Optimal Power System Dispatch With Wind Power Integrated Using Nonlinear Interval Optimization and Evidential Reasoning Approach

Li, YZ, Wu, QH, Jiang, L ORCID: 0000-0001-6531-2791, Yang, JB and Xu, DL (2016) Optimal Power System Dispatch With Wind Power Integrated Using Nonlinear Interval Optimization and Evidential Reasoning Approach IEEE TRANSACTIONS ON POWER SYSTEMS, 31 (3). pp. 2246-2254. ISSN 0885-8950, 1558-0679

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Abstract

This paper presents the nonlinear interval optimization (NIO) model to solve optimal power system dispatch (OPSD) with uncertain wind power integrated. In this model, not only the average of the dispatching objective, but its deviation are also taken into account. Therefore, the NIO model based on OPSD is formulated as a multi-objective optimization problem. An optimization algorithm, group search optimizer with multiple producers (GSOMP) is applied to obtain Pareto solutions, which show the tradeoff relationship between the average and deviation of the dispatching objective. Then, a decision-making method, the evidential reasoning (ER) approach, is applied to determine the final dispatch solution. Simulation results based on the modified IEEE 30-bus system prove the applicability and effectiveness of the NIO model to deal with the OPSD, considering the integration of the uncertain wind power.

Item Type:	Article
Uncontrolled Keywords:	Evidential reasoning (ER), group search optimizer with multiple producers (GSOMP), multi-objective optimization, nonlinear interval optimization (NIO), wind power
Depositing User:	Symplectic Admin
Date Deposited:	01 Jun 2016 08:07
Last Modified:	16 Jun 2026 16:00
DOI:	10.1109/TPWRS.2015.2449667
Related Websites:	Author Publisher
URI:	https://livrepository.liverpool.ac.uk/id/eprint/3001454
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