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Adaptive grid based multi-objective Cauchy differential evolution for stochastic dynamic economic emission dispatch

Huifeng Zhang1, Xiaohui Lei2, Chao Wang2

  • 1Institute of Advanced Technology, Nanjing University of Posts and Telecommunications, Nanjing, China.

Plos One
|September 30, 2017
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Summary

This study introduces an adaptive grid-based multi-objective Cauchy differential evolution (AGB-MOCDE) to solve the dynamic economic emission dispatch (DEED) problem under wind power uncertainty. The method effectively optimizes power systems, offering a valuable solution for real-world applications.

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Area of Science:

  • Electrical Engineering
  • Optimization Theory
  • Renewable Energy Systems

Background:

  • Integrating wind power into thermal power systems introduces uncertainty challenges for dynamic economic emission dispatch (DEED).
  • Stochastic characteristics of wind energy complicate traditional DEED models.
  • Accurate optimization is crucial for efficient and environmentally sound power system operation.

Purpose of the Study:

  • To propose an advanced optimization method for solving the stochastic DEED problem considering wind power uncertainty.
  • To enhance the efficiency and accuracy of DEED optimization in power systems with renewable energy integration.
  • To provide a robust framework for managing economic and emission objectives simultaneously.

Main Methods:

  • Development of an adaptive grid-based multi-objective Cauchy differential evolution (AGB-MOCDE).
  • Scenario generation and probability calculation using cumulative distribution functions to model wind power uncertainty.
  • Implementation of a reduction mechanism for scenario numbers and constraint-handling techniques for system balance and transmission loss.

Main Results:

  • The proposed AGB-MOCDE effectively optimizes the stochastic DEED problem across multiple test systems.
  • The method successfully handles all system constraints, including load balance and transmission loss.
  • Optimized schemes demonstrate reduced interval optimization conservation, enhancing practical applicability.

Conclusions:

  • The AGB-MOCDE provides a superior approach for stochastic DEED compared to existing methods.
  • The developed technique offers a more valuable and practical optimal scheme for power systems with wind integration.
  • This research contributes to more efficient and sustainable energy management in complex power grids.