Energy Management of Virtual Power Plant to Participate in the Electricity Market Using Robust Optimization

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Mohebbi Gharavanlou M.; NOJAVAN S.; ZARE K.

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Journal Paper

Paper Information

Journal: JOURNAL OF OPERATION AND AUTOMATION IN POWER ENGINEERING Year:2020 | Volume:8 | Issue:1 Page(s): 43-56

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Title

Energy Management of Virtual Power Plant to Participate in the Electricity Market Using Robust Optimization

Author(s)

Mohebbi Gharavanlou M. | NOJAVAN S. | ZARE K. | Issue Writer Certificate

Keywords

Virtual power plant

Electricity market uncertainty

Robust optimization approach

Bidding and offering curves

Distributed energy resources

Abstract

Virtual power plant (VPP) can be studied to investigate how energy is purchased or sold in the presence of electricity market price uncertainty. The VPP uses different intermittent distributed sources such as wind turbine, flexible loads, and locational marginal prices (LMPs) in order to obtain profit. VPP should propose bidding/offering curves to buy/sell from/to day-ahead market. In this paper, Robust optimization approach is proposed to achieve the optimal offering and bidding curves which should be submitted to the day-ahead market. This paper uses mixed-integer linear programming (MILP) model under GAMS software based on Robust optimization approach to make appropriate decision on uncertainty to get profit which is resistance versus price uncertainty. The offering and bidding curves of VPP are obtained based on derived data from results. The proposed method, due to less computing, is also easy to trace the problem for the VPP operator. Finally, the price curves are obtained in terms of power for each hour, which operator uses the benefits of increasing or decreasing market prices for its plans. Also, results of comparing deterministic and RO cases are presented. Results demonstrate that profit amount in maximum robustness case is reduced 25. 91 % and VPP is resisted against day-ahead market price uncertainty.

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APA: Copy

Mohebbi Gharavanlou, M., NOJAVAN, S., & ZARE, K.. (2020). Energy Management of Virtual Power Plant to Participate in the Electricity Market Using Robust Optimization. JOURNAL OF OPERATION AND AUTOMATION IN POWER ENGINEERING, 8(1), 43-56. SID. https://sid.ir/paper/970649/en

Vancouver: Copy

Mohebbi Gharavanlou M., NOJAVAN S., ZARE K.. Energy Management of Virtual Power Plant to Participate in the Electricity Market Using Robust Optimization. JOURNAL OF OPERATION AND AUTOMATION IN POWER ENGINEERING[Internet]. 2020;8(1):43-56. Available from: https://sid.ir/paper/970649/en

IEEE: Copy

M. Mohebbi Gharavanlou, S. NOJAVAN, and K. ZARE, “Energy Management of Virtual Power Plant to Participate in the Electricity Market Using Robust Optimization,” JOURNAL OF OPERATION AND AUTOMATION IN POWER ENGINEERING, vol. 8, no. 1, pp. 43–56, 2020, [Online]. Available: https://sid.ir/paper/970649/en

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