Location And Capacity Of Distributed Generation In Distribution Network Planning

Along with China’s rapid economic development, the demand of electricity is also increasing. The centralized power supply mode faces great challenges. The distributed generation develops rapidly because DG could effectively alleviate the current problems of environment pollution, lack of energy, and economic.. Position and capacity of the accessed distributed generations have a direct impact on economy and reliability of distribution network. The research on the location and capacity of DG is great significant to the development of DG in both theoretical and practical respects.The effects of accessed DG in distribution network on active loss, the trend of power flow, voltage, protection, reliability and stability of grid are illustrated which is directly determined by the position and capacity of the accessed distributed generation.. Besides, the existing distribution network state analysis and artificial intelligence algorithms to solve the location and capacity configuration of distributed generation accessing to distribution network was analyzed in detail.A new method based on group search optimizer (GSO) is proposed to confirm location and capacity of DG. It defines a branch vector to satisfy the topology configuration of distribution network. GSO is integrated into the update method of branch vector. The method combines intelligent optimization with physical optimization, which improves the searching efficiency of global optimization. The example indicates the obtained optimal scenario of DG connected to distribution network effectively reduces power loss and improves the overall voltage level.When the wind power generations are connected to the grid, characteristics of random and intermittent would bring uncertainly to the distribution system. The expectations model with the purpose of minimum active loss is established, and scene strategies combined with the group search algorithm is proposed to solve the location and capacity of wind power generation accessed to distribution network, when they are at zero output state, owe rated output state, rated output state and the full scene state. Simulation results indicates that the proposed method is effective in the location and capacity of a single wind power generation accessed to distribution network at the same wind farm, and also in the location and capacity of multiple wind power generations accessed to distribution at multiple cases of wind farms.