Renewable power distribution networks considering dynamic-differential pricing, carbon trading, and solid waste recycling: A fuzzy programming approach

Abstract

In the energy market, community of prosumers play a great role to enhance the sustainability of power distribution networks. They generate energy for their own consumption and sell the surplus energy to an electricity company. In this study, a power plant considered communities of prosumers and consumers with the objective to determine the capacity of distributed renewable energy generation units established by the power company itself, the power generation capacity of the prosumers, the dynamic-differential prices offered to the prosumers and consumers, and the optimal buy-back price offered to buy the surplus energy generated by the prosumers. According to the numerical analysis, the prosumers generated 89.82% of the energy demand of the community where the rest of the energy demand is covered by the power from the distributed renewable energy resource units. Both the buy-back energy price that the energy company offered to the prosumers and the net profit that the power company earned increased as the fixed price increased and price elasticity decreased. As a result of its participation in carbon trading by establishing distributed renewable generation units and collecting renewable energy from the prosumers, the power company increased its net profit by 1.13%.