Coordinating network expansion with demand-side resource allocation to obtain maximum benefits has become a significant issue for the utilities after founding the affiliated energy service company（ESCO）.In this background，a novel grid-side integrated resource planning（GIRP）model is presented.By quantitatively simulating both independent and simultaneous effects of energy efficiency and demand response programs on the load curve，a bi-level coordinating planning model is developed，which balances the objectives of both utility and affiliated ESCO.The genetic algorithm（GA）is used to solve the proposed model.The rationality and superiority of the approach is verified with a case study of grid-side integrated resource planning（GIRP）as compared with two other representative planning modes.Finally，a sensitivity analysis is made for several uncertain factors，providing theoretical guidance to future power network planning.