Multi-objective planning model for simultaneous reconfiguration of power distribution network and allocation of renewable energy resources and capacitors with considering uncertainties

• Published in: Journal of Central South University Vol. 24; no. 8; pp. 1837 - 1849
• Main Authors: Ravadanegh, Sajad Najafi, Oskuee, Mohammad Reza Jannati, Karimi, Masoumeh
• Format: Journal Article
• Language: English
• Published: Changsha Central South University 01.08.2017; Springer Nature B.V
• Subjects: Capacitors; Combinatorial analysis; Costs; Economic forecasting; Electric potential; Electric power distribution; Electric utilities; Energy distribution; Energy resources; Energy sources; Engineering; Equipment costs; Fuzzy set theory; Fuzzy sets; Installation costs; Maintenance costs; Marketing; Markets; Metallic Materials; Multiple objective analysis; Networks; Power loss; Reconfiguration; Reliability; Renewable energy; Renewable resources; Voltage stability; genetic algorithm; optimal reconfiguration; capacitor allocation; uncertainty modeling; renewable energy resources sitting and sizing; electric distribution system; scenario based-stochastic programming; multi-objective
• ISSN: 2095-2899; 2227-5223
• DOI: 10.1007/s11771-017-3592-8

This research develops a comprehensive method to solve a combinatorial problem consisting of distribution system reconfiguration, capacitor allocation, and renewable energy resources sizing and siting simultaneously and to improve power system’s accountability and system performance parameters. Due to finding solution which is closer to realistic characteristics, load forecasting, market price errors and the uncertainties related to the variable output power of wind based DG units are put in consideration. This work employs NSGA-II accompanied by the fuzzy set theory to solve the aforementioned multi-objective problem. The proposed scheme finally leads to a solution with a minimum voltage deviation, a maximum voltage stability, lower amount of pollutant and lower cost. The cost includes the installation costs of new equipment, reconfiguration costs, power loss cost, reliability cost, cost of energy purchased from power market, upgrade costs of lines and operation and maintenance costs of DGs. Therefore, the proposed methodology improves power quality, reliability and security in lower costs besides its preserve, with the operational indices of power distribution networks in acceptable level. To validate the proposed methodology’s usefulness, it was applied on the IEEE 33-bus distribution system then the outcomes were compared with initial configuration.