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Due to great challenges from aggressive environmental regulations, increased demand due to new technologies and the integration of renewable energy sources, the energy industry may radically change the way the power system is operated and designed. With the motivation of studying and planning the future power system under these new

Due to great challenges from aggressive environmental regulations, increased demand due to new technologies and the integration of renewable energy sources, the energy industry may radically change the way the power system is operated and designed. With the motivation of studying and planning the future power system under these new challenges, the development of the new tools is required. A network equivalent that can be used in such planning tools needs to be generated based on an accurate power flow model and an equivalencing procedure that preserves the key characteristics of the original system. Considering the pervasive use of the dc power flow models, their accuracy is of great concern. The industry seems to be sanguine about the performance of dc power flow models, but recent research has shown that the performance of different formulations is highly variable. In this thesis, several dc power-flow models are analyzed theoretically and evaluated numerically in IEEE 118-bus system and Eastern Interconnection 62,000-bus system. As shown in the numerical example, the alpha-matching dc power flow model performs best in matching the original ac power flow solution. Also, the possibility of applying these dc models in the various applications has been explored and demonstrated. Furthermore, a novel hot-start optimal dc power-flow model based on ac power transfer distribution factors (PTDFs) is proposed, implemented and tested. This optimal-reactance-only dc model not only matches the original ac PF solution well, but also preserves the congestion pattern obtain from the OPF results of the original ac model. Three improved strategies were proposed for applying the bus-aggregation technique to the large-scale systems, like EI and ERCOT, to improve the execution time, and memory requirements when building a reduced equivalent model. Speed improvements of up to a factor of 200 were observed.
ContributorsQi, Yingying (Author) / Tylavsky, Daniel J (Thesis advisor) / Hedman, Kory W (Committee member) / Sankar, Lalitha (Committee member) / Arizona State University (Publisher)
Created2013
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Description
Synthetic power system test cases offer a wealth of new data for research and development purposes, as well as an avenue through which new kinds of analyses and questions can be examined. This work provides both a methodology for creating and validating synthetic test cases, as well as a few

Synthetic power system test cases offer a wealth of new data for research and development purposes, as well as an avenue through which new kinds of analyses and questions can be examined. This work provides both a methodology for creating and validating synthetic test cases, as well as a few use-cases for how access to synthetic data enables otherwise impossible analysis.

First, the question of how synthetic cases may be generated in an automatic manner, and how synthetic samples should be validated to assess whether they are sufficiently ``real'' is considered. Transmission and distribution levels are treated separately, due to the different nature of the two systems. Distribution systems are constructed by sampling distributions observed in a dataset from the Netherlands. For transmission systems, only first-order statistics, such as generator limits or line ratings are sampled statistically. The task of constructing an optimal power flow case from the sample sets is left to an optimization problem built on top of the optimal power flow formulation.

Secondly, attention is turned to some examples where synthetic models are used to inform analysis and modeling tasks. Co-simulation of transmission and multiple distribution systems is considered, where distribution feeders are allowed to couple transmission substations. Next, a distribution power flow method is parametrized to better account for losses. Numerical values for the parametrization can be statistically supported thanks to the ability to generate thousands of feeders on command.
ContributorsSchweitzer, Eran (Author) / Scaglione, Anna (Thesis advisor) / Hedman, Kory W (Committee member) / Overbye, Thomas J (Committee member) / Monti, Antonello (Committee member) / Sankar, Lalitha (Committee member) / Arizona State University (Publisher)
Created2019
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Description
For a (N+1)-bus power system, possibly 2N solutions exists. One of these solutions

is known as the high-voltage (HV) solution or operable solution. The rest of the solutions

are the low-voltage (LV), or large-angle, solutions.

In this report, a recently developed non-iterative algorithm for solving the power-

flow (PF) problem using the holomorphic embedding

For a (N+1)-bus power system, possibly 2N solutions exists. One of these solutions

is known as the high-voltage (HV) solution or operable solution. The rest of the solutions

are the low-voltage (LV), or large-angle, solutions.

In this report, a recently developed non-iterative algorithm for solving the power-

flow (PF) problem using the holomorphic embedding (HE) method is shown as

being capable of finding the HV solution, while avoiding converging to LV solutions

nearby which is a drawback to all other iterative solutions. The HE method provides a

novel non-iterative procedure to solve the PF problems by eliminating the

non-convergence and initial-estimate dependency issues appeared in the traditional

iterative methods. The detailed implementation of the HE method is discussed in the

report.

While published work focuses mainly on finding the HV PF solution, modified

holomorphically embedded formulations are proposed in this report to find the

LV/large-angle solutions of the PF problem. It is theoretically proven that the proposed

method is guaranteed to find a total number of 2N solutions to the PF problem

and if no solution exists, the algorithm is guaranteed to indicate such by the oscillations

in the maximal analytic continuation of the coefficients of the voltage power series

obtained.

After presenting the derivation of the LV/large-angle formulations for both PQ

and PV buses, numerical tests on the five-, seven- and 14-bus systems are conducted

to find all the solutions of the system of nonlinear PF equations for those systems using

the proposed HE method.

After completing the derivation to find all the PF solutions using the HE method, it

is shown that the proposed HE method can be used to find only the of interest PF solutions

(i.e. type-1 PF solutions with one positive real-part eigenvalue in the Jacobian

matrix), with a proper algorithm developed. The closet unstable equilibrium point

(UEP), one of the type-1 UEP’s, can be obtained by the proposed HE method with

limited dynamic models included.

The numerical performance as well as the robustness of the proposed HE method is

investigated and presented by implementing the algorithm on the problematic cases and

large-scale power system.
ContributorsMine, Yō (Author) / Tylavsky, Daniel (Thesis advisor) / Armbruster, Dieter (Committee member) / Holbert, Keith E. (Committee member) / Sankar, Lalitha (Committee member) / Vittal, Vijay (Committee member) / Undrill, John (Committee member) / Arizona State University (Publisher)
Created2015