A Power System Optimal Dispatch Strategy Considering the Flow of Carbon Emissions and Large Consumers
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School of Electrical Engineering, Wuhan University, Wuhan 430072, China
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Department of Electrical, Computer, and Biomedical Engineering, University of Rhode Island, Kingston, RI 02881, USA
*
Author to whom correspondence should be addressed.
Academic Editor: Neville Watson
Energies 2015, 8(9), 9087-9106; https://doi.org/10.3390/en8099087
Received: 25 May 2015 / Revised: 14 August 2015 / Accepted: 20 August 2015 / Published: 26 August 2015
(This article belongs to the Collection Smart Grid)
The carbon emissions trading market and direct power purchases by large consumers are two promising directions of power system development. To trace the carbon emission flow in the power grid, the theory of carbon emission flow is improved by allocating power loss to the load side. Based on the improved carbon emission flow theory, an optimal dispatch model is proposed to optimize the cost of both large consumers and the power grid, which will benefit from the carbon emissions trading market. Moreover, to better simulate reality, the direct purchase of power by large consumers is also considered in this paper. The OPF (optimal power flow) method is applied to solve the problem. To evaluate our proposed optimal dispatch strategy, an IEEE 30-bus system is used to test the performance. The effects of the price of carbon emissions and the price of electricity from normal generators and low-carbon generators with regards to the optimal dispatch are analyzed. The simulation results indicate that the proposed strategy can significantly reduce both the operation cost of the power grid and the power utilization cost of large consumers.
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Keywords:
carbon emissions trading market; large consumers; theory of carbon emission; OPF (optimal power flow)
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MDPI and ACS Style
Yang, J.; Feng, X.; Tang, Y.; Yan, J.; He, H.; Luo, C. A Power System Optimal Dispatch Strategy Considering the Flow of Carbon Emissions and Large Consumers. Energies 2015, 8, 9087-9106.
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