Optimizing Combined Emission Economic Dispatch for Solar Integrated Power Systems

The dispatch of power at minimum operational cost of thermal energy sources has been a significant part of research since decades. Recently, with increasing interests in renewable energy resources, the optimal economic dispatch has become a challenging issue. This paper presents combined emission ec...

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Bibliographic Details
Published in:IEEE access Vol. 4; pp. 3340 - 3348
Main Authors: Khan, Naveed Ahmed, Sidhu, Guftaar Ahmad Sardar, Gao, Feifei
Format: Journal Article
Language:English
Published: Piscataway IEEE 2016
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
Economic dispatch
Economic models
Economics
Emission
Energy sources
Integer programming
Mixed integer
Model testing
Newton-Raphson method
Particle swarm optimization
photo voltaic
Photovoltaic systems
Power dispatch
Power system economics
power systems
Power systems planning
Programming
PSO
Solar energy
Thermal energy
ISSN:2169-3536, 2169-3536
Online Access:Get full text
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Summary:The dispatch of power at minimum operational cost of thermal energy sources has been a significant part of research since decades. Recently, with increasing interests in renewable energy resources, the optimal economic dispatch has become a challenging issue. This paper presents combined emission economic dispatch model for a solar photo voltaic integrated power system with multiple solar and thermal generating plants. We formulate mixed integer binary programming problem subject to various practical constraints. A decomposition framework is proposed where the original problem is split into two sub-problems. Particle swarm optimization, Newton-Raphson method, and binary integer programming techniques are exploited to find the joint optimization solution. The proposed model is tested on the IEEE 30 bus system. The simulation results demonstrate the effectiveness of the proposed model.
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ISSN:2169-3536
2169-3536
DOI:10.1109/ACCESS.2016.2587665