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Dynamic Economic Dispatch With CHP and Wind Power Considering Different Time Scales | IEEE Journals & Magazine | IEEE Xplore

Dynamic Economic Dispatch With CHP and Wind Power Considering Different Time Scales

Publisher: IEEE

Abstract:

The integration of large-scale renewables into the multienergy system has brought a series of problems and challenges to the optimal dispatch of system, especially how to...View more

Abstract:

The integration of large-scale renewables into the multienergy system has brought a series of problems and challenges to the optimal dispatch of system, especially how to effectively realize the dispatch and accommodation of wind power. In this article, a dynamic economic dispatch (DED) model of wind/combined heat and power (CHP) hybrid energy system considering uncertainty of multiple wind farms and different dispatch time scales is proposed, which aims to minimize expected total energy generation cost based on the typical scenarios of upper bound of wind farm output. The spatial dependence of hourly output of multiwind farm is modeled by copula-based model and improved scenario reduction technique, and the different adjustment time scales of heating system and power system are modeled as well to achieve more reasonable and accurate system dispatching. In addition, an improved adaptive cuckoo search algorithm (ACSA) is proposed for the solution of the DED model of wind/CHP hybrid energy system with highly nonlinear constraints, and a shared parallel computing platform is employed to realize the acceleration of the ACSA. Finally, the corresponding numerical simulation and comparative analysis are performed on two test systems to verify the validity of the proposed model and method.
Published in: IEEE Transactions on Industry Applications ( Volume: 58, Issue: 5, Sept.-Oct. 2022)
Page(s): 5734 - 5746
Date of Publication: 05 July 2022

ISSN Information:

Publisher: IEEE

Funding Agency:


I. Introduction

Over the years, renewable energy, especially wind power, has grown significantly around the world. However, with the vigorous development of wind power, the phenomenon of wind curtailment has always existed in areas with abundant wind resources in China. In order to make full use of wind resources and accelerate the low-carbon transformation of power grid, how to effectively cope with the problem of wind abandonment has always been a great challenge for the industry. To sum up, the main reasons for the wind curtailment are as follows. First, the flexibility of power system is insufficient, and the regulation ability is lacking. It is known that wind power bears strong uncertainty, and it is difficult to accurately predict wind power based on current technology [1]. Therefore, the power system needs to be flexible enough to accommodate uncertain wind power. In addition, for some regions with large-scale wind farms and coal-dominated power structure such as the three-north region in China, the combined heat and power (CHP) units are mainly used to realize central heating for heat users during the cold season, resulting in a further decline in the flexibility of power system due to the strong coupling between electricity and heat. Second, there is no way to accommodate all the wind power due to the low local load level. In particular, the ‘antipeaking' characteristics of wind power further exacerbate this problem. In addition, in the cold season, the CHP unit will generate a large amount of electric power when heating, which further reduce the accommodation space of wind power. In this case, if the power-to-heat devices are configured in the wind/CHP hybrid energy system to realize wind power heating, which can effectively improve flexibility of power system and promote wind power accommodation.

References

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