Using Information Gap Decision Theory to Evaluate the Hosting Capacity of Wind Farms in the Distribution Network in the Presence of Network Energy Management Strategies

The environmental concerns of the use of fossil fuels and the financial interests of governments have raised the necessity of installing renewable power plants in the distribution network. In order to make maximum use of these resources, it is necessary to calculate the hosting capacity of the network. The hosting capacity of the distribution network is the maximum allowed capacity for installing distributed generation in the network, according to operating restrictions. Wind farms are one of the renewable resources used in the power system. The presence of wind farms intensifies the uncertainties of network operation. In this article, the theory of Information Gap Decision has been used to model the uncertainties in the production of wind farms and the amount of hourly load to calculate the hosting capacity of the network.  The strategies of energy management of the network have been taken into account in order to increase the capacity. The network energy management strategies, considered in this article, include static var compensators, network reconfiguration, and power factor control of wind turbines. The correctness and the accuracy of the proposed modeling has been studied on 33 bus IEEE networks.