Optimal transmission switching

Fisher, Emily; O’Neill, Richard P.; Ferris, Michael C.

doi:10.1109/pes.2009.5275905

Cited by 90 publications

(202 citation statements)

References 14 publications

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“…These linear equations can also be embedded into optimization frameworks for decision support in power systems [9], [1], [7], [2], [5], [8]. However, it is important to verify whether the assumptions of the linearized DC model holds for each application domain.…”

Section: Cold-start and Hot-start Modelsmentioning

confidence: 99%

“…Capacity constrained power flow applications, such as [1], [2], [5], [7], [8], [9], should ideally reason over apparent power to determine line loading. The linearized DC model ignores reactive power and approximates apparent power by active power.…”

Section: Approximating Apparent Powermentioning

confidence: 99%

“…Moreover, they can be naturally integrated in MIP models used for many important applications such as those described in [1], [2], [3], [4], [5], [6], [7], [8], [9]. Such an integration would produce significant gains in accuracy at minimal computation costs.…”

Section: B a Piecewise Linear Approximation Of Apparent Powermentioning

confidence: 99%

“…Some common application domains include LMP-base market calculations [1], optimal transmission switching [2], [3], distribution configuration [4], expansion planning [5], vulnerability analysis [6], [7] and power system restoration [8], [9] to name a few. In general, power system optimization gives rise to challenging nonlinear optimization problems.…”

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confidence: 99%

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Approximating line losses and apparent power in AC power flow linearizations

Coffrin

Hentenryck

Bent

2012

2012 IEEE Power and Energy Society General Meeting

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Abstract-The linearized DC model is widely used in optimization of power systems but few studies evaluate the accuracy and feasibility of its solutions. This paper studies the source of errors in the linearized DC model and proposes three new models to improve its accuracy. In particular, it proposes a cold-start model capturing line losses and hot-starts models for approximating apparent power and more accurate phase angles. All of the models are linear programs and can easily be used as a building block for more complex applications. Experimental results on well-known benchmarks show the significant benefits in accuracy of the new models and the high correlation of their solutions with AC solutions.Index Terms-power flow, dc power flow, power system analysis, line losses, apparent power.

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Section: Cold-start and Hot-start Modelsmentioning

confidence: 99%

Section: Approximating Apparent Powermentioning

confidence: 99%

Section: B a Piecewise Linear Approximation Of Apparent Powermentioning

confidence: 99%

mentioning

confidence: 99%

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Approximating line losses and apparent power in AC power flow linearizations

Coffrin

Hentenryck

Bent

2012

2012 IEEE Power and Energy Society General Meeting

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“…The control variables of such problems in addition to generator production rates may include the voltage angles of the buses (Conejo and Aguado, 1998), transformation ratios, states of flexible ac transmission systems (FACTS) (Hingorani, 1993;Hingorani, Gyugyi, and El-Hawary, 2000;Song and Johns, 1999) which affect the transmission performance of power lines, and switching variables which alter the topology of the transmission network (Fisher, O'Neill, and Ferris, 2008;Hedman, O'Neill, Fisher, and Oren, 2008;O'Neill, Hedman, Krall, Papavasiliou, and Oren, 2010). These optimal transmission switching models, which formulate the optimization as a mixed integer problem, usually assume n − 1 contingency reliability (Hedman, O'Neill, Fisher, and Oren, 2009) (in general, n is the number of system components), which means that the effects of single line and generator failures on the network are included in the analysis.…”

Section: Introductionmentioning

confidence: 99%

Lying generators: manipulability of centralized payoff mechanisms in electrical energy trade

Csercsik

2015

Cent Eur J Oper Res

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Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. Terms of use: Documents in

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Mobilizing grid flexibility through optimal transmission switching for power systems with large‐scale renewable integration

Numan

Feng

Abbas

et al. 2019

Int Trans Electr Energ Syst

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Summary In order to cope with the challenge of reducing CO2 emissions concerning climate change, many countries are increasing their renewable energy sources (RES) shares in their power system networks. However, the existing transmission network is not planned to accommodate such a large‐scale integration of RES. Therefore, the need for new transmission topologies to better utilize the existing transmission infrastructure is more demanding to be practically implemented. In this paper, optimal transmission switching (OTS) is incorporated in a generic two‐stage stochastic unit commitment (SUC) problem with high penetration of wind power generation. The problem is modeled as a mixed integer programming problem (MIP). To reduce the computational complexity for solving the MIP, a warm‐start strategy is proposed to assist CPLEX in finding the optimal solution in a reasonable amount of time. Numerical tests are conducted on the modified IEEE 6‐bus and 118‐bus systems to validate the effectiveness of the optimization problem incorporating OTS in SUC problem. Using the standard IEEE 118‐bus system, an extensive economic and computational analysis is performed to characterize OTS effect on total system operating cost, sensitivity to variation in load, and transmission line congestion. Test results validate that system operating cost can be reduced up to 8% as compared with generic SUC problem without transmission switching.

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Optimal transmission switching

Cited by 90 publications

References 14 publications

Approximating line losses and apparent power in AC power flow linearizations

Approximating line losses and apparent power in AC power flow linearizations

Lying generators: manipulability of centralized payoff mechanisms in electrical energy trade

Mobilizing grid flexibility through optimal transmission switching for power systems with large‐scale renewable integration

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