Converter-Driven Stability Analysis of Power Systems Integrated with Hybrid Renewable Energy Sources
Abstract
:1. Introduction
- Detailed dynamic models of FCWG and FCPV, including PMSG, PV generation unit, DC/DC converter and the associated control system, DC-link, grid side converter (GSC) and associated control systems, synchronous reference frame phase-locked loop (SRF-PLL), and the external AC power system are established. The linearized state-space models of each dynamic component, as well as the entire closed-loop system, are developed as the foundation of converter-driven stability analysis.
- Based on the above models, modal analysis is conducted with different wind power and PV solar energy penetration levels in the IEEE 16-machine 68-bus system. Peculiarly, open-loop FCWG oscillation mode (FOM) and FCPV oscillation mode (POM) are tuned to be close to critical EOM in terms of frequency, which is the necessary condition of open-loop modal resonance.
- Open-loop and closed-loop modal analysis is compared. Multi-modal interaction in the examined system with different renewable energy penetration levels is evaluated to analyze the essential resonance mechanism, which provides a theoretical indication to alleviate the negative effect caused by strong modal resonance.
- To circumvent the malignant modal resonance and to enhance the converter-driven stability, a modal interaction optimization strategy was implemented to prevent potential modal resonance through carefully retuning the controller parameters of the HRES system. The overall converter-driven stability and dynamic performance of the entire system were improved thereafter.
2. Hybrid Renewable Energy Source (HRES) System
2.1. Configuration of FCWG
2.2. Configuration of FCPV
3. Dynamic Models of FCWG and FCPV
3.1. State-Space Model of FCWG
- Modeling of PMSG
- 2.
- Modeling of MSC
- 3.
- Modeling of DC-link
- 4.
- Modeling of GSC
- 5.
- Modeling of PLL
3.2. State-Space Model of FCPV
- Modeling of PV generation unit
- 2.
- Modeling of DC/DC converter
- 3.
- Modeling of DC-link
- 4.
- Modeling of GSC
- 5.
- Modeling of SRF-PLL
3.3. Linearized Modeling of HRES System
3.4. Entire Interconnected Power System
4. Methodology of Optimization Strategy
5. Case Study
5.1. Introduction of Test Power System
5.2. Converter-Driven Stablity Analyses Considering Different Renewable Energy Penetration Levels
5.3. Modal Interaction Optimization to Enhance Converter-Driven Stability
6. Discussion
- (1)
- From the open-loop modal analysis of the external AC power system, with the increasing active power injection of RESs, the open-loop critical EOM was very slightly affected. Such minor variations are mainly due to the power flow impact since the modal interaction of the HRES system was excluded in the open-loop analysis.
- (2)
- For the closed-loop modal analysis, the overall impact of HRES integration was evaluated, considering both the power flow impact and modal interactions. Strong modal interaction occurred when the open-loop critical FOM and POM were close to the open-loop EOMs in terms of oscillation frequency. This is a necessary condition to induce strong modal interaction.
- (3)
- The multi-modal interaction involved oscillation modes of the multi-RESs in the HRES system and AC power system. The integration of the HRES system mainly affected two EOMs (i.e., one global critical EOM and one local EOM2). Strong modal interaction effects can be either positive or negative. For instance, in this study, the critical EOM deteriorated while the local EOM2 improved.
- (4)
- The HRES system could participate more actively in the critical EOMs even at a much lower active power output compared to SGs. The HRES dynamics could penetrate deeply into the local electromechanical dynamics regardless of their geographical/electrical distance.
- (5)
- The electromechanical dynamics of SGs might also participate in HRES oscillation modes (e.g., FOM and POM), which will lead to either positive or negative modal shifts in HRES oscillation modes. Their participation can also be quantified by ELCRs.
- (6)
- Apart from the interaction between SGs and HRES, FCWG and FCPV inside the HRES system can also interact with each other and participate in each other’s dynamics. Therefore, it is necessary to coordinate their interaction (e.g., parameter tuning) and avoid the interior modal resonance.
- (7)
- An interesting phenomenon appears when electromechanical dynamics become quite active in an HRES oscillation mode, and thus this mode turns into an EOM. In Case 4, the closed-loop POM had an ELCR larger than 1, and hence it can be recognized as an EOM. Such phenomena usually happen at high HRES penetration levels.
- (8)
- As a negative strong modal interaction, modal resonance might dramatically degrade system damping and thus should be circumvented. An effective countermeasure is to implement the modal interaction optimization strategy to properly modify the key parameters of HRES controllers. With the optimization strategy adopted, not only can the detrimental effect of modal resonance be alleviated, but also a positive modal interaction (i.e., modal counteraction) can be achieved.
7. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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Active Power from FCWG and FCPV (p.u.) | Frequency (Hz) | DR | ELCR | |
---|---|---|---|---|
Case 1 (0, 0) | −0.1064 ± 3.6391 i | 0.5792 | 2.92% | 36.80 |
Case 2 (0.5, 0.5) | −0.1067 ± 3.6694 i | 0.5840 | 2.91% | 36.88 |
Case 3 (1.0, 1.5) | −0.1068 ± 3.7158 i | 0.5914 | 2.87% | 37.08 |
Case 4 (2.0, 2.5) | −0.1060 ± 3.7790 i | 0.6014 | 2.80% | 37.50 |
Active power from FCWG and FCPV (p.u.) | Frequency (Hz) | DR | ELCR | |
---|---|---|---|---|
Case 1 (0, 0) | −0.1064 ± 3.6391 i | 0.5792 | 2.92% | 36.80 |
Case 2 (0.5, 0.5) | −0.0527 ± 3.6022 i | 0.5733 | 1.46% | 2.9990 |
Case 3 (1.0, 1.5) | −0.0105 ± 3.5506 i | 0.5651 | 0.30% | 1.8867 |
Case 4 (2.0, 2.5) | 0.0251 ± 3.4917 i | 0.5557 | −0.72% | 1.4929 |
Active Power from FCWG (p.u.). | Frequency (Hz) | DR | ELCR | |
---|---|---|---|---|
Case 1 (0) | −0.0702 ± 3.7456 i | 0.5961 | 1.87% | 0 |
Case 2 (0.5) | −0.0812 ± 3.8706 i | 0.6160 | 2.10% | 0.0482 |
Case 3 (1.0) | −0.0783 ± 3.9024 i | 0.6211 | 2.01% | 0.0187 |
Case 4 (2.0) | −0.0786 ± 3.9446 i | 0.6278 | 1.99% | 0.0122 |
Active Power from FCPV (p.u.) | Frequency (Hz) | DR | ELCR | |
---|---|---|---|---|
Case 1 (0) | −0.0748 ± 3.8683 i | 0.6157 | 1.93% | 0 |
Case 2 (0.5) | −0.1083 ± 3.9019 i | 0.6210 | 2.77% | 0.2868 |
Case 3 (1.5) | −0.1327 ± 3.9710 i | 0.6320 | 3.34% | 0.6820 |
Case 4 (2.5) | −0.1297 ± 4.0445 i | 0.6437 | 3.21% | 1.4651 |
Type | Original Control Parameters | Optimized Control Parameters |
---|---|---|
PLL control parameters of FCWG | , , | , |
PLL control parameters of FCPV | , | , |
Open-loop critical FOM (Freq., DR) | −0.0776 ± 3.9385 i (0.6268 Hz, 1.97%) | −0.2731 ± 3.3194 i (0.5283 Hz, 8.20%) |
Closed-loop critical FOM (Freq., DR) | −0.0786 ± 3.9446 i (0.6278 Hz, 1.99%) | −0.1388 ± 3.2740 i (0.5211 Hz, 4.23%) |
Open-loop critical POM (Freq., DR) | −0.0792 ± 3.9783 i (0.6332 Hz, 1.99%) | −0.1725 ± 4.0220 i (0.6401 Hz, 4.29%) |
Closed-loop critical POM (Freq., DR) | −0.1297 ± 4.0445 i (0.6437 Hz, 3.21%) | −0.1907 ± 4.1088 i (0.6539 Hz, 4.64%) |
Open-loop critical EOM (Freq., DR) | −0.1060 ± 3.7790 i (0.6024 Hz, 2.80%) | −0.1060 ± 3.7790 i (0.6024 Hz, 2.80%) |
Closed-loop critical EOM (Freq., DR) | 0.0251 ± 3.4917 i (0.5557 Hz, −0.72%) | −0.1647 ± 3.5897 i (0.5713 Hz, 4.58%) |
Open-loop EOM2 (Freq., DR) | −0.0934 ± 4.1669 i (0.6632 Hz, 2.24%) | −0.0934 ± 4.1669 i (0.6632 Hz, 2.24%) |
Closed-loop EOM2 (Freq., DR) | −0.1504 ± 4.1728 i (0.6641 Hz, 3.60%) | −0.1323 ± 4.1232 i (0.6562 Hz, 3.21%) |
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Luo, J.; Zou, Y.; Bu, S.; Karaagac, U. Converter-Driven Stability Analysis of Power Systems Integrated with Hybrid Renewable Energy Sources. Energies 2021, 14, 4290. https://doi.org/10.3390/en14144290
Luo J, Zou Y, Bu S, Karaagac U. Converter-Driven Stability Analysis of Power Systems Integrated with Hybrid Renewable Energy Sources. Energies. 2021; 14(14):4290. https://doi.org/10.3390/en14144290
Chicago/Turabian StyleLuo, Jianqiang, Yiqing Zou, Siqi Bu, and Ulas Karaagac. 2021. "Converter-Driven Stability Analysis of Power Systems Integrated with Hybrid Renewable Energy Sources" Energies 14, no. 14: 4290. https://doi.org/10.3390/en14144290