Combined emission economic dispatch of power system including solar photo voltaic generation. (1st March 2015)
- Record Type:
- Journal Article
- Title:
- Combined emission economic dispatch of power system including solar photo voltaic generation. (1st March 2015)
- Main Title:
- Combined emission economic dispatch of power system including solar photo voltaic generation
- Authors:
- Khan, Naveed Ahmed
Awan, Ahmed Bilal
Mahmood, Anzar
Razzaq, Sohail
Zafar, Adnan
Sidhu, Guftaar Ahmed Sardar - Abstract:
- Highlights: Combined Emission Economic Dispatch Problem has been solved with inclusion of solar power plants. Mixed Integer Optimization Problem has been solved using Particle Swarm Optimization. Static and dynamic case studies have been considered. Clouds effect with 15% and 30% reduced radiations has also been taken into account. Simulation results prove the effectiveness of proposed model. Abstract: Reliable and inexpensive electricity provision is one of the significant research objectives since decades. Various Economic Dispatch (ED) methods have been developed in order to address the challenge of continuous and sustainable electricity provision at optimized cost. Rapid escalation of fuel prices, depletion of fossil fuel reserves and environmental concerns have compelled us to incorporate the Renewable Energy (RE) resources in the energy mix. This paper presents Combined Emission Economic Dispatch (CEED) models developed for a system consisting of multiple Photo Voltaic (PV) plants and thermal units. Based on the nature of decision variables, our proposed model is essentially a Mixed Integer Optimization Problem (MIOP). Particle Swarm Optimization (PSO) is used to solve the optimization problem for a scenario involving six conventional and thirteen PV plants. Two test cases, Combined Static Emission Economic Dispatch (SCEED) and Combined Dynamic Emission Economic Dispatch (DCEED), have been considered. SCEED is performed for full solar radiation level as well as forHighlights: Combined Emission Economic Dispatch Problem has been solved with inclusion of solar power plants. Mixed Integer Optimization Problem has been solved using Particle Swarm Optimization. Static and dynamic case studies have been considered. Clouds effect with 15% and 30% reduced radiations has also been taken into account. Simulation results prove the effectiveness of proposed model. Abstract: Reliable and inexpensive electricity provision is one of the significant research objectives since decades. Various Economic Dispatch (ED) methods have been developed in order to address the challenge of continuous and sustainable electricity provision at optimized cost. Rapid escalation of fuel prices, depletion of fossil fuel reserves and environmental concerns have compelled us to incorporate the Renewable Energy (RE) resources in the energy mix. This paper presents Combined Emission Economic Dispatch (CEED) models developed for a system consisting of multiple Photo Voltaic (PV) plants and thermal units. Based on the nature of decision variables, our proposed model is essentially a Mixed Integer Optimization Problem (MIOP). Particle Swarm Optimization (PSO) is used to solve the optimization problem for a scenario involving six conventional and thirteen PV plants. Two test cases, Combined Static Emission Economic Dispatch (SCEED) and Combined Dynamic Emission Economic Dispatch (DCEED), have been considered. SCEED is performed for full solar radiation level as well as for reduced radiation level due to clouds effect. Simulation results have proved the effectiveness of the proposed model. … (more)
- Is Part Of:
- Energy conversion and management. Volume 92(2015)
- Journal:
- Energy conversion and management
- Issue:
- Volume 92(2015)
- Issue Display:
- Volume 92, Issue 2015 (2015)
- Year:
- 2015
- Volume:
- 92
- Issue:
- 2015
- Issue Sort Value:
- 2015-0092-2015-0000
- Page Start:
- 82
- Page End:
- 91
- Publication Date:
- 2015-03-01
- Subjects:
- Economic Dispatch -- Renewable energy -- Particle Swarm Optimization -- Solar PV generation -- Combined Emission Economic Dispatch -- Dynamic Emission Economic Dispatch
Direct energy conversion -- Periodicals
Energy storage -- Periodicals
Energy transfer -- Periodicals
Énergie -- Conversion directe -- Périodiques
Direct energy conversion
Periodicals
621.3105 - Journal URLs:
- http://www.sciencedirect.com/science/journal/01968904 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.enconman.2014.12.029 ↗
- Languages:
- English
- ISSNs:
- 0196-8904
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3747.547000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 5506.xml