مقاله انگلیسی چارچوب جدید برای تحلیل ظرفیت میزبانی با آنالیز حساسیت ولتاژ احتمالی فضایی-زمانی
Abstract
Keywords
Introduction
HC with simulation-based approach
ST-PVSA for random distribution of PVs
Validation of ST-PVSA
ST-PVSA for PV hosting capacity
Conclusion
Declaration of Competing Interest
Acknowledgement
Appendix A.
References
ABSTRACT
Smart grids are envisioned to accommodate high penetration of distributed photovoltaic (PV) generation, which may cause adverse grid impacts in terms of voltage violations. Therefore, PV Hosting capacity is being used as a planning tool to determine the maximum PV installation capacity that causes the first voltage violation and above which would require infrastructure upgrades. Traditional methods of Hosting capacity analysis are scenario based and computationally complex as they rely on iterative load flow algorithms that require investigating a large number of scenarios for accurate assessment of PV impacts. Therefore, this paper presents a computationally efficient analytical approach to compute the probability distribution of voltage change due to random behavior of randomly located multiple distributed PVs. The proposed approach is based on Spatio-temporal probabilistic voltage sensitivity analysis that exploits both spatial and temporal uncertainties associated with PV injections. Thereafter, the derived distribution is used to quantify voltage violations for various PV penetration levels and subsequently determine the hosting capacity of the system without the need to examine largenumber of scenarios. Results of the proposed framework are validated via conventional load flow based simulation approach on the IEEE 37 and IEEE 123 node test systems.
Introduction
Power grid is undergoing significant changes to meet modern- energy demand in a more efficient manner. Integration of renewable energy sources, especially rooftop Photovoltaics (PVs) offers various solutions, including (1) low carbon footprint; (2) reduced operational cost; (3) ancillary services in terms of peak load shaving and voltage restoration at critical loads during contingencies. Therefore, many countries are aiming to meet a major portion of energy demand through renewable energy sources. For example, by 2050, USA, China, EU and India are projected to have 63%, 67%, 70% and 73% of their total energy use met through renewables, respectively.