Topology control algorithms in power systems

This research focuses on improving the efficiency of power market operations by providing system operators additional tools for managing the costs of supplying and delivering electricity. A transmission topology control (TC) framework for production cost reduction based on a shift factor (SF) repre...

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Main Author: Goldis, Evgeniy
Language:en_US
Published: 2016
Subjects:
Online Access:https://hdl.handle.net/2144/16306
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spelling ndltd-bu.edu-oai-open.bu.edu-2144-163062019-01-08T15:38:07Z Topology control algorithms in power systems Goldis, Evgeniy Energy Economic dispatch Energy Power markets Renewable integration Topology control Transmission network This research focuses on improving the efficiency of power market operations by providing system operators additional tools for managing the costs of supplying and delivering electricity. A transmission topology control (TC) framework for production cost reduction based on a shift factor (SF) representation of branch and breaker flows is proposed. The framework models topology changes endogenously while maintaining linearity in the overall Mixed Integer Linear Programming (MILP) formulation. This work develops the DC lossless, and loss-adjusted TC formulations that can be used in a Day Ahead or intra-day market framework as well as an AC-based model that can be used in operational settings. Practical implementation choices for the Shift Factor formulation are discussed as well as the locational marginal prices (LMPs) under the TC MIP setting and their relation to LMPs without TC. Compared to the standard B-theta alternative used so far in TC research, the shift factor framework has significant computational complexity advantages, particularly when a tractably small switchable set is optimized under a representative set of contingency constraints. These claims are supported and elaborated by numerical results. 2016-05-17T19:15:26Z 2016-05-17T19:15:26Z 2015 2016-04-08T20:43:34Z Thesis/Dissertation https://hdl.handle.net/2144/16306 en_US Attribution-NonCommercial-ShareAlike 4.0 International http://creativecommons.org/licenses/by-nc-sa/4.0
collection NDLTD
language en_US
sources NDLTD
topic Energy
Economic dispatch
Energy
Power markets
Renewable integration
Topology control
Transmission network
spellingShingle Energy
Economic dispatch
Energy
Power markets
Renewable integration
Topology control
Transmission network
Goldis, Evgeniy
Topology control algorithms in power systems
description This research focuses on improving the efficiency of power market operations by providing system operators additional tools for managing the costs of supplying and delivering electricity. A transmission topology control (TC) framework for production cost reduction based on a shift factor (SF) representation of branch and breaker flows is proposed. The framework models topology changes endogenously while maintaining linearity in the overall Mixed Integer Linear Programming (MILP) formulation. This work develops the DC lossless, and loss-adjusted TC formulations that can be used in a Day Ahead or intra-day market framework as well as an AC-based model that can be used in operational settings. Practical implementation choices for the Shift Factor formulation are discussed as well as the locational marginal prices (LMPs) under the TC MIP setting and their relation to LMPs without TC. Compared to the standard B-theta alternative used so far in TC research, the shift factor framework has significant computational complexity advantages, particularly when a tractably small switchable set is optimized under a representative set of contingency constraints. These claims are supported and elaborated by numerical results.
author Goldis, Evgeniy
author_facet Goldis, Evgeniy
author_sort Goldis, Evgeniy
title Topology control algorithms in power systems
title_short Topology control algorithms in power systems
title_full Topology control algorithms in power systems
title_fullStr Topology control algorithms in power systems
title_full_unstemmed Topology control algorithms in power systems
title_sort topology control algorithms in power systems
publishDate 2016
url https://hdl.handle.net/2144/16306
work_keys_str_mv AT goldisevgeniy topologycontrolalgorithmsinpowersystems
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