Due to the proliferation of renewable power generation and the adoption of carbon capture technologies aiming to reduce carbon dioxide emissions and alleviate environmental pollution, various uncertainties accompany the use of environmental-economic dispatch method. A two-stage robust optimization framework affords one of the best approaches used for coping with these uncertain factors. However, this approach has handiest been applied in optimization problems with sole objective. As a way of providing the most desirable and efficient control of carbon emissions, high generation cost as a result of energy consumption in carbon capture plants needs to be considered also.
A group of researchers led by Dr. Wei Wei from Tsinghua University and in collaboration with Dr. Jianhui Wang from Argonne National Laboratory in USA and professor Tiejiang Yuan from Xinjiang University in China proposed a robust environmental-economic dispatch method which provides both energy optimization and reverse scheduling while considering the operation of carbon capture plants and volatility of large-scale wind power generation. Additionally, they made use of a Nash bargaining criterion to strike a balance between generation cost and carbon emission without a clear carbon tax or emission cap for building a single-objective optimization model with clear physical meaning. The research work is now published in the journal, Applied Energy.
The authors devised a non-parametric scalarization model for the environmental-economic dispatch problem, which is shown to be equivalent to a second-order cone program, and suggested an adaptive scenario generation algorithm to solve the robust model in a tractable manner. The computations of the Pareto front could be achieved by using the ɛ-constraint method since both of the objectives under investigation are convex functions.
With the provision of the formulated environmental-economic dispatch model incorporating carbon capture plants and volatile wind generation, PJM 5-bus system and IEEE 118-bus system were used as case studies.
Simulation results from the PJM 5-bus system with a robust environmental-economic dispatch and absence of capture facilities gave a generating cost of $39,085 and carbon dioxide emission of 1166 tons, while the inclusion of contrived capture facilities led to a generating cost of $42, 123 and carbon dioxide emissions of 921 tons. The included capture facility led to an increase of 7.77% generating cost and a reduction of 26.6% carbon emission compared with the situation without capture facilities.
The carbon capture plants were also found to increase the system operating flexibility and enlarge the dispatchable region of wind power, as the energy consumption in capture facilities plays the role of spinning reserve capacity. Simulation results from the case studies of IEEE 118-bus system similarly verified the efficiency of the proposed methodology to perform the assigned task.
The proposed methodology in this study confirms that the combination of wind generation and carbon capture technology could provide an economic and environmental friendly operation for power systems, and the resulting dispatch problem can be solved in a theoretically sound manner.
W. Wei1, F. Liu1, J. Wang2, L. Chen1, S. Mei1, T. Yuan3, Robust Environmental-Economic Dispatch Incorporating Wind Power Generation and Carbon Capture Plants, Applied Energy 183 (2016) 674–684.Show Affiliations
- Department of Electrical Engineering, Tsinghua University, 100084 Beijing, China
- Argonne National Laboratory, Argonne, 60439 IL, USA.
- Department of Electrical Engineering, Xinjiang University, 830046 Urumqi, China
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