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:: Volume 6, Issue 11 (9-2017) ::
ieijqp 2017, 6(11): 42-53 Back to browse issues page
Evaluating the Impacts of Contractual Agreement between Hybrid System and Microgrid on Hybrid System Profit under Uncertainties in the Electricity Market
Ahmad Sadeghi Yazdankhah , Morteza Zare Oskouei
Associate Professor Sahand University of Technology
Abstract:   (211 Views)

In this paper, we propose a general framework to study the impact of contractual agreement between hybrid system and microgrid on hybrid system profit composed of wind farm, photovoltaic and pump-storage hybrid system considering uncertainties. The proposed method is concerned with optimal scheduling of pump-storage hybrid system, aiming to maximize the hybrid system profit under frequency based pricing for a day ahead electricity market. The pump-storage hydro plant is utilized to minimize unscheduled interchange flow and maximize the system benefit by participating in frequency control based on energy price. Because of uncertainties in power generation of renewable sources, generation scheduling is modeled by a stochastic optimization problem. In order to verify the efficiency of the method, the algorithm is applied for various scenarios with different wind and photovoltaic power cases in a day ahead electricity market. The numerical results demonstrate the effectiveness of the proposed approach.

Keywords: Frequency based pricing, Microgrid, Stochastic programing, Pumped storage hydro unit, Wind farm, Photovoltaic resources.
Full-Text [PDF 1469 kb]   (167 Downloads)    
Type of Study: Research | Subject: Special
Received: 2016/09/15 | Accepted: 2017/05/6 | Published: 2017/09/19


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Sadeghi Yazdankhah A, Zare Oskouei M. Evaluating the Impacts of Contractual Agreement between Hybrid System and Microgrid on Hybrid System Profit under Uncertainties in the Electricity Market . ieijqp. 2017; 6 (11) :42-53
URL: http://ieijqp.ir/article-1-377-en.html


Volume 6, Issue 11 (9-2017) Back to browse issues page
نشریه علمی- پژوهشی کیفیت و بهره وری صنعت برق ایران Iranian Electric Industry Journal of Quality and Productivity
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