Joint Oscillation Damping and Inertia Provision Service for Converter-Interfaced Generation

Fuente: arXiv
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Autores principales: Feng, Cheng, Huang, Linbin, He, Xiuqiang, Wang, Yi, Dörfler, Florian, Kang, Chongqing
Formato: Preprint
Publicado: 2023
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author Feng, Cheng
Huang, Linbin
He, Xiuqiang
Wang, Yi
Dörfler, Florian
Kang, Chongqing
author_facet Feng, Cheng
Huang, Linbin
He, Xiuqiang
Wang, Yi
Dörfler, Florian
Kang, Chongqing
contents Power systems dominated by converter-interfaced distributed energy resources (DERs) typically exhibit weaker damping capabilities and lower inertia, compromising system stability. Although individual DER controllers are evolving to provide superior oscillation damping capabilities and inertia supports, there is a lack of network-wide coordinated management measures for multiple DERs, potentially leading to unexpected instability and cost-effectiveness problems. To address this gap, this paper introduces a hybrid oscillation damping and inertia management strategy for multiple DERs, considering network coupling effects, and seeks to encourage DERs to provide enhanced damping and inertia with appropriate economic incentives. We first formulate an optimization problem to tune and allocate damping and inertia coefficients for DERs, minimizing associated power and energy costs while ensuring hard constraints for system frequency stability and small-signal stability. The problem is built upon a novel convex parametric formulation that integrates oscillation mode location and frequency trajectory requirements, equipped with a theoretical guarantee, and eliminating the need for iterative tuning and computation burdens. Furthermore, to increase the willingness of DERs to cooperate, we further design appropriate economic incentives to compensate for DERs' costs based on the proposed cost minimization problem, and assess its impact on system cost-efficiency. Numerical tests highlight the effectiveness of the proposed method in promoting system stability and offer insights into potential economic benefits.
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id arxiv_https___arxiv_org_abs_2309_01321
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Joint Oscillation Damping and Inertia Provision Service for Converter-Interfaced Generation
Feng, Cheng
Huang, Linbin
He, Xiuqiang
Wang, Yi
Dörfler, Florian
Kang, Chongqing
Systems and Control
Optimization and Control
Power systems dominated by converter-interfaced distributed energy resources (DERs) typically exhibit weaker damping capabilities and lower inertia, compromising system stability. Although individual DER controllers are evolving to provide superior oscillation damping capabilities and inertia supports, there is a lack of network-wide coordinated management measures for multiple DERs, potentially leading to unexpected instability and cost-effectiveness problems. To address this gap, this paper introduces a hybrid oscillation damping and inertia management strategy for multiple DERs, considering network coupling effects, and seeks to encourage DERs to provide enhanced damping and inertia with appropriate economic incentives. We first formulate an optimization problem to tune and allocate damping and inertia coefficients for DERs, minimizing associated power and energy costs while ensuring hard constraints for system frequency stability and small-signal stability. The problem is built upon a novel convex parametric formulation that integrates oscillation mode location and frequency trajectory requirements, equipped with a theoretical guarantee, and eliminating the need for iterative tuning and computation burdens. Furthermore, to increase the willingness of DERs to cooperate, we further design appropriate economic incentives to compensate for DERs' costs based on the proposed cost minimization problem, and assess its impact on system cost-efficiency. Numerical tests highlight the effectiveness of the proposed method in promoting system stability and offer insights into potential economic benefits.
title Joint Oscillation Damping and Inertia Provision Service for Converter-Interfaced Generation
topic Systems and Control
Optimization and Control
url https://arxiv.org/abs/2309.01321