Stochastic planning of integrated power and natural gas networks with simplified system frequency constraints

Safari, Amin; Farrokhifar, Meisam; Shahsavari, Hossein; Hosseinnezhad, Vahid

doi:10.1016/j.ijepes.2021.107144

Cited by 16 publications

(11 citation statements)

References 34 publications

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“…The challenge of leveraging optimal system operation and security in APSs was also addressed recently, being alternatives presented to the deterministic evaluation of the worstcase APD or the N-1 criterion. References [13], [21]- [24], for instance, considered the effect of anticipated net load variations and applied dynamic constraints for sizing frequency containment reserves and required inertia. These works did not evaluate however the impact that re-adjusting the droop of online units, instead of switching on and off units with fixed droops, would have on frequency stability and OPEX.…”

Section: A Literature Reviewmentioning

confidence: 99%

Optimal Energy Management in Autonomous Power Systems with Probabilistic Security Constraints and Adaptive Frequency Control

Chapaloglou¹,

Alves²,

Trovato³

et al. 2022

Preprint

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The decarbonization of many heavy powerconsuming industries is dependent on the integration of renewable energy sources and energy storage systems in isolated autonomous power systems. The optimal energy management in such schemes becomes harder due to the increased complexity and stability requirements, the rapidly varying operating conditions and uncertainty of renewable sources, the conflicting objectives across different timescales, the limited amount of reliable power sources and energy storage. The state of charge management when energy storage is used for multiple services, such as optimal scheduling and frequency support, is one of the most notorious problems in this context. To address this issue, an optimal energy management system is proposed in this paper. It co-optimizes the primary frequency control layer and the dispatch schedule of conventional generators and energy storage by taking advantage of an algorithm that provides adaptive active power demand uncertainty quantification, theoretical guarantees for frequency stability, and bounds for the reserves for frequency support assigned to the energy storage system. A convex reformulation is derived enabling the efficient solution of the involved optimization problem, being a test case of an isolated offshore oil and gas platform presented for validation.

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Section: A Literature Reviewmentioning

confidence: 99%

Optimal Energy Management in Autonomous Power Systems with Probabilistic Security Constraints and Adaptive Frequency Control

Chapaloglou¹,

Alves²,

Trovato³

et al. 2022

Preprint

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“…Such evaluation is necessary to determine the dispatch of each of the generation resources embedded in the distribution network (including substations) due to the topological changes that occur in the network after the contingency occurs. In ( 2) -( 10), the dispatch of all electricity sources (substations and DG-NG) is determined in such a way that the non-supplied energy in each node is minimized (𝑆 𝑖 𝑅 ), guaranteeing compliance with the Kirchhoff laws in (3), ( 4) and the capabilities of all network elements using ( 5) - (10). The mathematical model is as follows: To determine the value of the non-supplied power given the contingency of the feeder L, the model represented by ( 2) -(10) is executed, eliminating the network element under contingency, that is, making 𝑎 𝑙=𝐿,𝑖 𝐸 = 0.…”

Section: Contingencies Criterion (N-1)mentioning

confidence: 99%

“…Given that an electrical network with a high percentage of penetration of DG-NG can present a strong interdependence with the NG network that supplies these generators, it is necessary to quantify the impact of the contingencies of the NG network on the energy that is supplied in the electrical network. To quantify the effect of the reliability of the NG network, an adaptation of the NSEL electrical index is proposed, which is presented in (11): To evaluate the reliability index of the electrical network using the reliability of the elements of the NG network, an optimal power flow is used to evaluate the operating conditions of the network, as illustrated in ( 2) - (10). To determine the value of the power not supplied due to the contingency of the pipeline, the model represented by ( 2) -( 10) is executed, eliminating all the DG-NG that were disconnected by the contingency in said gas pipeline; that is, by making 𝑆 𝑖 𝐺𝐷_𝑀𝐴𝑋 = 0 for the disconnected generators.…”

Section: Evaluation Of the Reliability Levelmentioning

confidence: 99%

“…Due the penetration of DG-NG is expected to be going up in next years, the interdependence will increase between both systems which has generated a special interest within the electricity sector in related studies to this topic. In [8]- [10], an integrated planning between both networks is carried out, considering technical, economic and reliability criteria. However, the proposed methodologies focus on transmission systems.…”

Section: Introductionmentioning

confidence: 99%

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Integrated Operation of Electricity and Natural Gas Distribution Networks: A Reliability Analysis

Cortés

Isaza

Salazar

2022

TecnoL.

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Currently the world faces a great challenge, to achieve a sustainable production of energy, which allows the adequate development of humanity but at the same time does not irreversibly affect the environment. For this, it is absolutely necessary to make optimal and effective use of the available energy resources, in order to aim for energy transition objectives that result in the rational and efficient use of energy, the penetration of renewable resources, and social development. This requires that at a technical level, methodologies be proposed that allow for a holistic analysis of the different interactions and synergies present in the energy system. Therefore, it is essential to delve into the knowledge associated with the interaction between the electricity and natural gas networks, since natural gas is expected to be the energy source that supports the increase in generation from intermittent renewable energy sources. It is for the above that this research work analyzes the reliability of the electric power distribution network based on the impact associated with a contingency in the natural gas distribution network, when both networks are coupled through natural gas-based distributed power generators. A novel non-supplied energy index and a single contingency criterion are used for estimation purposes, considering failure rates and repair times of the natural gas network to obtain a more accurate in the estimation. Numerical results show that significant penetration of natural gas-based distributed generation can compromise the reliability of the power distribution network if the natural gas network is of low reliability.

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“…Authors in reference [19] presented an analytical framework for frequency constraint formulation in an economic dispatch problem. More so, the authors in [20] developed a mixed integer linear programming (MILP) model using simplified system frequency constraints to plan for expansion in the power system. Their results show the importance of enhancing system inertia in order to combat frequency instability in the expanding grid.…”

Section: Introductionmentioning

confidence: 99%

Optimal planning of Renewable energy generators in modern power grid for enhanced system inertia

Ayamolowo

Manditereza²,

Kusakana³

2022

Technol Econ Smart Grids Sustain Energy

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In recent times renewable energy sources have become an integral part of the modern power grid. As a result, the overall system inertia of the grid has been reduced, thus leading to frequency instability issues such as fast rate of change of frequency. Thus, to compensate for the declining inertia, it is important to carefully select renewable energy generators (REGs) and energy storage systems (ESS) in order to ensure the stability of the power grid, while also controlling greenhouse gases emissions in line with environmental standards. Therefore, this paper proposes an optimal planning model of REGs and ESS, considering the inertia requirement of the grid. The objective function is formulated to minimize the cost of operation, emissions, and investment in new REGs and energy storage units while maximizing the system inertia. The model was developed as a mixed integer linear programming problem and solved using CPLEX solver in GAMS. Finally, the model was validated using a modified IEEE 9-bus system and compared under three scenarios. The results show that in scenario 3 where system inertia is considered in the presence of REGs and ESS, higher system inertia of 8.776 s was achieved at minimal emission and cost, which justifies the aim of the study.

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Stochastic planning of integrated power and natural gas networks with simplified system frequency constraints

Cited by 16 publications

References 34 publications

Optimal Energy Management in Autonomous Power Systems with Probabilistic Security Constraints and Adaptive Frequency Control

Optimal Energy Management in Autonomous Power Systems with Probabilistic Security Constraints and Adaptive Frequency Control

Integrated Operation of Electricity and Natural Gas Distribution Networks: A Reliability Analysis

Optimal planning of Renewable energy generators in modern power grid for enhanced system inertia

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