Electric power transmission network design for wind generation in the Western United States: Algorithms, methodology, and analysis

Toole, G. Loren; Fair, Matthew; Berscheid, Alan; Bent, Russell

doi:10.1109/tdc.2010.5484549

Cited by 13 publications

(14 citation statements)

References 24 publications

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“…However, recent studies by [3] that consider transmission planning for large-scale systems (the western United States), long planning horizons (30+ years), and large amounts of renewables (i.e., solar and wind, with limited control capabilities, thus, constraining operations) relax many of the assumptions prior approaches have relied upon and make the problem more difficult. Indeed, our preliminary work [11], [12] has shown that failing to take into account AC power flows can yield arbitrarily poor solutions. Even the seminal work of [13] indicated AC modeling on a small six-node benchmark was required as it contained a voltage violation.…”

Section: Introductionmentioning

confidence: 99%

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Transmission Network Expansion Planning With Complex Power Flow Models

Bent

Toole

Berscheid

2012

IEEE Trans. Power Syst.

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In recent years, the transmission network expansion planning (TNEP) problem has become increasingly complex. As this problem is a nonlinear and nonconvex optimization problem, researchers have traditionally focused on approximate models of power flows to solve the TNEP problem. Until recently, these approximations have produced results that are straightforward to adapt to the more complex problem. However, the power grid is evolving towards a state where the adaptations are no longer as easy (e.g., large amounts of limited control, renewable generation), necessitating new approaches. In this paper, we propose a discrepancy-bounded local search (DBLS) that encapsulates the complexity of power flow modeling in a black box that may be queried for information about the quality of a proposed expansion. This allows the development of an optimization algorithm that is decoupled from the details of the underlying power model. Case studies are presented to demonstrate cost differences in plans developed under different power flow models.

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Section: Introductionmentioning

confidence: 99%

“…We seek to address the question of how to incorporate nonlinear models of power flow into such planning scenarios. Considerable effort was required to adapt solutions derived from the transportation models used in these planning scenarios [11].…”

Section: Introductionmentioning

confidence: 99%

Transmission Network Expansion Planning With Complex Power Flow Models

Bent

Toole

Berscheid

2012

IEEE Trans. Power Syst.

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“…As the TNEP has the property that f (σ) is nonmonotonic, i.e. adding components can make η(σ) and ν(σ) rise or fall (sometimes referred to as Braess's paradox), the parameter α is used to limit the number of times in a row that f (σ) may worsen (lines [8][9][10]. A similar parameter is used in [9].…”

Section: Dbls Algorithmmentioning

confidence: 99%

“…1) The inability of expansion plans based on linearized DC models of power flows to guarantee an easy modification to account for nonlinear power flows under conditions imposed by uncontrollable generation [8]. 2) With a few exceptions (e.g., [9]), expansion algorithms are designed for specific models of power flow.…”

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confidence: 99%

“…They studied how to best integrate large amounts of wind power into power grids spread over large geographic areas using transportation models of power transmission. We seek to address the question of how to account for non linear models of power flow into such planning scenarios as considerable effort is required to adapt models derived from transportation models in this context [8].…”

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confidence: 99%

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Randomized discrepancy bounded local search for transmission expansion planning

Bent

Daniel

2011

2011 IEEE Power and Energy Society General Meeting

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Abstract-In recent years the transmission network expansion planning problem (TNEP) has become increasingly complex. As the TNEP is a non-linear and non-convex optimization problem, researchers have traditionally focused on approximate models of power flows to solve the TNEP. Existing approaches are often tightly coupled to the approximation choice. Until recently these approximations have produced results that are straight-forward to adapt to the more complex (real) problem. However, the power grid is evolving towards a state where the adaptations are no longer easy (e.g. large amounts of limited control, renewable generation) and necessitates new approaches. Recent work on deterministic Discrepancy Bounded Local Search (DBLS) has shown it to be quite effective in addressing this question. DBLS encapsulates the complexity of power flow modeling in a black box that may be queried for information about the quality of proposed expansions. In this paper, we propose a randomization strategy that builds on DBLS and dramatically increases the computational efficiency of the algorithm.

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Government regulation of renewable energy generation and transmission in China’s electricity market

Fang

Zhao

2018

Renewable and Sustainable Energy Reviews

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Electric power transmission network design for wind generation in the Western United States: Algorithms, methodology, and analysis

Cited by 13 publications

References 24 publications

Transmission Network Expansion Planning With Complex Power Flow Models

Transmission Network Expansion Planning With Complex Power Flow Models

Randomized discrepancy bounded local search for transmission expansion planning

Government regulation of renewable energy generation and transmission in China’s electricity market

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