Profit Allocation of Hybrid Power System Planning in Energy Internet: A Cooperative Game Study

Liu, Jicheng; He, Dandan

doi:10.3390/su10020388

Cited by 9 publications

(7 citation statements)

References 36 publications

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“…Operationally, the 4IR ironically offers small enterprises both an opportunity and a burden. E-commerce is a prime example, as it enhances value chain integration, allows for customization, and gives smaller businesses the chance to reach clients around the world (Liu & He, 2018). Business managers must therefore determine where, how, and how long e-commerce profitability can be sustained at the strategic and operational levels.…”

Section: Operational Readinessmentioning

confidence: 99%

Readiness of SMMEs for the adoption of the fourth industrial revolution in Mamelodi Township

Shibiti,

Masabo,

Ladzani

2023

IJRBS

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This study aimed to assess the readiness of small, medium, and micro enterprises (SMMEs) in Mamelodi township to adopt the Fourth Industrial Revolution (4IR). Within the South African environment, small, medium, and micro-enterprises (SMMEs) are frequently associated with a substantial rate of failure. Previous studies have investigated many factors that contribute to the low survival rate of small, medium, and micro enterprises (SMMEs). However, most of the studies focused on managerial issues, such as lack of experience, ineffective management methods, insufficient financial management, and obsolete marketing techniques. Most established companies have adopted various technologies associated with the Fourth Industrial Revolution (4IR) and are thriving as a result of the benefits associated with digitalization and automation. Therefore, it is crucial to evaluate the readiness of SMMEs in adopting the Fourth Industrial Revolution (4IR) and achieving similar benefits. Qualitative data was collected through interviews with owners and managers of small, medium, and micro enterprises (SMMEs) in Mamelodi township, Tshwane Municipality. The study found that SMMEs in Mamelodi are willing to adopt the Fourth Industrial Revolution (4IR), while encountering various difficulties. The results provide significant insights for owners and managers of Small, Medium, and Micro Enterprises (SMMEs) in townships about the implementation of the Fourth Industrial Revolution (4IR). Furthermore, government organizations tasked with supporting the creation and sustainability of small, medium, and micro enterprises (SMMEs) are aware of the scope of their operations, specifically in a township like Mamelodi. The study provided a vital contribution to the growing body of research on Small, Medium, and Micro Enterprises (SMMEs) in townships and their incorporation of the Fourth Industrial Revolution (4IR). The essay highlighted major barriers that hinder the adoption and use of existing technology, while also providing tangible evidence of the influence of contemporary technology on the development and success of small, medium, and micro enterprises (SMMEs).

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Section: Operational Readinessmentioning

confidence: 99%

Readiness of SMMEs for the adoption of the fourth industrial revolution in Mamelodi Township

Shibiti,

Masabo,

Ladzani

2023

IJRBS

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“…Therefore, game theory was used to solve this problem. Game theory has been studied and applied in many fields, such as power grid vulnerability analysis [21], power plant pricing [22], and profit distribution [23,24]. In the field of integrated energy systems, a cooperative game model is established to determine the optimal scheduling strategy of the integrated energy system, aiming at the daytime economic optimal scheduling problem of the system [25].…”

Section: Introductionmentioning

confidence: 99%

“…24-h variations of scheduling factors, power injection, and natural gas injection for three energy hubs in different seasons: (a) scheduling factor (spring and autumn, summer, winter); (b) power injection (spring and autumn, summer, winter); (c) natural gas injection (spring and autumn, summer, winter).…”

mentioning

confidence: 99%

An Optimal Scheduling Method for Multi-Energy Hub Systems Using Game Theory

et al. 2019

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The optimal scheduling of multi-energy hub systems plays an important role in the safety, stability, and economic operation of the system. However, due to the strong uncertainty of renewable energy access, serious coupling, and the interaction among energy hubs of multi-energy hub systems, it is difficult for the traditional optimal scheduling method to solve these problems. Therefore, game theory was used to solve the optimal scheduling problem of multi-energy hub systems. According to the internal connection mode and energy conversion relationship of energy hubs, along with the competitive and cooperative relationship between multi-energy hubs, the game theoretic optimal scheduling model of the multi-energy hub system was established. Then, two cases and 50 groups of wind speed series were used to test the robustness of the proposed method. Simulation results show that the total power injection is −16,805.8, 104.1847, and −865.561 and the natural gas injection is 46,046.81, 27,727.65, and 63,039.54 in spring/autumn, summer, and winter, respectively, which is consistent with the characteristics of the four seasons. Furthermore, the optimal scheduling method using game theory has a strong robustness in multi-energy hub systems.

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“…The development and application of wind resources have become the world's strategic choice to solve environmental pollution, address the energy crisis, and obtain clean and cost-effective electric energy [1][2][3][4][5]. Wind power is one of the most promising sustainable energy sources, and has been rapidly developing in recent years [6].…”

Section: Introductionmentioning

confidence: 99%

Overview of Wind Power Industry Value Chain Using Diamond Model: A Case Study from China

et al. 2018

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Sustainable energy development has gained worldwide attention, in part thanks to the wind power industry value chain that focuses on overall value creation and innovation, especially in China. This paper aims to construct a wind power industry value chain model and comprehensively analyze factors that have significant influences on it using a modified diamond model, which has remained nebulous. Focused on the value-adding effect of constructed value chains, we offer key ideas from different angles. A factor condition lays the foundation of the value chain, and shows that China is experiencing energy structure adjustment in which wind power will play a key role; its resource potential is huge, but with mismatched distribution. Demand conditions reveal an increasing demand for wind but serious wind rejection as well; this is where the value-adding probability exists. Related and support departments collaborate to determine the overall value creation process. Firm strategy, structure, and rivalry are terms that describe possible value-adding subjects considering the wind industry as a whole. Government and opportunity provide robust prices and non-price policies to support value integration, and Technology is an effective factor in cost reduction and value creation as a high value-adding sector. Furthermore, a comparison of wind power industry value chains in China and Japan is conducted. Our findings underscore that a gap exists between actual performance and the expected wind power industry value chain, and corresponding measurements to promote the performance are discussed, including encouraging diversified business models, enhancing R&D and independent innovation, professional cultivation, effectively reducing wind rejection rate, and the full range of government support.

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Profit Allocation of Hybrid Power System Planning in Energy Internet: A Cooperative Game Study

Cited by 9 publications

References 36 publications

Readiness of SMMEs for the adoption of the fourth industrial revolution in Mamelodi Township

Readiness of SMMEs for the adoption of the fourth industrial revolution in Mamelodi Township

An Optimal Scheduling Method for Multi-Energy Hub Systems Using Game Theory

Overview of Wind Power Industry Value Chain Using Diamond Model: A Case Study from China

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