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Abstract
Volt-VAR optimization (VVO) has been investigated extensively in power systems. However, under the era of integrated energy systems (IES), the growing interdependencies between different energy systems complicate traditional VVO. This is further hardened by incurred gas quality problems due to the hydrogen injection in IES, produced by widely applied power-to-gas (P2G) facilitates that couple between power and gas systems. This paper develops a two-stage volt-VAR-pressure optimization (VVPO) model for PV-penetrated IES to manage the variation of system voltages while managing gas quality indices. In addition to the traditional voltage regulating devices, P2G facilities, which can mitigate fluctuating PV output via converting the surplus generation into hydrogen, are also used for voltage management. A two-stage distributionally robust optimization (DRO) based on moment information is utilized to model PV uncertainty. A semidefinite programming model is formulated and finally solved by the constraint generation algorithm. A 33-bus-20-node IES is used to verify the effectiveness of the proposed VVPO on voltage management, ensured gas quality with high economic efficiency. The proposed VVPO is applicable to injecting other green gases into gas systems while ensuring power quality and enable system operators to provide low-cost but high-quality multi-energy to customers.
| Original language | English |
|---|---|
| Article number | 9211762 |
| Pages (from-to) | 2403 - 2415 |
| Number of pages | 13 |
| Journal | IEEE Transactions on Power Systems |
| Volume | 36 |
| Issue number | 3 |
| Early online date | 2 Oct 2020 |
| DOIs | |
| Publication status | Published - 31 May 2021 |
Bibliographical note
Publisher Copyright:© 1969-2012 IEEE.
Funding
Manuscript received May 2, 2020; revised August 11, 2020 and September 14, 2020; accepted September 19, 2020. Date of publication October 2, 2020; date of current version April 19, 2021. This work was supported by the National Natural Science Foundation of China (72042018, 71621002). Paper no. TPWRS-00721-2020. (Corresponding author: Chenghong Gu.) Pengfei Zhao is with the Institute of Automation, Chinese Academy of Sciences, Beijing, China and School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing 100190, China, and also with the Department of Electronic & Electrical Engineering, University of Bath, Bath BA2 7AY, U.K. (e-mail: [email protected]).
| Funders | Funder number |
|---|---|
| National Natural Science Foundation of China | 72042018, TPWRS-00721-2020, 71621002 |
Keywords
- Integrated energy systems
- gas quality
- renewable uncertainty
- two-stage distributionally robust optimization
- volt-VAR optimization
ASJC Scopus subject areas
- Energy Engineering and Power Technology
- Electrical and Electronic Engineering
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- 4 Finished
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Peer-to-Peer Energy Trading and Sharing - 3M (Multi-times, Multi-scales, Multi-qualities)
Li, F. (PI), Jeon, J. (CoI) & Li, R. (CoI)
Engineering and Physical Sciences Research Council
1/09/16 → 29/02/20
Project: Research council
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Fellowship - Multi-Vector Energy Distribution System Modelling and Optimisation with Integrated Demand Side Response
Gu, C. (PI)
Engineering and Physical Sciences Research Council
1/09/14 → 31/08/17
Project: Research council
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High Energy and Power Density (HEAPD) Solutions to Large Energy Deficits
Li, F. (PI), Redfern, M. (CoI) & Walker, I. (CoI)
Engineering and Physical Sciences Research Council
30/06/14 → 29/12/17
Project: Research council