The Effect of Power Flow Entropy on Available Load Supply Capacity under Stochastic Scenarios with Different Control Coefficients of UPFC

Zhongxi Ou, Yuanyuan Lou, Junzhou Wang, Yixin Li, Kun Yang, Sui Peng () and Junjie Tang ()
Additional contact information
Zhongxi Ou: Zhuhai Power Supply Bureau, Guangdong Power Grid Corporation, CSG, Zhuhai 519000, China
Yuanyuan Lou: Guangdong Power Grid Corporation, CSG, Guangzhou 510080, China
Junzhou Wang: The State Key Laboratory of Power Transmission Equipment & System Security and New Technology, Chongqing University, Chongqing 400044, China
Yixin Li: Grid Planning and Research Center, Guangdong Power Grid Corporation, CSG, Guangzhou 510220, China
Kun Yang: Zhuhai Power Supply Bureau, Guangdong Power Grid Corporation, CSG, Zhuhai 519000, China
Sui Peng: Grid Planning and Research Center, Guangdong Power Grid Corporation, CSG, Guangzhou 510220, China
Junjie Tang: The State Key Laboratory of Power Transmission Equipment & System Security and New Technology, Chongqing University, Chongqing 400044, China

Sustainability, 2023, vol. 15, issue 8, 1-22

Abstract: With the sharp increase in fluctuant sources in power systems, the deterministic power flow (DPF) calculation has been unable to meet the demands of practical applications; thus, the probabilistic method becomes indispensable for the reliable and stable operation of power systems. This paper adopts the probabilistic power flow (PPF) method, which is a Monte Carlo simulation (MCS) based on the Latin hypercube sampling (LHS) method, to analyze the uncertainties of power systems. Specifically, the available load supply capability (ALSC) based on the branch loading rate is used to analyze the safety margin of the whole system, while the improved power flow entropy is introduced to quantify the equilibrium of power flow distribution. The repeated power flow (RPF) calculation is combined with the PPF method, and, hence, the probabilistic repeated power flow (PRPF) method is proposed to calculate the power flow entropy at the initial state and the probabilistic ALSC. To flexibly control the power flow, the unified power flow controller (UPFC) is added to the AC power system. The different control coefficients of UPFC are set to reveal the relationship between power flow entropy and available load supply capability under the stochastic scenarios. Finally, the modified IEEE14 test system is used to study the adjustment abilities of UPFC. With consideration of uncertainties in the test case, the positive effect of UPFC on the power flow entropy and the probabilistic ALSC under stochastic scenarios is deeply studied.

Keywords: probabilistic power flow; Latin hypercube sampling; available load supply capability; branch loading rate; power flow entropy; repeated power flow; unified power flow controller; control coefficient (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/2071-1050/15/8/6997/pdf (application/pdf)
https://www.mdpi.com/2071-1050/15/8/6997/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:15:y:2023:i:8:p:6997-:d:1129406

Access Statistics for this article

Sustainability is currently edited by Ms. Alexandra Wu

More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().