scholarly journals Hybrid DE-SQP Method for Solving Combined Heat and Power Dynamic Economic Dispatch Problem

2013 ◽  
Vol 2013 ◽  
pp. 1-7 ◽  
Author(s):  
A. M. Elaiw ◽  
X. Xia ◽  
A. M. Shehata
Keyword(s):  
Power Systems ◽  
Economic Dispatch ◽  
Optimal Solution ◽  
Combined Heat And Power ◽  
Fine Tuning ◽  
Ramp Rate ◽  
Sqp Method ◽  
Power Dynamic ◽  
Global Optimizer ◽  
Dynamic Economic Dispatch

Combined heat and power dynamic economic dispatch (CHPDED) plays a key role in economic operation of power systems. CHPDED determines the optimal heat and power schedule of committed generating units by minimizing the fuel cost under ramp rate constraints and other constraints. Due to complex characteristics, heuristic and evolutionary based optimization approaches have became effective tools to solve the CHPDED problem. This paper proposes hybrid differential evolution (DE) and sequential quadratic programming (SQP) to solve the CHPDED problem with nonsmooth and nonconvex cost function due to valve point effects. DE is used as a global optimizer and SQP is used as a fine tuning to determine the optimal solution at the final. The proposed hybrid DE-SQP method has been tested and compared to demonstrate its effectiveness.

scholarly journals Combined Heat and Power Dynamic Economic Dispatch with Emission Limitations Using Hybrid DE-SQP Method

2013 ◽  
Vol 2013 ◽  
pp. 1-10 ◽  
Author(s):  
A. M. Elaiw ◽  
X. Xia ◽  
A. M. Shehata
Keyword(s):  
Optimal Solution ◽  
Combined Heat And Power ◽  
Fine Tuning ◽  
Ramp Rate ◽  
Sqp Method ◽  
Power Dynamic ◽  
Global Optimizer ◽  
Dynamic Economic Dispatch ◽  
Emission Dispatch ◽  
Constrained Multiobjective Optimization

Combined heat and power dynamic economic emission dispatch (CHPDEED) problem is a complicated nonlinear constrained multiobjective optimization problem with nonconvex characteristics. CHPDEED determines the optimal heat and power schedule of committed generating units by minimizing both fuel cost and emission simultaneously under ramp rate constraints and other constraints. This paper proposes hybrid differential evolution (DE) and sequential quadratic programming (SQP) to solve the CHPDEED problem with nonsmooth and nonconvex cost function due to valve point effects. DE is used as a global optimizer, and SQP is used as a fine tuning to determine the optimal solution at the final. The proposed hybrid DE-SQP method has been tested and compared to demonstrate its effectiveness.

scholarly journals Dynamic Economic Dispatch Using Hybrid DE-SQP for Generating Units with Valve-Point Effects

2012 ◽  
Vol 2012 ◽  
pp. 1-10 ◽  
Author(s):  
A. M. Elaiw ◽  
X. Xia ◽  
A. M. Shehata
Keyword(s):  
Quadratic Programming ◽  
Differential Evolution ◽  
Sequential Quadratic Programming ◽  
Economic Dispatch ◽  
Optimal Solution ◽  
Fine Tuning ◽  
Sqp Method ◽  
Test Systems ◽  
Global Optimizer ◽  
Dynamic Economic Dispatch

This paper presents hybrid differential evolution (DE) and sequential quadratic programming (SQP) for solving the dynamic economic dispatch (DED) problem for generating units with valve-point effects. DE is used as a global optimizer and SQP is used as a fine tuning to determine the optimal solution at the final. The feasibility of the proposed method is validated with five-and ten-unit test systems. Results obtained by DE-SQP method are compared with other techniques in the literature.

scholarly journals Combined Heat and Power Dynamic Economic Dispatch incorporating pumped hydro energy storage considering uncertainty and outage of renewable energy sources

2022 ◽  
Author(s):  
Chitralekha Jena
Keyword(s):  
Renewable Energy ◽  
Search Algorithm ◽  
Renewable Energy Sources ◽  
Economic Dispatch ◽  
Combined Heat And Power ◽  
Test System ◽  
Energy Sources ◽  
Hydraulic Unit ◽  
Power Dynamic ◽  
Dynamic Economic Dispatch

Owing to increasing penetration of renewable energy sources, it is mandatory to investigate it’s effect on the combined heat and power dynamic economic dispatch. At the same time , adverse effect is there due to highly intermittent nature and higher rate of outages of these sources . This piece of work proposes squirrel search algorithm (SSA) for solving combined heat and power dynamic economic dispatch (CHPDED) incorporating pumped-storage-hydraulic unit captivating uncertainty and outage of renewable energy sources. A lately developed swarm intelligence algorithm SSA, emulates from the dynamic scavenging behavior of squirrel. The competence of the recommended technique is examined on a test system. Simulation outcomes of the proposed technique is harmonized with those acquired by particle swarm optimization (PSO) and grey wolf optimization (GWO). After comparison, a conclusion was made presenting SSA technique conferring with good-quality solution than other techniques.

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