Meng Yang’s research while affiliated with State Grid Electric Power Research Institute and other places

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Publications (67)


Growth trends and future forecasts of various types of energy storage in the United States from 2021 to 2024 [49]
The number of new residential energy storage installations and installed capacity in Australia from 2016 to 2022
The revenue of energy storage in the Australian electricity market [56–58]
Energy storage cost channeling mechanism design framework
Changes in policies and electricity price mechanisms related to Chinese energy storage market

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Energy Storage Operation Modes in Typical Electricity Market and Their Implications for China
  • Article
  • Full-text available

August 2024

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38 Reads

Junhui Liu

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Yihan Zhang

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Zijian Meng

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[...]

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Zhaoyuan Wu

As the Chinese government proposes ambitious plans to promote low-carbon transition, energy storage will play a pivotal role in China’s future power system. However, due to the lack of a mature electricity market environment and corresponding mechanisms, current energy storage in China faces problems such as unclear operational models, insufficient cost recovery mechanisms, and a single investment entity, making it difficult to support the rapid development of the energy storage industry. In contrast, European and American countries have already embarked on certain practices in energy storage operation models. Through exploration of key issues such as investment entities, market participation forms, and cost recovery channels in both front and back markets, a wealth of mature experiences has been accumulated. Therefore, this paper first summarizes the existing practices of energy storage operation models in North America, Europe, and Australia’s electricity markets separately from front and back markets, finding that perfect market mechanisms and reasonable subsidy policies are among the main drivers for promoting the rapid development of energy storage markets. Subsequently, combined with the actual development of China’s electricity market, it explores three key issues affecting the construction of cost-sharing mechanisms for energy storage under market conditions: Market participation forms, investment and operation modes, and cost recovery mechanisms. Finally, in line with the development expectations of China’s future electricity market, suggestions are proposed from four aspects: Market environment construction, electricity price formation mechanism, cost sharing path, and policy subsidy mechanism, to promote the healthy and rapid development of China’s energy storage industry.

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Transformer-Based Multi-industry Electricity Demand Forecasting

March 2024

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30 Reads

Communications in Computer and Information Science

The accuracy of electricity demand forecasting is closely related to the correctness of decision-making in the power system, ensuring stable energy supply. Stable energy supply is a necessary guarantee for socioeconomic development and normal human life. Accurate electricity demand forecasting can provide reliable guidance for electricity production and supply dispatch, improve the power system's supply quality, and ultimately enhance the security and cost-effectiveness of power grid operation, which is crucial for boosting economic and social benefits. Currently, research on electricity demand forecasting mainly focuses on the single-factor relationship between power consumption and economic growth, industrial development, etc., while neglecting the study of multiple influencing factors and considering different time dependencies. To address this challenge, we propose a transformer-based forecasting model that utilizes transformer networks and fully connected neural networks (FC) for electricity demand forecasting in different industries within a city. The model employs the encoder part of the transformer to capture the dependencies between different influencing factors and uses FC to capture time dependencies. We evaluate our approach on electricity demand forecasting datasets from multiple cities and industries using various metrics. The experimental results demonstrate that our proposed method outperforms state-of-the-art methods in terms of accuracy and robustness. Overall, we provide a valuable framework in the field of electricity demand forecasting, which holds practical significance for stable power system operations.








Citations (20)


... Shao et al. built a distributed phase change material unit model and a photovoltaic energy storage system model and analyzed the actual capacity of the distributed energy system participating in scheduling [39]. Yang et al. proposed a double-layer optimization method for distributed shared energy storage with source network co-operation, achieving a 100% new energy consumption rate and reducing the peak-valley load difference by 61% [40]. Li et al. developed a distributed robust model for multi-microgrid systems, optimizing the energy storage capacity with electro-hydrogen hybrid energy storage. ...

