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This research examines a model of a wholesale electricity market including consumers and producers located at several nodes, transmitting lines, and energy storages. Tariff regulation aimed at shifting some part of consumption from peak zones of the schedule to off-peak time of the day is considered. Among producers, we distinguish renew- able energy sources with stochastic production volumes. They can be used to replace more expensive energy sources, but under adverse conditions should be replaced by reserve capacities with conventional technologies or energy storages. Problems of optimal regulation aimed at maximizing the expected social welfare are studied. We prove that optimal tariffs for consumers at every node and each time interval should correspond to average marginal supply costs for the node and the time. Optimal control strategies for energy storages are determined with account of their total charge volumes and maximum charging rates. We prove that, for every storage, the strategy corresponds to maximization of its profit from energy resale at the competitive market. A problem of the market infrastructure optimization is also studied. Proceeding from Lagrange theorem, we obtain the system of equations for determination of optimal parameters of the storages.