Impact of distributed PV generation on grid operation

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Distributed photovoltaic (PV) generation is growing rapidly due to renewable-energy policies, business innovation, and new technology. The variability and volatility of solar generation causes challenges when operating the grid. Given the current physical infrastructure and operational policies this results in limits on distributed PV generation. What the limit is to the penetration of PV is studied by analyzing the behavior of distributed PV generation and a model of the load. We investigate how to represent the power output from distributed PV generation. We propose a reduced-form approach for constructing maximum PV power curves, which describe the maximum power from a group of PV systems at any time instance. Unlike a structural approach used typically by PV providers, the reduced-form approach requires no information about configuration or specification of each PV system in the group. We show how a grid operator can use maximum power curves in various applications such as finding a simple limit to PV installation, defining volatility distinctly from variability, and constructing a short-term PV power forecast system. A key requirement is a model of the load. Analogous to the maximum power curve, a load reference curve is proposed with a simple definition and shown to improve the performance of a short-term load forecast. Lastly, a simulation of the grid operation using our forecast systems and a typical set of existing infrastructures is performed to measure the risk of demand-supply imbalance. The maximum level of distributed PV installation given an acceptable level of risk is established. Options of adding additional ancillary services and implementing PV curtailment to increase the maximum level of distributed PV installation are also investigated.


Type of resource text
Form electronic; electronic resource; remote
Extent 1 online resource.
Publication date 2017
Issuance monographic
Language English


Associated with Ponsukcharoen, Umnouy
Associated with Stanford University, Institute for Computational and Mathematical Engineering.
Primary advisor Murray, Walter
Thesis advisor Murray, Walter
Thesis advisor Entriken, Robert
Thesis advisor Weyant, John P. (John Peter)
Advisor Entriken, Robert
Advisor Weyant, John P. (John Peter)


Genre Theses

Bibliographic information

Statement of responsibility Umnouy Ponsukcharoen.
Note Submitted to the Institute for Computational and Mathematical Engineering.
Thesis Thesis (Ph.D.)--Stanford University, 2017.
Location electronic resource

Access conditions

© 2017 by Umnouy Ponsukcharoen
This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).

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