Modeling Interprovincial Cooperative Energy Saving in China: An Electricity Utilization Perspective

Zeng, LiYuan; Zhao, Laijun; Wang, Qin; Wang, Binghe; Ma, Yuan; Cui, Wei; Xie, Yujing

doi:10.3390/en11010241

Cited by 21 publications

(14 citation statements)

References 108 publications

(83 reference statements)

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“…To this context, cooperative game theory could be used to improve the traditional SPM, and the Shapley value is used to solve the improved spatial proportional allocation index. The expected incremental cost that pipeline produces when laid into utility tunnel is the basis for the Shapley value-based cost allocation method, ensuring that the allocation solution is fair and desirable [16]. Since the order that the pipelines laid into the utility tunnel affects the incremental cost produced, the Shapley value considers all orders equally and gives them equal weights.…”

Section: Improved Spatial Proportional Methods Based On Shapley Valuementioning

confidence: 99%

Cost Allocation Mechanism Design for Urban Utility Tunnel Construction Based on Cooperative Game and Resource Dependence Theory

et al. 2019

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The urban utility tunnel presents solutions for the sustainable development of urban underground space, and is an important carrier of power distribution network and integrated energy systems. Considering the high investment cost of utility tunnels and the limitations of traditional cost sharing methods (i.e., spatial proportional method, direct-laying cost method and benefit-based proportional method), it is of great significance to establish a fair and practical cost sharing mechanism. First, an improved Shapley value-based spatial proportional method is proposed. A comprehensive decision-making mechanism for utility tunnel construction cost allocation is established by using the improved spatial proportion, the life-cycle direct-laying cost proportion, and the benefit proportion of pipeline companies as the cost allocation indexes. The resource dependence theory is introduced to quantify the bargaining power of each pipeline company in the negotiation of the cost allocation. The weights of the cost allocation indexes in the comprehensive decision-making model are optimized with the objective of maximizing the overall satisfaction of the pipeline companies. Simulations based on the data of utility tunnel pilots in China illustrate that the proposed cost allocation mechanism has the highest overall satisfaction and is more acceptable and more feasible than the traditional cost allocation methods. For power companies, the cost of laying power cables can be significantly reduced by utility tunnels, and laying 10 kV power cables has been shown to have higher economic benefits.

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Section: Improved Spatial Proportional Methods Based On Shapley Valuementioning

confidence: 99%

Cost Allocation Mechanism Design for Urban Utility Tunnel Construction Based on Cooperative Game and Resource Dependence Theory

et al. 2019

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“…In game theory, Nash equilibrium is a fundamental concept and the most widely used technique for cooperative and non-cooperative game models to find the sizing and outcome of decision variables [35]. Shapley values is a technique mostly used for cooperative game models to fairly allocate the benefits among the independent power producers for the success of cooperation [24,36]. In this research, cooperative game models are designed using a technique of Nash equilibrium for optimum sizing of the capacities of generation resources and batteries.…”

Section: Game Theory Techniques and Algorithmmentioning

confidence: 99%

Comparative Study on Game-Theoretic Optimum Sizing and Economical Analysis of a Networked Microgrid

et al. 2019

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In this paper, two techniques of game theory are considered for sizing and comparative analysis of a grid-connected networked microgrid, based on a multi-objective imperialistic competition algorithm (ICA) for system optimization. The selected networked microgrid, which consists of two different grid-connected microgrids with common electrical load and main grid, might have different combinations of generation resources including wind turbine, photovoltaic panels, and batteries. The game theory technique of Nash equilibrium is developed to perform the effective sizing of the networked microgrid in which capacities of the generation resources and batteries are considered as players and annual profit as payoff. In order to meet the equilibrium point and the optimum sizes of generation resources, all possible coalitions between the players are considered; ICA, which is frequently used in optimization applications, is implemented using MATLAB software. Both techniques of game theory, Shapley values and Nash equilibrium, are used to find the annual profit of each microgrid, and results are compared based on optimum sizing, and maximum values of annual profit are identified. Finally, in order to validate the results of the networked microgrid, the sensitivity analysis is studied to examine the impact of electricity price and discount rates on maximum values of profit for both game theory techniques.

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“…Ang assessed 104 studies from 2001 to 2014 and found that availability, affordability, and energy efficiency were the key focus areas [36]. Since climate change issues and air pollution damage have become of greater concern, the environmental sustainability of energy systems has become a key objective for secure energy futures [37][38][39]. Energy supply security and energy sustainability are not in conflict.…”

Section: Definition Of Energy Supply Securitymentioning

confidence: 99%

A New Hybrid Method for China’s Energy Supply Security Forecasting Based on ARIMA and XGBoost

Пин

Zhang

2018

Energies

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Abstract:Energy supply security is a significant part of China's security, directly influencing national security and economic and social sustainability. To ensure both China's present and the future energy supply, it is essential to evaluate and forecast the energy supply level. However, forecasting the energy supply security level is difficult because energy supply security is dynamic, many factors affect it and there is a lack of accurate and comprehensive data. Therefore, based on previous studies and according to the characteristics of energy supply and the social development of China, first, the authors apply a comprehensive evaluation method to quantify the energy supply security. Second, based on the ARIMA-XGBoost hybrid model, the authors create two novel approaches for forecasting the energy supply security level of China. The authors find that: (1) energy supply security is dynamic, and green development has become the theme of China's energy development. The energy industry urgently needs to provide more high-quality ecological energy products to meet the people's desire for a beautiful ecological environment; (2) since the mean absolute percentage errors are below 4.5% when forecasting the energy supply security indicators, the ARIMA-XGBoost hybrid model is more accurate for forecasting China's energy supply security level and (3) the security level of China's energy supply has developed periodic features; the ESSI can improve by about 0.2 every five years, but, due to the low starting point and multiple types of constraints, it is difficult to reach the safety level in a short time.

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Modeling Interprovincial Cooperative Energy Saving in China: An Electricity Utilization Perspective

Cited by 21 publications

References 108 publications

Cost Allocation Mechanism Design for Urban Utility Tunnel Construction Based on Cooperative Game and Resource Dependence Theory

Cost Allocation Mechanism Design for Urban Utility Tunnel Construction Based on Cooperative Game and Resource Dependence Theory

Comparative Study on Game-Theoretic Optimum Sizing and Economical Analysis of a Networked Microgrid

A New Hybrid Method for China’s Energy Supply Security Forecasting Based on ARIMA and XGBoost

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