Modern electric distribution system with distributed Photo-Voltaic (PV) farms and energy storage units have been facing technical challenges due to the difficulty in managing them collectively. This dissertation presents new solutions for energy management of PV farms integrated power distribution systems using energy storage. First, a new local net active power management methodology for PV point of common coupling (PCC) is discussed. Further, this approach is extended as an integrated net active power management architecture based on an optimal ramp rate algorithm. The approach considers the ramp rate and state-of-charge of the energy storage device that can be used for resource allocation. Second, an integrated feeder level peak load management methodology with a load prediction approach is illustrated with the methodology applied to separated and decomposed load types. Third, a coordinated volt-var control approach considering a fast and slow change in the active power is illustrated. Fourth, a dynamic volt-var control approach with sensitivity based algorithm is illustrated. The novelty in the volt-var control approach is that the methodology coordinate with legacy devices and voltage source converters. Also, a dynamically changing framework is designed based on active and reactive power sensitivity. Finally, an integrated volt-var-watt control approach is illustrated. This approach coordinates with active and reactive power in the feeder considering the reactive and active power capability of the device.