade-off curves that minimize the LCOE and maximize the sufficiency factor in terms of the nominal size of the PV plant, solar multiple, TES size, batteries capacity, and inverter power rate. Results of this work allow determining the influence of the dispatch strategy on the competitiveness of these storage-integrated technology options, giving relevant information concerning under which conditions one technology combination is preferable over another. • The lowest LCOEs were obtained in baseload and the highest for the night dispatch. • When covering daylight and evening dispatch, the PV-BESS plant is more competitive. • The hybrid CSP-PV-TES-BESS is the most competitive option for >12 h storage. • Future 2030 cost projections have a greater impact on the LCOE reduction of the PV-BESS plant. • With DNI∼2000 kWh/m2/yr, the PV-BESS plant is the most competitive technology for all the cases. [ABSTRACT FROM AUTHOR]