Tight convex relaxation for TEP problem: a multiparametric disaggregation approach

Goodarzi, Shahin; Gitizadeh, Mohsen; Abbasi, Ali Reza; Lehtonen, Matti

doi:10.1049/iet-gtd.2019.1270

Cited by 37 publications

(4 citation statements)

References 43 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Constraint (18) is the expansion power constraint of ESSs. Constraint (19) restricts the relationship between the expansion power and energy of ESSs.…”

Section: 12mentioning

confidence: 99%

“…References [16,17] obtain transmission congestion information by iteratively solving the economic dispatch model and using the locational marginal price information to analyze the benefits brought by the construction of transmission lines, thereby eliminating the candidate lines with low benefits. References [18,19] identify overloaded lines and generate the simplified candidate set by iteratively solving extra relaxation optimization problems. These methods can achieve good simplification results by combining simple optimization problems and are independent of the planning model-solving process, which can be applied simultaneously with other methods to improve models or algorithms.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A network search space reduction method for robust coordinated energy storage and transmission expansion planning

Yang,

Wang,

Zhang

et al. 2024

IET Generation Trans & Dist

View full text Add to dashboard Cite

The development of renewable energy will increase the demand for flexible resources in power systems due to the strong uncertainties. To allocate resources and cope with these uncertainties, it is beneficial to apply robust coordinated energy storage and transmission expansion planning (ES&TEP). The large candidate line set can significantly increase the computational complexity of robust optimization models. However, there is currently no suitable network search space reduction (NSSR) method to address this problem. This paper designs a NSSR method based on redundancy constraint identification that only requires information on component power ranges rather than fixed power curves, which can be well adapted to robust optimization. Additionally, this method requires only basic numerical calculations and ensures convergence within a finite number of iterations. The classical stochastic robust ES&TEP model and the column and constraint generation (C&CG) algorithm are used to validate the effectiveness of the NSSR method. In the case studies, the numerical results confirm the rationality and effectiveness of the approach proposed in this paper. By selecting appropriate parameters, the candidate line set can be reduced by over 70% and the computational efficiency can be improved by an order of magnitude.

show abstract

“…Constraint (18) is the expansion power constraint of ESSs. Constraint (19) restricts the relationship between the expansion power and energy of ESSs.…”

Section: 12mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A network search space reduction method for robust coordinated energy storage and transmission expansion planning

Yang,

Wang,

Zhang

et al. 2024

IET Generation Trans & Dist

View full text Add to dashboard Cite

show abstract

“…The study tackles transmission expansion planning using non-convex AC power flow equations, presenting a precise mixed-integer bilinear formulation with multiparametric disaggregation and piecewise McCormick relaxation. Demonstrating superiority over existing schemes in case studies, it offers a more accurate solution than DC or other linearization approaches (Goodarzi et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

Extended state observer-based primary load frequency controller for power systems with ultra-high wind-energy penetration

Ayyarao,

Nuvvula,

Kumar

et al. 2024

Wind Engineering

View full text Add to dashboard Cite

In this paper, a novel extended state observer-based (ESO) load frequency control is implemented. Specifically, the proposed control law focuses on the incorporation of wind energy injection as one of the disturbances, treating it as an additional state within the system. The proposed ESO is designed to estimate both the system states and the net disturbance, thereby enhancing its ability to regulate the overall load frequency performance. The proposed control strategy hinges on the judicious selection of control gains and disturbance gain. The estimated disturbance is then effectively compensated to regulate the load frequency. To evaluate the efficacy of the proposed controller, tests are conducted on both single and three area systems. The results demonstrate superior performance, even under conditions involving load and parameter variations.

show abstract

“…The fundamental problem of the circuit model is the difficulty in incorporating mechanical failures. To help explain the FRA curves, finite element analysis (FEA) commonly used to generate an analogous electric model of transformer winding 13 . The FRA curve beyond 1 MHz can be studied using Zhang's hybrid model and FEA 14 .…”

Section: Introductionmentioning

confidence: 99%

Transformer's frequency response analysis results interpretation using a novel cross entropy based methodology

Parkash

Abbasi

2023

Sci Rep

Self Cite

View full text Add to dashboard Cite

Transformer defects can be identified by the FRA (frequency response analysis) that is a promising diagnostic technique. Despite the standardization in FRA measuring technique, its results interpretation is yet a research area. Because different faults types can be identified in various frequency bounds of the FRA signatures, it is necessary to identify the possible relationships between specific failures and frequency ranges in this contribution. For this purpose, a real transformer is used to conduct the essential tests, which include both healthy and faulted circumstances (axial displacement (AD), radial deformation (RD), and short-circuits (SC)). To identify efficient characteristics from the produced frequency response traces and improve interpretation accuracy of such traces, a new hyperbolic fuzzy cross entropy (FCE) measure is demonstrated and then utilized for the aim of discrimination and classification of transformer winding defects in pre-defined frequency ranges. After normalizing FRA results of the transformer under healthy and various fault circumstances the lower bounds from such responses have been extracted and then utilized to construct the desired form of the fuzzy sets of healthy and faulted circumstances. Then, a new hyperbolic FCE measure-based discrimination and classification of winding faults methodology is offered on the basis of highest and lowest FCE measure values. The highest FCE measure value between the fuzzy sets of healthy and faulted circumstances such as AD, RD and SC is designated to confirm the occurrence of winding faults in a suitable frequency range. The suggested methodology ensures smart interpretation of FRA signature and accurate classification of winding faults as it can effectively discriminate both healthy and faulted circumstances in the desired frequency ranges. The proposed approaches' performance is tested and compared by applying the experimental data after feature extraction.

show abstract

Tight convex relaxation for TEP problem: a multiparametric disaggregation approach

Cited by 37 publications

References 43 publications

A network search space reduction method for robust coordinated energy storage and transmission expansion planning

A network search space reduction method for robust coordinated energy storage and transmission expansion planning

Extended state observer-based primary load frequency controller for power systems with ultra-high wind-energy penetration

Transformer's frequency response analysis results interpretation using a novel cross entropy based methodology

Contact Info

Product

Resources

About