Low Carbon Optimized Operation Considering Carbon Capture and Spinning Reserve Capacity

doi:10.12204/j.issn.1000-7229.2024.01.010

Abstract

Abstract:

This paper proposes a low-carbon optimization methodology that considers carbon capture and rotating standby capacity allocation to reduce the carbon emissions of power systems, promote grid connection and consumption of large-scale wind power, and study the impact of wind power uncertainty on system operation. First, the operating mechanism and standby principle of the integrated flexible operation of a carbon capture plant are analyzed. Second, the system operation risk caused by wind power and load forecast error is considered, and the risk during the optimization process is measured using the conditional value-at-risk (CVaR), and a low-carbon optimal dispatch model of the proposed methodology is established to optimize the operation cost of the system. Finally, the stochastic problem in this paper is determined using Latin hypercubic sampling and scenario reduction. The IEEE 39-node system is analyzed as an example, which verifies that the carbon capture plant can reduce CO₂ emissions and provide rotating standby capacity for the system. Additionally, it provides more options for the scheduling decision-makers to improve the low-carbon optimization, robustness, and economy of the system.

Key words: wind power consumption, carbon capture, rotating reserve capacity, operational risk, low-carbon optimal scheduling

CLC Number:

TM73

KOU Yang, WU Jiahui, JIANG Huan, ZHANG Hua, YANG Jian. Low Carbon Optimized Operation Considering Carbon Capture and Spinning Reserve Capacity[J]. ELECTRIC POWER CONSTRUCTION, 2024, 45(1): 102-111.

Figures/Tables 12

Fig.1 Comprehensive and flexible operation of carbon capture system

Fig.2 Energy flow of carbon capture power plant

Fig.3 Two different plant backup principles

Fig.4 Optimize the solving process of scheduling model

Fig.5 Forecast value of wind power and load

Fig.6 Wind power output scenario

Table 1 Three-scenario scheduling operation cost

Fig.7 Impact of different wind penetration rates on system rotating standby

Fig.8 Rotary reserve capacity pair analysis

Fig.9 Comparison of carbon capture energy consumption in two scenarios

Fig.10 Flow change of solution storage

Table 2 Economic operation indicators under different line preference coefficients

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