A chance-constrained optimization framework for transmission congestion management and frequency regulation in the presence of wind farms and energy storage systems

Ansaripour, Rahman; Barati, Hassan; Ghasemi, Ahmad

doi:10.1016/j.epsr.2022.108712

Cited by 15 publications

(4 citation statements)

References 35 publications

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“…In particular, for the expected cost minimization framework, it allows to achieve (expected) minimal cost while preserving the required level of service for given scenarios. One widespread approach in stochastic programming is chance-constrained optimization, where one searches for a decision that minimizes costs while satisfying a set of random constraints with a prescribed probability level [41,2]. Chance-constrained optimization models are intuitive and straightforward to explain.…”

Section: Optimal Power Flow (Opf) Under Uncertaintiesmentioning

confidence: 99%

“…The upper and low bounds on 𝛿 in (4a) are set to ± 𝜋 2 . For all (𝑖, 𝑗) ∈ , thermal constraints (4c) are reduced to |𝐼 𝑖,𝑗 | 2 ≤ (𝐼 max 𝑖,𝑗 ) 2 . In order to simplify computations of Oracle 1, we use a convexification of the feasible set  𝑠𝑏 in (4d), Figure 1.…”

Section: Parameters Of Doc Approachmentioning

confidence: 99%

“…To test the performance of the presented DoC approach for the chance-constrained problem (6), we set 11 values of safety parameters 1 − 𝛼 ranging from 0.75 to 1 with a step size of 0.025 (the case 𝛼 = 0 is tested as an extreme one, the algorithm is not designed for deterministic framework). We 2 The relation "𝑎 ≫ 𝑏" means that 𝑎 is much greater than 𝑏.…”

Section: Parameters Of Doc Approachmentioning

confidence: 99%

See 2 more Smart Citations

Difference-of-Convex approach to chance-constrained Optimal Power Flow modelling the DSO power modulation lever for distribution networks

Syrtseva,

de Oliveira,

Demassey

et al. 2023

Sustainable Energy, Grids and Networks

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Section: Optimal Power Flow (Opf) Under Uncertaintiesmentioning

confidence: 99%

Section: Parameters Of Doc Approachmentioning

confidence: 99%

Section: Parameters Of Doc Approachmentioning

confidence: 99%

See 1 more Smart Citation

Difference-of-Convex approach to chance-constrained Optimal Power Flow modelling the DSO power modulation lever for distribution networks

Syrtseva,

de Oliveira,

Demassey

et al. 2023

Sustainable Energy, Grids and Networks

View full text Add to dashboard Cite

“…As an effective analysis tool, the equivalent full cycle model (EFCM) can comprehensively consider various factors in the process of power grid operation, including load changes, fluctuations of new energy generation, constraints of transmission lines, etc. to accurately evaluate the performance of ESS in power grid FM [3]. The dynamic behavior and optimization approach of the ESS in the power grid FM may be thoroughly examined by the EFCM, offering theoretical support for real-world implementation [4].…”

Section: Introductionmentioning

confidence: 99%

Optimization of Frequency Modulation Energy Storage Configuration in Power Grid Based on Equivalent Full Cycle Model

Huang,

Zheng,

et al. 2024

Energies

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This paper aims to meet the challenges of large-scale access to renewable energy and increasingly complex power grid structure, and deeply discusses the application value of energy storage configuration optimization scheme in power grid frequency modulation. Based on the equivalent full cycle model and a large number of actual operation data, various energy storage technologies are technically analyzed, and the economic and environmental performance of different energy storage configuration schemes are comprehensively evaluated. On this basis, this paper puts forward a set of efficient and economical energy storage configuration optimization strategies to meet the demand of power grid frequency modulation and promote the wide application of energy storage technology. After an in-depth analysis, it is found that the optimized energy storage configuration scheme is excellent in technology, economy, and environmental protection. Specifically, in terms of technical performance, the optimization scheme has significantly improved key indicators such as energy storage efficiency, capacity and power, and response speed, which can better meet the requirements of power grid frequency modulation. Through the verification of actual operation data, it is found that the overall efficiency of the optimized energy storage configuration scheme is above 55%, which is helpful to the stability and efficiency of power grid frequency modulation. In terms of economic performance, although the initial investment cost of the optimization scheme may be high, it is found that it has good economy through the evaluation of long-term operation benefits. Considering that the energy storage system can reduce the operating cost of the power grid, improve the energy utilization rate, and achieve the optimization of cost-effectiveness in the long run, this scheme is economically feasible and attractive. In terms of environmental performance, the optimization scheme effectively reduces the negative impact on the environment by improving energy storage efficiency, reducing emissions, and optimizing resource utilization. This is not only conducive to the sustainable development of the power grid but also in line with the current global trend of promoting green and low-carbon transformation. To sum up, this paper not only provides an efficient and economical energy storage allocation optimization strategy for power grid frequency modulation but also provides a scientific basis for relevant decision-making departments. By promoting the practical application and development of energy storage technology, this paper is helpful to improve the frequency modulation ability of power grid, optimize energy structure, and reduce environmental pollution, and thus achieve the goal of sustainable energy development. The data results and in-depth analysis of this paper provide strong support for the practical application of energy storage configuration optimization scheme and also provide important reference for the further innovation and development of energy storage technology.

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A novel day-ahead and real-time model of transmission congestion management using uncertainties prioritizing

Dehnavi,

Akmal,

Moeini-Aghtaie

2024

Electr Eng

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A chance-constrained optimization framework for transmission congestion management and frequency regulation in the presence of wind farms and energy storage systems

Cited by 15 publications

References 35 publications

Difference-of-Convex approach to chance-constrained Optimal Power Flow modelling the DSO power modulation lever for distribution networks

Difference-of-Convex approach to chance-constrained Optimal Power Flow modelling the DSO power modulation lever for distribution networks

Optimization of Frequency Modulation Energy Storage Configuration in Power Grid Based on Equivalent Full Cycle Model

A novel day-ahead and real-time model of transmission congestion management using uncertainties prioritizing

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