Robust Multi-Area Economic Dispatch Using Coulomb’s and Franklin’s Laws Based Optimizer

The multi-area economic load dispatch (MAELD) can reduce running costs through making the areas with more cost-effective units produce more energy. The excess power is transferred to the areas with expensive units. This paper contributes a new physics inspired metaheuristic approach called the Coulomb’s and Franklin’s laws based optimizer (CFLBO) to solve the MAELD problem. The CFLBO approach is developed from Coulomb’s and Franklin’s theories, which comprise attraction/repulsion, probabilistic ionization, and contact stages. The effectiveness of the envisaged CFLBO approach has been examined on three standard test systems with various areas. Results obtained by the CFLBO approach are compared with the exchange market algorithm (EMA) and the existing state-of-the-art approaches to deal with MAELD. Numerical outcomes show the benefits of the quick convergence and better quality of the suggested approach compared to existing strategies. Consequently, the proposed approach is a helpful tool for generation planning in MAELD problems.

[1]  Arunachalam Sundaram,et al.  Combined Heat and Power Economic Emission Dispatch Using Hybrid NSGA II-MOPSO Algorithm Incorporating an Effective Constraint Handling Mechanism , 2020, IEEE Access.

[2]  Q. Henry Wu,et al.  Wind-thermal power system dispatch using MLSAD model and GSOICLW algorithm , 2017, Knowl. Based Syst..

[3]  P. Somasundaram,et al.  Fuzzified Particle Swarm Optimization Algorithm for Multi-area Security Constrained Economic Dispatch , 2011 .

[4]  Malabika Basu,et al.  Artificial bee colony optimization for multi-area economic dispatch , 2013 .

[5]  V. H. Quintana,et al.  Constrained Economic Dispatch of Multi-Area Systems Using the Dantzig-Wolfe Decomposition Principle , 1981 .

[6]  Manisha Sharma,et al.  Reserve constrained multi-area economic dispatch employing differential evolution with time-varying mutation , 2011 .

[7]  S. M. Shahidehpour,et al.  Heuristic multi-area unit commitment with economic dispatch , 1991 .

[8]  V.H. Quintana,et al.  Constrained Economic Dispatch of Multi-Area Systems Using the Dantzig-Wolfe Decomposition Principle , 1981, IEEE Transactions on Power Apparatus and Systems.

[9]  W. Grady,et al.  A Practical Approach to Unit Commitment, Economic Dispatch and Savings Allocation for Multiple-Area Pool Operation with Import/Export Constraints , 1980, IEEE Transactions on Power Apparatus and Systems.

[10]  M. Basu,et al.  Teaching–learning-based optimization algorithm for multi-area economic dispatch , 2014 .

[11]  Li Li,et al.  CFA optimizer: A new and powerful algorithm inspired by Franklin's and Coulomb's laws theory for solving the economic load dispatch problems , 2018 .

[12]  M. J. Short,et al.  Neural networks approach for solving economic dispatch problem with transmission capacity constraints , 1998 .

[13]  D. Streiffert,et al.  Multi-area economic dispatch with tie line constraints , 1995 .

[14]  T. Jayabarathi,et al.  Evolutionary Programming-Based Multiarea Economic Dispatch with Tie Line Constraints , 2000 .

[15]  Thang Trung Nguyen,et al.  A high performance social spider optimization algorithm for optimal power flow solution with single objective optimization , 2019, Energy.

[16]  P. S. Manoharan,et al.  Evolutionary algorithm solution and KKT based optimality verification to multi-area economic dispatch , 2009 .

[17]  Mousumi Basu,et al.  Fast Convergence Evolutionary Programming for Multi-area Economic Dispatch , 2017 .

[18]  C. Wang,et al.  Decomposition Approach to Nonlinear Multiarea Generation Scheduling with Tie-line Constraints Using Expert Systems , 1992, IEEE Power Engineering Review.