Multi-objective optimization model for optimal reconfiguration of distribution networks with demand response services

• Published in: Sustainable cities and society 2019-05, Vol.47, p.101514, Article 101514
• Main Authors: Tavakoli Ghazi Jahani, M.A., Nazarian, P., Safari, A., Haghifam, M.R.
• Format: Article
• Language: English
• Subjects: Demand response service (DRS); Distribution network; Optimal reconfiguration; Reliability; Uncertainty
• ISSN: 2210-6707; 2210-6715
• DOI: 10.1016/j.scs.2019.101514

•Optimal reconfiguration of distribution network.•Bi-objective model for minimizing power loss and improving reliability.•Epsilon-constraint method for solving proposed bi-objective model.•Fuzzy method to select trade-off solution between power loss and unsupplied energy.•Demand response service to further reduce power loss and enhance reliability. Distribution networks are energy sectors that usually deal with residential energy consumers whose expectations associated with voltage quality and other relevant issues should be taken into account. There are various factors that might threaten reliable/economic performance of the distribution networks. In this paper, optimal reconfiguration of distribution systems is studied under a multi-objective optimization model to enhance reliability and minimize power losses of distribution networks. The developed multi-objective model is solved with epsilon-constrained (EPC) method and the trade-off conditions are achieved with min-max fuzzy satisfying (MMFF) technique. Demand response services (DRSs) including time-of-use (TOU) mechanism are proposed to make the energy consumers capable of revising their energy usage pattern. The proposed framework is investigated regarding the IEEE 33-bus test system in general algebraic modeling systems (GAMS) and the results validating the effectiveness of the proposed model are presented and compared. According to the obtained results, after reconfiguring the distribution system under the proposed model, loss of power in the system is reduced and reliability of a system associated with energy not supplied (ENS) index is improved. After proposing DRS and having the consumers motivated to change their consumption pattern, the obtained values for the mentioned targets are more suitable.