<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>The intermittent, random and uncontrollable characteristics of renewable energy generation bring many challenges to the actual operation of distribution grid (DG) energy storage. This paper firstly establishes a whole life cycle model applicable to the distribution grid energy storage system, which fully considers the various types of costs of VSC converter stations. Secondly, for comprehensive reactive power optimization, a sequential quadratic programming algorithm is used, and inequality constraints are added to the objective function in the form of penalty functions to optimize the state of on-load transformers and capacitors. Finally, the effectiveness of its distribution grid energy storage configuration optimization is verified by applying the distribution grid energy storage optimization based on the quadratic programming algorithm to electric vehicle charging piles. The results show that after two stages of optimization, the configuration capacity of distribution grid energy storage is increased by 53.14Kw/h compared with that before optimization, which is a substantial increase. The average annual cost of battery 0’ access decreases by 0.275, and battery 2’ access decreases by 0.581. This shows that the energy storage capacity optimization strategy based on the sequential quadratic programming algorithm proposed in this paper can improve the efficiency of energy storage utilization. It provides the basis for the user to select the energy storage capacity.</p>
</abstract>

The intermittent, random and uncontrollable characteristics of renewable energy generation bring many challenges to the actual operation of distribution grid (DG) energy storage. This paper firstly establishes a whole life cycle model applicable to the distribution grid energy storage system, which fully considers the various types of costs of VSC converter stations. Secondly, for comprehensive reactive power optimization, a sequential quadratic programming algorithm is used, and inequality constraints are added to the objective function in the form of penalty functions to optimize the state of on-load transformers and capacitors. Finally, the effectiveness of its distribution grid energy storage configuration optimization is verified by applying the distribution grid energy storage optimization based on the quadratic programming algorithm to electric vehicle charging piles. The results show that after two stages of optimization, the configuration capacity of distribution grid energy storage is increased by 53.14Kw/h compared with that before optimization, which is a substantial increase. The average annual cost of battery 0’ access decreases by 0.275, and battery 2’ access decreases by 0.581. This shows that the energy storage capacity optimization strategy based on the sequential quadratic programming algorithm proposed in this paper can improve the efficiency of energy storage utilization. It provides the basis for the user to select the energy storage capacity.

Analysis of energy storage capacity optimization of distribution network based on quadratic planning algorithm under large scale DG access

Shandong University of Science and Technology

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

The intermittent, random and uncontrollable characteristics of renewable energy generation bring many challenges to the actual operation of distribution grid...

Analysis of energy storage capacity optimization of distribution network based on quadratic planning algorithm under large scale DG access

Pubblicato online: 30 set 2023

Pagine: -

Ricevuto: 24 nov 2022

Accettato: 10 apr 2023

DOI: https://doi.org/10.2478/amns.2023.2.00416

Parole chiave
Distribution network energy storage system, VSC converter station, Integrated reactive power optimization, Quadratic planning algorithm, Penalty function, On-load regulator transformer

© 2023 Xinfu Song et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Analysis of energy storage capacity optimization of distribution network based on quadratic planning algorithm under large scale DG access

Pubblicato online: 30 set 2023

Pagine: -

Ricevuto: 24 nov 2022

Accettato: 10 apr 2023

DOI: https://doi.org/10.2478/amns.2023.2.00416

Parole chiaveDistribution network energy storage system, VSC converter station, Integrated reactive power optimization, Quadratic planning algorithm, Penalty function, On-load regulator transformer

© 2023 Xinfu Song et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Parole chiave
Distribution network energy storage system, VSC converter station, Integrated reactive power optimization, Quadratic planning algorithm, Penalty function, On-load regulator transformer