Multi-Objective Planning of Distributed Generation in the Electricity Network Considering the Interests of the Resource Investor and Network Operator

Due to the fast growth of energy consumption globally, distribution networks are seeking a solution to supply the required energy, considering the technical and economic conditions. In this research, distributed resources were planned in the distribution network, taking into account the interests of both the owner of the resources and the operation of the network. The objective function was designed to serve the interests of the owners of the distribution network, including the improvement of network parameters and the owners of distributed generation resources, which included the maximum possible profit from the sale of energy. The objective function was considered to be a combination of several linear functions. Due to the high reactance ratio in radial networks, forward-backward sweep load flow was used. Necessary constraints for the network with quality indicators were considered as equality and inequality constraints. For the location of distributed generators on the buses, the sensitivity factor was used and to achieve the final response of the objective function, the teaching–learning-based optimization (TLBO) algorithm was used and compared with particle swarm optimization. A standard 37-bus radial network was considered to evaluate the results of the proposed method. The simulation results show an improvement in power quality of the network and an increase in the profits of the owners of distributed generators.