Dynamic Economic Emission Dispatch Using Multi-Objective Hybrid Evolutionary Algorithm

Abstract:

Dynamic economic emission dispatch (DEED) is an important optimization task for power plants. The problem is a highly constrained multi-objective optimization problem involving conflicting objectives with both equality and inequality constraints. This paper introduces two objective functions of DEED model: the lowest generation cost and the smallest carbon emissions with power balance constraints, unit output constraints and unit ramp rate limits. Then the paper presents a multi-objective hybrid evolutionary algorithm (MHEA) to solve the DEED model. The MHEA is a hybrid optimization algorithm based on orthogonal initialization, improved differential operation with migration strategy, parameter adaptive control, multi-objective selection strategy and analytic hierarchy process based fuzzy technique (AFT). Numerical results of one test system demonstrate the capabilities of the proposed approach. Compared with other classical methods, the proposed approach gets better result.

• Periodical: Applied Mechanics and Materials (Volumes 291-294)
• Pages: 2154-2158
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.291-294.2154
• Online since: February 2013
• Authors: Lei Zhang, Jun Liu
• Keywords: Dynamic Economic Emission Dispatch, Hybrid Evolutionary Algorithm, Multi-Objective Optimization (MOP)

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