Day-Ahead Optimal Scheduling of Park-Integrated Energy System Considering Electricity-Carbon-Green Certificate Market

doi:10.12204/j.issn.1000-7229.2023.12.004

Abstract

Abstract:

A park-integrated energy system (PIES) is the key to optimizing and upgrading energy systems and reducing carbon emissions in the power industry. How parks participate in the electricity-carbon-green certificate market by formulating trading strategies, improving overall efficiency, and reducing system carbon emissions is key to the rapid development of parks in the future open market environment. This study is based on the noncooperative game model of three parties in a park, constructing a power market operation framework of green electricity day-ahead market, conventional energy day-ahead market, and real-time market, and introducing a green certificate-carbon emission equivalent offset mechanism to achieve a connection between green certificate trading and carbon trading. A park comprehensive energy system day-ahead optimization scheduling model that considers the coupling of the electricity-carbon-green certificate market was proposed. Finally, the improved particle swarm optimization algorithm and alternating direction multiplier method are utilized to solve the nonlinear model and verified in a typical park in Shanghai. The results indicated that the proposed method could effectively reduce carbon emissions in the park, and the proportion of green electricity in the total electricity consumption of the park increased by 6.4%.

Key words: park-integrated energy system (PIES), electricity-carbon-green certificate market, green certificate-carbon emission equivalent offset mechanism, noncooperative game, day-ahead optimal scheduling

CLC Number:

TM73

LIANG Zeqi, ZHOU Yun, FENG Donghan, GUO Lingyu, DU Yang. Day-Ahead Optimal Scheduling of Park-Integrated Energy System Considering Electricity-Carbon-Green Certificate Market[J]. ELECTRIC POWER CONSTRUCTION, 2023, 44(12): 43-53.

Figures/Tables 16

Fig.1 Schematic diagram of energy flow in PIES

Fig.2 Schematic diagram of internal transaction mechanism of PIES

Fig.3 Schematic diagram of coupling mechanism of the electricity-carbon-green certificate market

Fig.4 Overall market-oriented operation framework of PIES

Fig.5 Algorithm flowchart

Fig.6 Electric load and DE forecasting curve

Fig.7 Electricity market price curve

Table 1 Operation and market parameters

Fig.8 Scheduling results of EO

Fig.9 Scheduling results of DEU

Fig.10 Scheduling results of EVA

Table 2 Each scenario information

Table 3 Scheduling results of different scenarios

Fig.11 Impacts of green certificate price and carbon quota price on market strategy

Table 4 Comparison of algorithm particle swarm optimization iterations and total solution time

Fig.12 Comparison of algorithm convergence

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