On the Way to Integrate Increasing Shares of Variable Renewables in China: Activating Nearby Accommodation Potential under New Provincial Renewable Portfolio Standard

Bu, Yinhe; Zhang, Xingping

doi:10.3390/pr9020361

Cited by 9 publications

(4 citation statements)

References 18 publications

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“…Building upon the foundation of day-ahead robust optimization dispatch, which has already ensured a certain degree of system security, a stochastic optimization method [24,25] is used during the intra-day dispatch phase to consider the uncertainties of WT, photovoltaic power, and load power to cope with the fluctuations of uncertain variables in the intraday stage.…”

Section: Intra-day Rolling Stochastic Optimal Dispatch Modelmentioning

confidence: 99%

Event-Driven Day-Ahead and Intra-Day Optimal Dispatch Strategy for Sustainable Operation of Power Systems Considering Major Weather Events

Liang,

Sun,

et al. 2024

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As the proportion of renewable energy installations in modern power systems increases, major weather events can easily trigger significant fluctuations in new energy generation and electricity load, presenting the system with the dual challenges of ensuring power supply and renewable energy consumption. Traditional dispatch models need more coordination and optimization of flexible resources under major weather events and risk management of system operations. This study focuses on provincial-level transmission systems, aiming to achieve the coordinated and optimized dispatch of flexible resources across multiple time scales in response to the complex and variable environments faced by the system. Firstly, by profoundly analyzing the response mechanisms of power systems during major weather events, this study innovatively proposes an event-driven day-ahead and intra-day optimal dispatch strategy for power systems. This strategy can sense and respond to major weather events in the day-ahead phase and adjust dispatch decisions in real time during the intra-day phase, thereby comprehensively enhancing the adaptability of power systems to sudden weather changes. Secondly, by considering the variability of renewable energy sources and electricity demand in the day-ahead and intra-day dispatch plans, the strategy ensures efficient and reliable power system operation under normal and major weather event scenarios. Finally, the method’s effectiveness is validated using actual data from a provincial-level power grid in China. The proposed dispatch strategy enhances the resilience and adaptability of power systems to major weather events, which are becoming increasingly frequent and severe due to climate change. The research demonstrates that an event-driven day-ahead and intra-day optimal dispatch strategy can enhance the economic efficiency and robustness of power system operations through the coordinated dispatch of flexible resources during major weather events, thereby supporting the transition toward sustainable energy systems that are resilient against the challenges of a changing climate.

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Section: Intra-day Rolling Stochastic Optimal Dispatch Modelmentioning

confidence: 99%

Event-Driven Day-Ahead and Intra-Day Optimal Dispatch Strategy for Sustainable Operation of Power Systems Considering Major Weather Events

Liang,

Sun,

et al. 2024

Processes

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“…The results showed that the CSO-ELM model has great forecasting accuracy. Bu and Zhang [7] propose a data-driven prospect analysis framework to evaluate the activated potential under two kinds of nearby accommodation approaches and to explore the completion prospect of this new obligated quota from provincial levels. They analyze two accommodation approach of the pathway for the former is to activate more provincial accommodation potential either via releasing system flexibility or by substituting generation right, and the pathway for the latter is to introduce trans-regional or trans-provincial accommodation and import more renewable energy power.…”

Section: New Energy Issuesmentioning

confidence: 99%

Special Issue on “Green Technologies for Production Processes”

et al. 2021

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“…Based on relevant testing, the cuckoo search optimization (CSO) algorithm, and the extreme learning machine (ELM) method, Wu Jing et al constructed a prediction model to predict and analyze the development potential of power substitution [17]. From the perspective of the power grid, Bu Yinhe proposed applying power transmission across regions to improve the accommodation capacity, focusing on increased exchange power for interprovincial tie lines and an increased interprovincial power transmission capacity [18]. Combining case studies, Nysander et al found that the most important measure to reduce wind abandonment was to increase the transmission capacity [19].…”

Section: Introductionmentioning

confidence: 99%

Research on Quantitative Evaluation Methods of New Energy Accommodation Factors under Synergistic Scenes

He,

Zhang,

Cui

et al. 2023

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In light of the recent announcement of the primary construction objectives of the modern energy system during the “14th Five-Year Plan”, the renewable energy industry has experienced rapid growth. The accurate assessment of the effects of renewable energy accommodation driven by various factors under the synergistic influence of “Source-Grid-Load-Storage” is vital for guiding the scientific planning and rational arrangement of the future energy system. For this purpose, this paper comprehensively considers boundary conditions such as power demand, load characteristics, cross-regional transmission characteristics, renewable energy resources and output characteristics, as well as energy storage characteristics. Based on the principle of simulation of time series production, this paper establishes a model for evaluating renewable energy accommodation and introduces a continuous optimization solution method. Taking the renewable energy accommodation of the power grid in a Chinese region as a case, this paper constructs 16 representative scenes that satisfy the development plans of various factors in the region. In conjunction with the simulation results of these 16 scenes, this paper uses the Shapley value method to determine the increased accommodation capacity of renewable energy promoted by multiple factors under the synergistic effect. The analysis results show that the Shapley value method examines the entire development process from the current situation to the synergistic scenes. By comprehensively weighing all development scenes regarding the increased accommodation capacity of various factors, this paper quantifies the effects of each factor under the synergistic scenes.

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On the Way to Integrate Increasing Shares of Variable Renewables in China: Activating Nearby Accommodation Potential under New Provincial Renewable Portfolio Standard

Cited by 9 publications

References 18 publications

Event-Driven Day-Ahead and Intra-Day Optimal Dispatch Strategy for Sustainable Operation of Power Systems Considering Major Weather Events

Event-Driven Day-Ahead and Intra-Day Optimal Dispatch Strategy for Sustainable Operation of Power Systems Considering Major Weather Events

Special Issue on “Green Technologies for Production Processes”

Research on Quantitative Evaluation Methods of New Energy Accommodation Factors under Synergistic Scenes

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