Optimal Decision-making of Multi-market Trading of Power Sales Companies Based on Renewable Portfolio Standard on Electricity-Consumption Side

Mu, Yicheng; Yao, Hanbing; Du, Zhen’an; Hu, Yuchuan

doi:10.1088/1757-899x/782/3/032110

Cited by 2 publications

(3 citation statements)

References 2 publications

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“…. ΔP m n represents demand response load; Δt represents the sampling period of user power consumption [8]. e user demand response data is extracted using the above technique, and the partial least square approach is utilized to forecast the user's flexible power consumption rule.…”

Section: Extract Demand Response Data and Predict Flexible Powermentioning

confidence: 99%

“…However, this research fails to improve the revenue of the power selling company to a certain extent. Mu et al [8] compared the trading revenue of power selling businesses in the electricity market, green certificate market, and transferable load market. ey investigated the operational strategy of power selling companies to produce the most profit and to use it as a reference for multimarket trading decision-making by electricity selling companies.…”

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confidence: 99%

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Research on Modeling the Optimization of Power Load Combination for Power Sales Company

Liu¹,

Li²,

Yao³

et al. 2022

Mobile Information Systems

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The power sales company is an important component of the power trading market. It can be used not only as the primary body for purchasing power from market transactions but also as the primary body for transferring power to the market and consumers, altering the distribution network’s power flow distribution and having a significant impact on the distribution network’s power supply capacity. The fundamental goal of the power sales company is to maximize the benefits by adjusting the power load distribution in response to changes in the power consumption of users. Based on the consideration of users’ flexible power consumption, this paper studied the load combination optimization modeling method of the power sales company. The building users are taken as the research object and the flexible power consumption type is determined based on various power values. The demand response data is extracted by load characteristic index and power consumption index, and the flexible power consumption law is predicted by a standardized matrix. Furthermore, using Hansen threshold theory, the load rate is computed and the grading is changed, and three groups of load combination schemes are obtained from the simulation test. Results show that the load combination of user 03, user 05, and user 07 is optimized in scheme C and the power sales profit of the power sales company is 26.31% and 22% higher than those of scheme A and scheme B, respectively. The proposed method can reduce the power purchase cost and increase the revenue of the power company by increasing the revenue from power sales.

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Section: Extract Demand Response Data and Predict Flexible Powermentioning

confidence: 99%

mentioning

confidence: 99%

Research on Modeling the Optimization of Power Load Combination for Power Sales Company

Liu¹,

Li²,

Yao³

et al. 2022

Mobile Information Systems

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show abstract

“…Morina et al [185] extend the scope to European firms, demonstrating that tradable green certificate schemes enhance long-term profitability. Shen et al [186] and Mu et al [187] contribute by investigating the economic efficacy of tradable green certificate markets and multi-market trading strategies under renewable energy quotas. Finally, Li et al [188] and Liu et al [189] explore investment strategies for thermal generation companies and the feasibility of achieving wind power grid parity, both through the lens of green certificate trading.…”

Section: Cluster 7: the Transformative Role Of Green Certificates In ...mentioning

confidence: 99%

Green Certificates Research: Bibliometric Assessment of Current State and Future Directions

Chrysikopoulos,

Chountalas,

Georgakellos

et al. 2024

Sustainability

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In recent years, sustainability initiatives and the prominence of renewables have emerged as pivotal priorities in addressing environmental, ecological, and socioeconomic challenges. Within this context, green certificates—representing proof of electricity generation from renewable sources—have gained substantial recognition, enabling organizations to demonstrate their commitment to clean energy. This study employs a bibliometric analysis to chart the evolution and current state of green certificates research. Drawing from the Scopus database, we sourced bibliographic data, resulting in a refined dataset of 940 documents spanning from 2000 to 2022. Through performance analysis, we systematically evaluated the landscape of green certificates research, assessing publication trends, identifying influential works, spotlighting prolific authors, highlighting leading academic institutions, mapping regional research hotspots, and pinpointing the top publishing journals in the domain. Employing science mapping techniques—such as co-authorship networks, keyword co-occurrence analysis, and bibliographic coupling—we delineated the collaborative patterns and the conceptual and intellectual structure of the field. This was further augmented by content analysis, revealing four salient research themes, emphasizing the consistent and central focus on support mechanisms and policies for renewable energy sources, sustainable renewable technologies and market dynamics, technological innovations and green certificate trading, and renewable energy sources investment strategies. Building on these findings, the paper concludes by outlining practical implications and prospective research avenues. These encompass a detailed understanding of renewable energy support mechanisms, the pivotal role of electricity disclosure in enhancing transparency, and the transformative potential of emergent technologies, such as artificial intelligence and blockchain, in the green certificate trading landscape. The research also emphasizes the fundamental role of guarantees of origin in advancing sustainability goals, the dynamic discourse on green hydrogen certification standards, and the intricate dynamics of trading mechanisms in shaping investment strategies.

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Optimal Decision-making of Multi-market Trading of Power Sales Companies Based on Renewable Portfolio Standard on Electricity-Consumption Side

Cited by 2 publications

References 2 publications

Research on Modeling the Optimization of Power Load Combination for Power Sales Company

Research on Modeling the Optimization of Power Load Combination for Power Sales Company

Green Certificates Research: Bibliometric Assessment of Current State and Future Directions

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