Modeling the Integrated Natural Gas and Electricity Optimal Power Flow

Unsihuay, C.; Lima, J.W. Marangon; Souza, Antônio Carlos Zambroni de

doi:10.1109/pes.2007.386124

Cited by 157 publications

(83 citation statements)

References 7 publications

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“…The gas flow in a pipeline is determined by the gas pressure at the two ends, diameter of the pipeline and temperature. While the gas pressure is variable during operation, other factors are regarded as fixed and described by parameters [11]: …”

Section: ) Gas System Constraintsmentioning

confidence: 99%

“…Some coordinative dispatch and market clearing approaches have been proposed [10]- [15]. In [10]- [11], the authors assemble the gas network constraints into the optimal power flow (OPF) models, which results in complex nonlinear programming problems. The problems are solved using an evolutionary algorithm or the primal-dual interior-point method.…”

Section: Introduction Ccording To the Energy Information Administrmentioning

confidence: 99%

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Clearing and Pricing for Coordinated Gas and Electricity Day-Ahead Markets Considering Wind Power Uncertainty

Chen

Wang

Sun

2018

IEEE Trans. Power Syst.

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Abstract-Natural gas and electricity systems are becoming increasingly strongly coupled. Gas-fired units (GFUs) are replacing retired coal plants, and the power systems are more dependent on the flexibilities provided by GFUs. The GFUs' power generation capability relies on the availability of gas resources, which is jointly determined by the capacity of gas suppliers and pipeline networks. However, the gas and electricity markets are operated separately. Consequently, the GFUs are forced to "represent" the entire power system to bid on the gas market: they must make forecasts regarding future gas consumption and bear the risk of improper contracts or being unable to meet generation schedules due to occasional insufficient gas supply. When facing larger shares of renewable energies and more-frequent gas network congestions, the current market framework is particularly unreliable and inefficient, as well as economically unfriendly to the investors of the GFU assets. In this paper, we try to develop a framework that can combine the two markets. By properly pricing the scarce resources, e.g., gas transmission capacity, the joint market can help allocate the resources more efficiently while satisfying the demands. Moreover, a more forward-looking day-ahead market clearing framework is presented by considering the uncertainty brought by renewable energies. The formulation and algorithm of the proposed joint market model will be presented, as are some case studies.Index Terms-day-ahead market, gas and electricity coordination, wind power, unit commitment, stochastic programming. 1

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Section: ) Gas System Constraintsmentioning

confidence: 99%

Section: Introduction Ccording To the Energy Information Administrmentioning

confidence: 99%

Clearing and Pricing for Coordinated Gas and Electricity Day-Ahead Markets Considering Wind Power Uncertainty

Chen

Wang

Sun

2018

IEEE Trans. Power Syst.

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“…A basic model for integrating natural gas and electricity networks is presented in [3], which shows the fundamentals of natural gas network and describes the constraints for the energy transmission between electricity and gas systems. In [4], a steady state power flow model is presented for solving the combined optimization operating problem of different energy facilities based on the new concept of energy hubs.…”

Section: Introductionmentioning

confidence: 99%

Robust optimization for improving resilience of integrated energy systems with electricity and natural gas infrastructures

Hao

Wang

Jiang

2018

J. Mod. Power Syst. Clean Energy

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The integration of natural gas in electricity network requires a more reliable operating plan for increasing uncertainties in the whole system. In this paper, a threestage robust optimization model is proposed for resilient operation of energy system which integrates electricity and natural gas transmission networks with the objective of minimizing load curtailments caused by attacks. Nonconvex constrains are linearized in order to formulate the dual problem of optimal energy flow. Then, the proposed three-stage problem can be reformulated into a two-stage mixed integer linear program (MILP) and solved by Benders decomposition algorithm. Numerical studies on IEEE 30-bus power system with 7-node natural gas network and IEEE 118-bus power system with 14-node natural gas network validate the feasibility of the proposed model for improving resilience of integrated energy system. Energy storage facilities are also considered for the resiliency analysis.

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“…Other approaches include a hybrid approach with evolutionary strategy algorithm (e.g. Unsihuay et al, 2007), formulations of integrated markets using the network simplex method (e.g. Gil et al, 2003;Quelhas et al, 2006), including the dynamic aspects of natural gas velocity via quasi dynamic linear modeling (Damavandi et al, 2011), and deriving a single model representation (e.g An et al, 2003, applying primal-dual interior-point methods).…”

Section: Introductionmentioning

confidence: 99%

Investments in a Combined Energy Network Model: Substitution between Natural Gas and Electricity?

Weigt¹,

Abrell²

2016

The Energy Journal

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Natural gas plays an important role in the future development of electricity markets as it is the least emission intensive fossil generation option while additionally providing the needed flexibility in plant operation to deal with intermittent renewable generation. As both the electricity and the natural gas market rely on networks, congestion on one market may lead to changes on another. In addition, investments in one market have an impact in the other and may even become substitutes for one another. The objective of this paper is to develop a dynamic model representation of coupled natural gas and electricity network markets to test the potential interaction with respect to investments. The model is tested under simplified conditions as well as for a stylized European network setting. The results indicate that there is a potential for investment-substitution and significant market interactions that warrants the application of coupled models especially with regard to simulations of long term system developments.

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Modeling the Integrated Natural Gas and Electricity Optimal Power Flow

Cited by 157 publications

References 7 publications

Clearing and Pricing for Coordinated Gas and Electricity Day-Ahead Markets Considering Wind Power Uncertainty

Clearing and Pricing for Coordinated Gas and Electricity Day-Ahead Markets Considering Wind Power Uncertainty

Robust optimization for improving resilience of integrated energy systems with electricity and natural gas infrastructures

Investments in a Combined Energy Network Model: Substitution between Natural Gas and Electricity?

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