Models for Transmission Expansion Planning Based on Reconfigurable Capacitor Switching

Momoh, James A.; Mili, Lamine

doi:10.1002/9780470529164.ch9

Cited by 6 publications

(10 citation statements)

References 46 publications

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“…RCH is executed P times in the function OPTIMIZEPGRP (lines [4][5][6][7][8]. The RCH procedure is initialized with the best solution discovered and repeated until an improving solution is no longer found (line 9).…”

Section: Rch Algorithmmentioning

confidence: 99%

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Grid expansion planning for carbon emissions reduction

Bent

Toole

2012

2012 IEEE Power and Energy Society General Meeting

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Abstract-In recent years the grid expansion planning problem has become increasingly complex and challenging. The integration of renewable generation is a source of many of these challenges. These challenges often include a deficiency in transmission capacity in regions with high potential for renewable energy production. Historically, this lack of capacity has had adverse effects such as negative price market conditions or the curtailing of other green generation sources. This paper considers a combined generation and transmission expansion model to avoid the curtailment of existing green generation sources, in other words maximize the realized carbon reduction of adding renewable generation. Recent work on Randomized Constructive Heuristics (RCH) has shown this approach to be quite effective in addressing the Transmission Network Expansion Planning (TNEP) problem. In this paper, we propose a generalization of RCH to handle simultaneous carbon reduction and expansion cost objectives as well as multi-scenario planning.

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Section: Rch Algorithmmentioning

confidence: 99%

“…In other words, we seek to maximize the carbon impact of adding renewable generation capacity. This problem is variant of the well studied Transmission Network Expansion Planning (TNEP) [4], [5], [6], [7], Generation Expansion Planning (GEP) [8], [9], [10], [11], and Integrated Resource Planning (IRP) [12], [13], [14] problems.…”

Section: Introductionmentioning

confidence: 99%

Grid expansion planning for carbon emissions reduction

Bent

Toole

2012

2012 IEEE Power and Energy Society General Meeting

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“…An important aspect of this report is the question of how to best upgrade and expand the electric power transmission grid to incorporate sustainable, renewable energy sources that are located in transmission deficient areas. This optimization problem has been wellstudied as Transmission Network Expansion Planning (TNEP) [4], [5], [6], [7]; however, the requirements for the future grid raise a number of challenges, including:…”

mentioning

confidence: 99%

“…Literature Review The literature on TNEP is extensive and references [4], [5], [6], [7] provide excellent surveys of the field. In general, existing approaches have focused on modeling power flows with transportation models or the linearized DC model in order to reduce computational overhead.…”

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confidence: 99%

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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“…Planning [9,10]: Given a set of forecasted future load growths and corresponding operating scenarios, determine a network expansion plan that minimizes investment costs, energy production costs, and risk associated with potential failures in the network, subject to Kirchoff's laws together with constraints on branch flows, node voltages, and generator physical supply capabilities. This problem is often solved by minimizing investment and production costs while imposing constraints on risk.…”

Section: Fig 1 Prototype System Designmentioning

confidence: 99%

Integrated Decision Algorithms for Auto-steered Electric Transmission System Asset Management

McCalley

Honavar

Ryan

et al. 2007

Computational Science – ICCS 2007

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Abstract. Electric power transmission systems are comprised of a large number of physical assets, including transmission lines, power transformers, and circuit breakers, that are capital-intensive, highly distributed, and may fail. Managing these assets under resource constraints requires equipment health monitoring integrated with system level decision-making to optimize a number of various operational, maintenance, and investment-related objectives. Industry processes to these ends have evolved ad-hoc over the years, and no systematic structures exist to coordinate the various decision problems. In this paper, we describe our progress in building a prototype structure for this purpose together with a software-hardware environment to deploy and test it. We particularly focus on the decision algorithms and the Benders approach we have taken to solve them in an integrated fashion.

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Models for Transmission Expansion Planning Based on Reconfigurable Capacitor Switching

Cited by 6 publications

References 46 publications

Grid expansion planning for carbon emissions reduction

Grid expansion planning for carbon emissions reduction

Randomized discrepancy bounded local search for transmission expansion planning

Integrated Decision Algorithms for Auto-steered Electric Transmission System Asset Management

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