Quantitative Evaluation Methods of Cluster Wind Power Output Volatility and Source-Load Timing Matching in Regional Power Grid

Liu, Yongqian; Qiao, Yuanhua; Han, Soonhung; Xu, Yan; Geng, Tianxiang; Ma, Tao

doi:10.3390/en14165214

Cited by 7 publications

(3 citation statements)

References 18 publications

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“…As wind power, photovoltaic, and other new energy sources are greatly affected by the natural environment and have obvious randomness and volatility (Liu Y et al, 2021;Hao C A et al, 2021;Guo T et al, 2020), full consumption of wind power may cause a peak-tovalley difference, deep peak regulation, and sharp increase in peak regulation cost (Ming D A et al, 2021;Wei H et al, 2022;Wang J et al, 2021;Chen et al, 2021) and even cause a potential operation risk of the power grid (Zhou Y et al, 2021;Dall'Anese et al, 2018;Cheng et al, 2019;Deng et al, 2019;Luo et al, 2019). Therefore, when the wind power output is large and the load is low, selectively discarding part of the wind power output can not only reduce the operation risk of the power grid but also help to improve the flexibility of power grid dispatching and the overall economic benefits.…”

Section: Introductionmentioning

confidence: 99%

Curve and double-layer economic dispatching considering reasonable wind abandonment under different time granularities

Zhang

Yang²,

Xie³

et al. 2023

Front. Energy Res.

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In view of the large output of wind power during the load trough time, the peak regulation cost may increase sharply, and the traditional hourly dispatch may not be able to accurately track the load fluctuation due to the fluctuation of renewable energy. In this paper, based on different time granularities, an adaptive segmented double-layer economic scheduling model of the net load curve considering reasonable wind abandonment is constructed. The model can better cope with net load changes while reducing the load peak-to-valley difference. First, a reasonable wind abandonment model is established under different time granularities of 5 min, 15 min, 30 min, and 1 h; Then, based on the static thinking of the net load curve by time period, the load change in the hourly scale is fully considered without changing the total number of dispatching periods so that each dispatching period can adaptively select the duration according to the change of net load gradient, and a self-adaptive subsection model of the net load curve is established to minimize the total running cost. Finally, taking IEEE-30 nodes as the example system, the NSGA-II algorithm and CPLEX solver are used to solve the model. The results verify the economy and feasibility of the proposed model.

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Section: Introductionmentioning

confidence: 99%

Curve and double-layer economic dispatching considering reasonable wind abandonment under different time granularities

Zhang

Yang²,

Xie³

et al. 2023

Front. Energy Res.

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“…Dynamic time warping distance (DTW) is suitable for measuring the similarity of source charge time series in both numerical and morphological aspects [16,17]. In [18,19], a quantitative evaluation method for source load timing matching that considers the output fluctuation of renewable energy was proposed. However, currently, for renewable energy combined with energy storage power generation systems, the analysis focuses on the correlation characteristics of renewable energy output and load, whereas the temporal correlation of SGLS requires further study.…”

Section: Introductionmentioning

confidence: 99%

Collaborative optimization strategy of source‐grid‐load‐storage considering dynamic time series complementarity of multiple storages

Huang

Liu³

2023

IET Generation Trans & Dist

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The multi‐scale flexibility coordination of multiple storages is a key technology to enhance the diversified regulation ability of the power system. This paper first considers the interaction mechanism of multi‐type storage peak regulation time sequences based on the Euclidian distance, dynamic time warping distance, and storage correlation distance. A matching index was proposed to consider the temporal correlation, overall distribution characteristics, and dynamic characteristics of the net load and energy storage. The multitype storage coordination mode, including battery storage, pumped storage, and electric vehicles, was formulated, and a collaborative optimal scheduling system architecture of source‐grid‐load‐storage (SGLS) was constructed. To attain a low‐carbon economy, a collaborative optimal scheduling model of SGLS considering the dynamic time‐series complementarity of multiple energy storage systems was constructed. The Nash equilibrium theory was used to achieve friendly interaction among the source, grid, load, and storage. Then, an improved transfer reinforcement learning algorithm for SGLS was proposed, which used reinforcement learning and transfer learning algorithms combined with K‐means clustering and dual‐structure experience pool technology. The test results of actual regional power grid data indicated that the proposed strategy can effectively reduce the economic and carbon treatment costs of the system and improve the absorption capacity of renewable energy.

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“…Under the strategic goal of building a new power system with new energy as the main body, China's wind power industry will enter a new era of rapid development [1]. The simultaneous development of incremental and stock wind power installation will be an important development feature in the future.…”

Section: Introductionmentioning

confidence: 99%

Power Generation Performance Indicators of Wind Farms Including the Influence of Wind Energy Resource Differences

et al. 2022

Self Cite

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The accurate evaluation and fair comparison of wind farms power generation performance is of great significance to the technical transformation and operation and maintenance management of wind farms. However, problems exist in the evaluation indicator systems such as confusion, coupling and broadness, and the influence of wind energy resource differences not being able to be effectively eliminated, which makes it difficult to achieve the fair comparison of power generation performance among different wind farms. Thus, the evaluation indicator system and comprehensive evaluation method of wind farm power generation performance, including the influence of wind energy resource differences, are proposed in this paper to address the problems above, to which some new concepts such as resource conditions, ideal performance, reachable performance, actual performance, and performance loss are introduced in the proposed indicator system; the combination of statistical and comparative indicators are adopted to realize the quantitative evaluation, indicator decoupling, fair comparison, and loss attribution of wind farm power generation performance. The proposed comprehensive evaluation method is based on improved CRITIC (Criteria Importance though Intercrieria Correlation) weighting method, in which the uneven situation of different evaluation indicators and the comprehensive comparison of power generation performance among different wind farms shall be overcome and realized. Several sets of data from Chinese wind farms in service are used to validate the effectiveness and applicability of the proposed method by taking the comprehensive evaluation models based on CRITIC weighting method and entropy weighting method as the benchmarks. The results demonstrated that the proposed evaluation indicator system works in the quantitative evaluation and fair comparison of wind farm design, operation, and maintenance and traces the source of power generation performance loss. In addition, the results of the proposed comprehensive evaluation model are more in line with the actual power generation performance of wind farms and can be applied to the comprehensive evaluation and comparison of power generation performance of different wind farms.

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Quantitative Evaluation Methods of Cluster Wind Power Output Volatility and Source-Load Timing Matching in Regional Power Grid

Cited by 7 publications

References 18 publications

Curve and double-layer economic dispatching considering reasonable wind abandonment under different time granularities

Curve and double-layer economic dispatching considering reasonable wind abandonment under different time granularities

Collaborative optimization strategy of source‐grid‐load‐storage considering dynamic time series complementarity of multiple storages

Power Generation Performance Indicators of Wind Farms Including the Influence of Wind Energy Resource Differences

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