Affiliations: [a]
Department of Electrical Engineering, Lorestan University, Khorramabad, Iran
| [b]
Department of Electrical Engineering, University of Mohaghegh Ardabili, Ardabil, Iran
Correspondence:
[*]
Corresponding author. Behrooz Rezaeealam, Department of Electrical Engineering, Lorestan University, Khorramabad, Iran. Tel.: +98 9163988261; E-mail: [email protected].
Abstract: Due to the necessity of using distributed generation and storage devices in the operation of power systems and with the advancement of technology and industry in the distribution networks, network operators are trying to transform these systems from passive distribution networks to active ones. To this aim, the present study introduces a novel model to exploit an active distribution network from the cost, operation conditions, and reliability points of view. A shared demand management procedure in the presence of storage devices and price-responsive loads is used to improve operational efficiency, and it is presented using a sensitivity matrix. Probability density functions (PDFs) are used to model uncertainty in power generated by wind systems and PVs, and the fuzzy membership function is used to improve the voltage profile of the network. To optimize the objective function, given that the problem goals are not of the same kind, the multi-objective genetic algorithm, based on the non-dominated concept, is implemented. Proposed optimal planning and exploiting of the active distribution network based on the shared demand management procedure, not only maximize profit, because of peak shaving, upgrade deferral, power exchange, and loss reduction but also, technical indexes and reliability improvement are obtained due to energy storage systems (ESS) and price-responsive loads simultaneous management. The rationality and effectiveness of the proposed method are verified by the simulation results of a 33-bus active distribution network.
Keywords: Active distribution network, energy storage, non-dominated sorting, shared demand management