Reference:

A Review of Distributed Energy Systems: Technologies, Classification, and Applications
Distributed Shared Energy Storage Double-Layer Optimal Configuration for Source-Grid Co-Optimization

... Moreover, managers' perceptions of environmental troubles as opportunities or threats can affect the choice of green innovation strategies (Sharma, 2000). Management with varying capabilities evaluates the costs and benefits of green innovation practices in different ways; they render heterogeneous judgments concerning environmental issues and execute diverse strategic targeting of enterprise green innovation (Mao et al., 2023;Yang et al., 2023). This unquestionably can affect the efficacy of enterprises' green production (Lara and Salas-Vallina, 2017). ...

Inclusivity between internet development and energy conservation in Henan, China

Energy Efficiency

... It can be used in electricity prediction research [6]. Yu et al. (2022) proposed a prediction model based on neural computing to solve the problem of decentralization of power supply system caused by the continuous integration of renewable energy in power network. The robustness of the model is tested by simulation experiments. ...

Research on New Energy Generation Market Transaction Based on Sales Risk Control Strategy
  • Citing Conference Paper
  • November 2022

... Several methods have been previously proposed in the literature to define a cluster boundary of sensitive coupled nodes (e.g. [42][43][44]). However, the key observation regarding these methods is their tendency to form static clusters as well as their oversight in considering the influence of the injected power from IBRs, despite the IBRs' power remains the principal factor in voltage regulation management. ...

Network partitioning and hierarchical voltage regulation for distribution networks using holomorphic embedding method‐based sensitivity

... The problem of deep-discharging energy storage equipment also needs to be taken into account. A deep discharge depth accelerates the life shortening of energy storage equipment and affects its performance [25,26]. The battery's depth of discharge is typically between 0.2 and 0.8 in real engineering. ...

Research on configuration optimization of distributed energy storage system based on multi-objective genetic algorithm

Journal of Physics Conference Series

... Literature [5] analyzes the three-phase path for the transition from medium-and long-term trading to spot trading in China, based on the development experience of foreign power markets and considering the characteristics of power generation and consumption in China.Literature [6] puts forward a new clearing mechanism for the deviation problems existing in medium and long-term power trading in the current spot environment and verifies the feasibility of the mechanism through examples. Literature [7] examines the linkage between medium and long-term trading and the spot market from the current situation of electricity market operation. Literature [8] proposes a mixed integer programming model based on portfolio theory to describe the trading strategies of large user electricity in the spot market and medium to long term market, and validates it through the Iberian electricity market case. ...

Research on self-balancing transaction scheduling strategy of new energy power in County considering section load rate

E3S Web of Conferences

... Extensive studies on the reliability evaluation of renewable-storage systems have been carried out concerning random faults of system elements, fluctuation of renewable output, and uncertainty of load demands. The power generation reliability is evaluated using indices like Loss of load probability (LOLP) and Expected energy not supplied (EENS) with Comte Carlo simulations performed based on historical data [4] [5] . Failure rate and available probability of components are considered. ...

Reliability evaluation of wind-storage power generation system considering fatigue failure of wind turbine gearbox
  • Citing Conference Paper
  • May 2022

... References [12][13][14] comprehensively considered the economy of investment and the reliability of system operation and constructed the evaluation index system of power grid investment value. References [15][16][17] introduced social indicators based on economic indicators and technical indicators, such as promoting employment and taxation, supporting economic development, etc., and more comprehensively evaluated the value of power grid investment. References [18][19][20] introduced environmental benefits, such as pollutant emissions, and renewable energy consumption, into the evaluation index system of power grid investment value, further highlighting the comprehensive value of power grid investment. ...

Evaluation method of power grid investment benefit based on matter-element extension model
  • Citing Conference Paper
  • May 2022

... The promotion of green consumption concepts is critical for advancing clean energy adoption. However, residents in Henan Province still have limited awareness of clean energy and energy-saving practices [8]. ...

On the Nonlinear Relationship Between Energy Consumption and Economic and Social Development: Evidence From Henan Province, China
  • Citing Article
  • January 2021

SSRN Electronic Journal