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Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
energy
Economic-environmental energy and reserve scheduling of smart distribution systems: A multiobjective mathematical programming approach
Energy Conversion and Management, Volume 78, Year 2014
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Description
In this paper a stochastic multi-objective economical/environmental operational scheduling method is proposed to schedule energy and reserve in a smart distribution system with high penetration of wind generation. The proposed multi-objective framework, based on augmented ε-constraint method, is used to minimize the total operational costs and emissions and to generate Pareto-optimal solutions for the energy and reserve scheduling problem. Moreover, fuzzy decision making process is employed to extract one of the Pareto-optimal solutions as the best compromise non-dominated solution. The wind power and demand forecast errors are considered in this approach and the reserve can be furnished by the main grid as well as distributed generators and responsive loads. The consumers participate in both energy and reserve markets using various demand response programs. In order to facilitate small and medium loads participation in demand response programs, a Demand Response Provider (DRP) aggregates offers for load reduction. In order to solve the proposed optimization model, the Benders decomposition technique is used to convert the large scale mixed integer non-linear problem into mixed-integer linear programming and non-linear programming problems. The effectiveness of the proposed scheduling approach is verified on a 41-bus distribution test system over a 24-h period. © 2013 Elsevier Ltd. All rights reserved.
Authors & Co-Authors
Zakariazadeh, Alireza
Iran, Tehran
Daneshgahe Elm va Sanat e Iran
Siano, Pierluigi
Italy, Salerno
Università Degli Studi Di Salerno
Statistics
Citations: 204
Authors: 2
Affiliations: 2
Identifiers
Doi:
10.1016/j.enconman.2013.10.051
ISSN:
01968904