Affine Policies for Flexibility Provision by Natural Gas Networks to Power Systems

Ratha, Anubhav; Schwele, Anna; Kazempour, Jalal; Torbaghan, Shahab Shariat; Virag, Ana

doi:10.1016/j.epsr.2020.106565

Cited by 31 publications

(27 citation statements)

References 28 publications

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“…2b. Moreover, optimizing the base stochastic policy with the exact reformulation of the double-sided chance constraints in (7) demonstrates a less conservative solution than the Chebyshev approximation (as in [4] and [6]), which guarantees the same constraint satisfaction probability but at larger expected cost of $698,643, which is 2.5% more expensive than in Table I.…”

Section: B Resultsmentioning

confidence: 99%

“…The linepack models in [3] and [4], however, provide flexibility in the interest of stochastic day-ahead scheduling. As two-stage stochastic programs, they co-optimize nominal Vladimir Dvorkin and Dharik Mallapragada acknowledge funding from the MIT Energy Initiative Low-Carbon Energy Center on Electric Power Systems.…”

Section: Introductionmentioning

confidence: 99%

“…2) We provide a distributionally robust chance-constrained optimization problem and its second-order cone program (SOCP) reformulation to optimizes multi-stage control policies. We use the exact reformulation of double-sided distributionally robust constraints from [9] to reduce the conservatism of models in [4], [6]. 3) We provide several applications for the proposed multistage control policies in the sequential system coordination setting, where power system dispatch is followed by the gas network optimization problem.…”

Section: Introductionmentioning

confidence: 99%

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Multi-Stage Linear Decision Rules for Stochastic Control of Natural Gas Networks with Linepack

Dvorkin¹,

Mallapragada²,

Botterud³

et al. 2021

Preprint

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The disturbances from variable and uncertain renewable generation propagate from power systems to natural gas networks, causing gas network operators to adjust gas supply nominations to ensure operational security. To alleviate expensive supply adjustments, we develop control policies to leverage instead the flexibility of linepack -the gas stored in pipelines -to balance stochastic gas extractions. These policies are based on multi-stage linear decision rules optimized on a finite discrete horizon to guide controllable network components, such as compressors and valves, towards feasible operations. Our approach offers several control applications. First, it treats the linepack as a main source of flexibility to balance disturbances from power systems without substantial impacts on nominal gas supply. Second, these policies can be optimized to minimize the variability (due to intermittency of renewables) and variance (due to their uncertainty) of network state variables, such as pressures. Finally, it enables topology optimization to decouple network parts and prevent uncertainty propagation through the network. This is demonstrated using illustrative numerical experiments.

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Section: B Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Multi-Stage Linear Decision Rules for Stochastic Control of Natural Gas Networks with Linepack

Dvorkin¹,

Mallapragada²,

Botterud³

et al. 2021

Preprint

Self Cite

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“…Due to imperfect forecasts of the wind power output, deviation from the original forecast may occur in real-time. Taking into account the uncertainty from the forecast errors, we model the real-time response of controllable generation units via affine control policies [36]. The response of controllable generation units is expressed as follows…”

Section: Affine Policiesmentioning

confidence: 99%

“…In the IEHS systems, the approach was used in [34,35] to determine the optimal day-ahead unit commitment, and energy and reserve dispatch respectively. Refs [36,37] applied the approach in the integrated electricity and natural gas system for considering the uncertainty in the natural gas system network.…”

Section: Introductionmentioning

confidence: 99%

Uncertainty-fully-aware coordinated dispatch of integrated electricity and heat system

Skalyga

Zhang

2021

Energy

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Coordination of power and natural gas markets via financial instruments

2021

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Affine Policies for Flexibility Provision by Natural Gas Networks to Power Systems

Cited by 31 publications

References 28 publications

Multi-Stage Linear Decision Rules for Stochastic Control of Natural Gas Networks with Linepack

Multi-Stage Linear Decision Rules for Stochastic Control of Natural Gas Networks with Linepack

Uncertainty-fully-aware coordinated dispatch of integrated electricity and heat system

Coordination of power and natural gas markets via financial instruments

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