Morphological Clustering Algorithm of Daily Output Curve of Wind Farm Based on Multi-scale and Entropy Weight Method

Zhu, Qinran; Bian, Xiaoyan; Lou, Peijie; Tang, Zhexuan

doi:10.1007/978-981-16-7156-2_38

Cited by 3 publications

(1 citation statement)

References 14 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For the diference matrix X k (k �1, 2, 3, 4), we set the number of quantile points to 3 [17] and the confdence probability values are 0.1, 0.5, and 0.9, respectively. Let the characteristic matrix extracted from the morphological characteristics of the curve be Y k , where the elements are as follows:…”

Section: Other Recommended Morphological Characteristicmentioning

confidence: 99%

A Bi-Level Optimization Model for Flexible Capacity Allocation with Coordinated Planning and Operation

Yin,

Bian,

Zhu

et al. 2023

International Transactions on Electrical Energy Systems

View full text Add to dashboard Cite

Traditional methods for flexible capacity allocation do not take into account the actual operation status of resources, and this can lead to redundancy of allocation results in a high renewable penetration power system. Using collaborative optimization during the flexibility resource planning stage can significantly improve the overall economics and flexibility. Therefore, a bilevel operation-planning joint optimization model for flexible capacity allocation is proposed in this paper. The aim is to optimize the annual total cost and flexibility of the system. The upper planning level introduces the economic costs, flexibility resource capacity, and flexibility index which are used as the evaluation index of system flexibility, while in the lower operation level, a morphological clustering algorithm based on the multiscale and entropy weight method is proposed for obtaining typical scenarios of flexibility demand. On this basis, the lower level simulates production to estimate daily operating costs. In addition, the model is solved iteratively using the nondominated sorting genetic algorithm-II (NSGA-II) and the linear programming method to obtain the Pareto solutions. Case studies are carried out based on a practical town area, and the results verify the validity and rationality of the proposed bilevel capacity allocation model.

show abstract

Section: Other Recommended Morphological Characteristicmentioning

confidence: 99%

A Bi-Level Optimization Model for Flexible Capacity Allocation with Coordinated Planning and Operation

Yin,

Bian,

Zhu

et al. 2023

International Transactions on Electrical Energy Systems

View full text Add to dashboard Cite

show abstract

A collaborative planning of PCCs siting and transmission network expansion for super large‐scale offshore wind clusters

Ling,

Bian,

Yang

et al. 2024

IET Generation Trans & Dist

View full text Add to dashboard Cite

The integration of super large‐scale offshore wind clusters into the onshore power grid brings challenges for the flexibility of the transmission network. Therefore, this paper proposes a two‐stage collaborative planning of points of common coupling siting and transmission network expansion for super large‐scale offshore wind clusters, based on a multi‐voltage‐level stratified integration mode which enables offshore wind power to transmit to larger regions for accommodation. At first, the transmission network flexibility indexes are established. Then, a two‐stage collaborative planning model for points of common couplings siting and transmission network expansion is proposed, which comprises a collaborative planning model and an optimal power flow operation model. The proposed model reduces wind curtailment and load shedding by optimizing the annual total cost and flexibility transmission capability of the network. Finally, the effectiveness of the proposed method is verified using a modified IEEE 30‐bus system and a 65‐bus system.

show abstract

Bidding Model for Shared Energy Storage Participation in Multi-Market Considering Multi-Timescale Demand

Wang,

Cheng,

Miao

et al. 2023

2023 IEEE 7th Conference on Energy Internet and Energy System Integration (EI2)

View full text Add to dashboard Cite

Morphological Clustering Algorithm of Daily Output Curve of Wind Farm Based on Multi-scale and Entropy Weight Method

Cited by 3 publications

References 14 publications

A Bi-Level Optimization Model for Flexible Capacity Allocation with Coordinated Planning and Operation

A Bi-Level Optimization Model for Flexible Capacity Allocation with Coordinated Planning and Operation

A collaborative planning of PCCs siting and transmission network expansion for super large‐scale offshore wind clusters

Bidding Model for Shared Energy Storage Participation in Multi-Market Considering Multi-Timescale Demand

Contact Info

Product

Resources

About