A Fast Scalable Quasi-Static Time Series Analysis Method for PV Impact Studies Using Linear Sensitivity Model

Qureshi, Muhammad Umer; Grijalva, Santiago; Reno, Matthew J.; Deboever, Jeremiah; Zhang, Xiaochen; Broderick, Robert Joseph

doi:10.1109/tste.2018.2833748

Cited by 37 publications

(10 citation statements)

References 26 publications

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“…The details of the tool together with its performance verification can be found in [31]. Synthetic load profiles using the annual total energy consumption data were generated for each commercial customer using the commercial load hourly average per unit values presented in previous literature [33]. For the remainder of the MV network modelled, where LV is not specifically modelled, bulk MV loads to represent the remaining 1,871 customers were created using synthetic load profiles based on the peak load and number of customers connected to each MV point.…”

Section: B Load Allocation and Determination Of Pv Ev And Hp Profilesmentioning

confidence: 99%

Synergies Between Low Carbon Technologies in a Large-Scale MV/LV Distribution System

et al. 2022

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Power distribution systems are experiencing large deployment of behind-the-meter distributed generation and storage along with electrified transport and heat, requiring fundamental changes in planning and operation. There are increasing efforts to directly model real large-scale networks and conduct detailed analysis beyond conventional practices. Utilizing optimization methods to leverage distributed generation to the benefit of the distribution system and all customers is the ideal. However, progress towards adoption of such controls by system operators are impeded by concerns over privacy, regulatory and market issues in many jurisdictions. While these issues are being addressed, there may be opportunity to exploit the synergistic effect of mixing low carbon technologies (LCT). This paper presents a large-scale medium voltage (MV)-low voltage (LV) integrated system model building, scenario determination and analysis approach for distribution systems. Data with different formats from several databases are used in model building. In collaboration with the national distribution system operator (DSO) in Ireland (ESB Networks), a pilot study is conducted for a rural system in the Southwest of Ireland, highlighting the challenges of directly modelling real distribution systems and investigating the potential synergies between multiple low carbon technologies.

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Section: B Load Allocation and Determination Of Pv Ev And Hp Profilesmentioning

confidence: 99%

Synergies Between Low Carbon Technologies in a Large-Scale MV/LV Distribution System

et al. 2022

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“…In this paper, load flow calculations in ( 1)-( 3) are solved using an external tool (OpenDSS). Since OpenDSS is used in various studies related to power flow analysis and HC assessment [20,[29][30][31], the reliability of the power flow calculation results can be guaranteed.…”

Section: B Problem Formulationmentioning

confidence: 99%

Probabilistic Assessment of PV Hosting Capacity Under Coordinated Voltage Regulation in Unbalanced Active Distribution Networks

et al. 2022

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The increasing penetration of photovoltaic (PV) generators has led to a shift of the operational policy of the distribution system operator (DSO) from passive to active intervention in distribution networks (DNs), where a centralized controller governs the operation of voltage regulation devices. However, the PV output uncertainty hinders the verification of the impact of PVs on DNs. Therefore, the hosting capacity (HC) analysis framework for PV penetration should reflect both the operational benefit of the DSO and the PV output uncertainty. Thus, in this study, a two-stage optimization-based framework is proposed to analyze the probabilistic HC of PV under active network management (ANM) of DNs. In the first stage, the optimal PV base capacity (PVBC) to maximize the sum of the HC of PVs is determined based on a heuristic optimization method; in the second stage, using the predefined load and PV output profile, the maximum available power generation curve for PVBC is calculated, and the maximum HC of PV is derived by the calibration of PVBC through a comparison with the actual PV generation profile curve. The proposed method considers the timeseries-based load flow results, reflecting the time-scheduling strategy by the DSO. Moreover, the uncertain characteristics of PV output are stochastically considered using a Monte Carlo simulation-based repetitive calculation approach. Case studies were implemented using the modified IEEE-123 test system, and the simulation results provided a quantitative comparison of the effect of the probabilistic HC improvement on the utilization of controllable resources and the centralized ANM by the DSO.

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“…Synthetic load profiles using the annual total energy consumption data were generated for each commercial customer using the commercial load hourly average per unit values presented in previous literature [30]. For the remainder of the MV network modelled, where LV is not specifically modelled, bulk MV loads to represent the remaining 1,871 customers were created using synthetic load profiles based on the peak load and number of customers connected to each MV point.…”

Section: B Load Allocation and Determination Of Pv Ev And Hp Profilesmentioning

confidence: 99%

The Benefits and Challenges of Large Scale MV/LV Distribution Network Modelling: A Case Study

Mehigan¹,

Zehir²,

Cuenca³

et al. 2022

Preprint

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<p>Power distribution networks are experiencing large deployment of behind-the-meter distributed generation and storage along with electrified transport and heat, requiring fundamental changes in planning and operation. Synthetic representative networks may not be sufficient to fully address the needs of researchers, operators and decision-makers. There are increasing efforts to directly model large-scale real networks and conduct detailed analysis beyond conventional practices. This paper presents a large-scale medium voltage (MV)-low voltage (LV) integrated network model building, scenario determination and analysis approach for distribution networks. Data with different formats from several databases were used in model building. The model is validated using benchmark scenarios based on historical network measurements from the field. In collaboration with the national distribution system operator in Ireland (ESB Networks), a pilot study was conducted for a rural network in the Southwest of Ireland, highlighting possible challenges and offering suitable solutions for country-scale implementation.<br></p><p></p><div><br></div><div><br></div>

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A Fast Scalable Quasi-Static Time Series Analysis Method for PV Impact Studies Using Linear Sensitivity Model

Cited by 37 publications

References 26 publications

Synergies Between Low Carbon Technologies in a Large-Scale MV/LV Distribution System

Synergies Between Low Carbon Technologies in a Large-Scale MV/LV Distribution System

Probabilistic Assessment of PV Hosting Capacity Under Coordinated Voltage Regulation in Unbalanced Active Distribution Networks

The Benefits and Challenges of Large Scale MV/LV Distribution Network Modelling: A Case Study

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