OPTIMIZATION OF THE FAR EAST WIND RESOURCES ENERGY EFFICIENCY ON THE BASIS OF THE SWARM INTELLIGENCE ALGORITHM

The paper shows the necessity of power consumption modes and energy balance optimization of an intelligent network (Smart Grid) with a function of two-way energy flow based on the alternative energy sources. In this regard, the concept of a generating consumer which provides the ability to flexibly regulate energy flows and equalize the load schedule as well as to minimize the financial costs of the consumed energy are introduced for the active consumers. The paper’s key point is the use of self wind resources which are quite large in the coastal zone of the Far East and on the Russky and Popov islands. A new mathematical model of the optimal energy balance has been developed with the participation of generating consumers and an alternative source of energy in the form of a wind resource as an intelligent system with a two-way flow of energy. Moreover, the paper proposes a system for selecting the priority of generation sources which minimizes the material and financial costs of the electric consumer. At the same time, the swarm particle of swarm algorithm is used as a universal method for solving the optimization multi-criterion problem. The new concept of an intelligent network with active consumers and a two-way flow of energy from alternative sources with the function of its accumulation allows significantly increasing the energy efficiency of wind resources using. Considering special status of some territories of the Far East and the shortage of energy resources, using of alternative energy of wind flows can largely solve the energy problem.

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