Gas and Electric Grid Unit Commitment with Coordinated N-1 Generator Contingency Analysis

Jamei, Mahdi; Schweitzer, Eran; Scaglione, Anna; Hedman, Kory W.

doi:10.23919/pscc.2018.8442863

Cited by 8 publications

(5 citation statements)

References 11 publications

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“…A contingency is defined as a failure of an element, such as a generator in a power system [46]. In practice, the outage of generators leads to an increase in gas demand.…”

Section: Contingency Analysismentioning

confidence: 99%

Stochastic optimization model for coordinated operation of natural gas and electricity networks

Shabazbegian

Ameli

et al. 2020

Computers & Chemical Engineering

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“…A contingency is defined as a failure of an element, such as a generator in a power system [46]. In practice, the outage of generators leads to an increase in gas demand.…”

Section: Contingency Analysismentioning

confidence: 99%

Stochastic optimization model for coordinated operation of natural gas and electricity networks

Shabazbegian

Ameli

et al. 2020

Computers & Chemical Engineering

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“…3) Integrated Optimization of Electric and Natural Gas Networks: To ensure a power system dispatch that respects gas pipeline feasibility constraints, several studies have considered the inclusion of gas pipeline models in power grid design and operation analysis, forming methods for integrated optimization and operational planning [46]- [48]. Multiple subsequent studies on joint optimization have considered electric grid scheduling subject to security constraints that arise from the dependence on gas pipelines [41], [49]- [60], aiming for improved power grid resilience [61], [62], better robustness against N − 1 failures [63]- [65], or consideration of joint expansion planning [66]- [72]. These studies have indicated that there would be substantial economic and reliability advantages to improving coordination between the sectors [73]- [75].…”

Section: A Integrated Optimization and Coordination Of Electric And N...mentioning

confidence: 99%

“…Several studies have investigated how this uncertainty and variability impacts gas pipelines [12], [14], [91], [143]- [145]. In addition to the impact of renewable energy variability [79], [146], natural gas pipelines are also influenced by uncertainty in the consumption of traditional pipeline customers [147], failures of components such as compressors or pipelines [63]- [65], and uncertainty regarding available pipeline capacity [148].…”

Section: Uncertainty Management In Gas-electric Energy Systemsmentioning

confidence: 99%

An Uncertainty Management Framework for Integrated Gas-Electric Energy Systems

Roald¹,

Sundar²,

Zlotnik³

et al. 2020

Preprint

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In many parts of the world, electric power systems have seen a significant shift towards generation from renewable energy and natural gas. Because of their ability to flexibly adjust power generation in real time, gas-fired power plants are frequently seen as the perfect partner for variable renewable generation. However, this reliance on gas generation increases interdependence and propagates uncertainty between power grids and gas pipelines, and brings coordination and uncertainty management challenges. To address these issues, we propose an uncertainty management framework for uncertain, but bounded gas consumption by gas-fired power plants. The admissible ranges are computed based on a joint optimization problem for the combined gas and electricity networks, which involves chance-constrained scheduling for the electric grid and a novel robust optimization formulation for the natural gas network. This formulation ensures feasibility of the integrated system with a high probability, while providing a tractable numerical formulation. A key advance with respect to existing methods is that our method is based on a physically accurate, validated model for transient gas pipeline flows. Our case study benchmarks our proposed formulation against methods that ignore how reserve activation impacts the fuel use of gas power plants, and only consider predetermined gas consumption. The results demonstrate the importance of considering uncertainty to avoid operating constraint violations and curtailment of gas to the generators.

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“…These contingencies may occur in the power system, the natural gas system, or even both of them. Considering the spinning and non‐spinning reserves, and also the non‐linearity of the gas grid constraints, a unified formulation for Gas and Electric Grid Coordinated Unit Commitment (GECUC) is presented in Reference 14. This GECUC is further transformed as an MILP, and then N ‐1 generator contingency analysis is considered to find the corresponding dispatching results for the gas wells, storage, and generators when a generator is lost.…”

Section: Introductionmentioning

confidence: 99%

Total load energy supply capability and security level classification of integrated power and natural gas systems considering N ‐1 contingency of power system

Chen

Yin³

et al. 2021

Int Trans Electr Energ Syst

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Summary The coupling between the power system and natural gas system becomes more and more intensive, so it is necessary to study the security of integrated power and natural gas systems. This paper proposes the concept of total load energy supply capability (TLESC) for integrated power and natural gas systems. Then, a nonlinear optimization model is presented to calculate this TLESC. Normal operation of the power system and natural gas system, and the N‐1 contingency of the power system are considered. Piecewise linearization is used to linearize nonlinear models to obtain a uniquely effective solution. Then, the impact of contingencies on the TLESC is measured by the load change rate and the contingency load rate. A method for dividing the security level of the integrated power and natural gas systems is proposed. The N‐1 check is used to judge whether the integrated power and natural gas systems are secure to operate. If the N‐1 check is not satisfied, load loss rate, threshold crossing, hazard index, and so on are used to measure the insecure operation state; If the N‐1 check is satisfied, security margin index, power flow‐gas flow index, comprehensive margin index are used to measure the secure operation state of the system. An integrated 6‐bus power system and 7‐node natural gas system, an integrated 39‐bus power system and 20‐bus natural gas system and the modified IEEE 118‐bus power system and a 40‐node natural gas system are carried out to validate the effectiveness of the proposed model and security level classification method are verified by simulation examples.

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Gas and Electric Grid Unit Commitment with Coordinated N-1 Generator Contingency Analysis

Cited by 8 publications

References 11 publications

Stochastic optimization model for coordinated operation of natural gas and electricity networks

Stochastic optimization model for coordinated operation of natural gas and electricity networks

An Uncertainty Management Framework for Integrated Gas-Electric Energy Systems

Total load energy supply capability and security level classification of integrated power and natural gas systems considering N ‐1 contingency of power system

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