This paper presents a long-term dynamic multi-objective planning model for distribution network expansion along with distributed energy options. The proposed model optimizes two objectives, namely costs and emissions and determines the optimal schemes of sizing, placement and specially the...

This paper presents a dynamic multi-objective model for distribution network expansion, considering the distributed generations as non-wire solutions. The proposed model simultaneously optimizes two objectives namely, total costs and technical constraint satisfaction by finding the optimal...

This paper proposes a hybrid possibilistic-probabilistic evaluation tool for analyzing the effect of uncertain power production of distributed generations (DGs) on active losses of distribution networks. The considered DG technologies are gas and wind turbines. This tool is useful for...

This paper designs and models a fully decentralized peer-to-peer energy token market for small-scale prosumers using blockchain technology in a smart grid environment in the presence of the demand response program (DRP) and demurrage mechanism. As the market players, prosumers in the local...

Osmotic energy is one of the renewable energies. This osmotic energy source is easily obtainable all over the world where river water flows into the ocean or sea. In this article, Bahmanshir River in Iran which falls into the Persian Gulf was considered as selected place for modeling and design...

This paper presents the short-term hourly scheduling of industrial and commercial customers with cogeneration facilities, conventional power units, and heat-only units. In order to serve the power and heat demands of the customer with minimum cost, demand response (DR) program has been...

Demand response (DR) programs are known as an effective solution for reducing power systems imbalance. However, with the integration of different forms of energy, e.g., electricity and heat, there is a need for developing conventional DR programs to make full use of demand-side resources. In...