Optimal Operation of Integrated Electrical and Natural Gas Networks with a Focus on Distributed Energy Hub Systems

Hemmati, Mahmood; Abapour, Mehdi; Mohammadi‐Ivatloo, Behnam; Anvari‐Moghaddam, Amjad

doi:10.3390/su12208320

Cited by 42 publications

(21 citation statements)

References 55 publications

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“…The existence of linepack system in natural gas networks is very useful and increases the flexibility of NG systems and generation units, especially in critical times of the NG network. In addition, the linepack system reduces the total operating costs of the integrated electricity and NG system. In some studies, for example, [16–19, 21–24], the problem of optimal generation scheduling of CHP units has been evaluated without considering the constraints of the NG network. Constraints of the NG network have a significant impact on the commitment of units in the power grid.…”

Section: Introductionmentioning

confidence: 99%

“…In addition, the linepack system reduces the total operating costs of the integrated electricity and NG system. • In some studies, for example, [16][17][18][19][21][22][23][24], the problem of optimal generation scheduling of CHP units has been evaluated without considering the constraints of the NG network. Constraints of the NG network have a significant impact on the commitment of units in the power grid.…”

Section: Introductionmentioning

confidence: 99%

“…Equation(15) applies the minimum ON time requirement for the final T on i hours of the study horizon. Equation(16) applies the minimum OFF time requirement if generation unit i is off-line at the beginning of the study horizon. Equation(17) applies the minimum OFF time requirement for all consecutive sets of hours of cardinality T…”

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confidence: 99%

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Interval optimization‐based scheduling of interlinked power, gas, heat, and hydrogen systems

Nasiri

Yazdankhah

Mirzaei

et al. 2021

IET Renewable Power Gen

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The combined heat and power (CHP) plant is one of the emerging technologies of gas‐fired units, which plays an important role in reducing environmental pollutants and delivering high energy efficiency. Moreover, the hydrogen energy storage (HES) system with extra power storage from wind turbine via power to hydrogen technology allows the injection of stored energy into the power grid by reverse hydrogen to power services, offsetting in this way the uncertainty of wind power. Consequently, simultaneous usage of CHP and HES units not only makes the maximum use of wind power distribution but also increases flexibility and reduces the operating costs of the entire network. Therefore, this paper proposes an interval optimization technique for managing the uncertainty of wind power generation in the integrated electricity and natural gas (NG) networks considering CHP–HES. Moreover, to enhance the flexibility of the NG network, a linearized Taylor series‐based model is proposed for modelling linepack of gas pipelines in the proposed scheduling framework that is formulated mixed‐integer linear programming and solved using the Cplex solver. The obtained results indicate that the simultaneous use of CHP–HES in the day‐ahead scheduling reduces the operating cost and increases the flexibility of the whole network.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Interval optimization‐based scheduling of interlinked power, gas, heat, and hydrogen systems

Nasiri

Yazdankhah

Mirzaei

et al. 2021

IET Renewable Power Gen

View full text Add to dashboard Cite

show abstract

“…The International Energy Agency estimates a 130% rise in CO 2 emissions, a 70% rise in oil consumption, and a 6 • C rise in the global average temperature by 2050 [2]. The penetration of renewable energy sources (RES) would replace carbon-intensive energy resources and decrease global warming emissions [3]. Microgrids (MGs) as a viable solution against the concerns above have been receiving increasing attention to facilitate the large-scale penetration of distributed energy resources, particularly RESs [4].…”

Section: Introduction 1literature Reviewmentioning

confidence: 99%

Eco-Emission Analysis of Multi-Carrier Microgrid Integrated with Compressed Air and Power-to-Gas Energy Storage Technologies

et al. 2021

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Growing concerns about global greenhouse gas emissions have led power systems to utilize clean and highly efficient resources. In the meantime, renewable energy plays a vital role in energy prospects worldwide. However, the random nature of these resources has increased the demand for energy storage systems. On the other hand, due to the higher efficiency of multi-energy systems compared to single-energy systems, the development of such systems, which are based on different types of energy carriers, will be more attractive for the utilities. Thus, this paper represents a multi-objective assessment for the operation of a multi-carrier microgrid (MCMG) in the presence of high-efficiency technologies comprising compressed air energy storage (CAES) and power-to-gas (P2G) systems. The objective of the model is to minimize the operation cost and environmental pollution. CAES has a simple-cycle mode operation besides the charging and discharging modes to provide more flexibility in the system. Furthermore, the demand response program is employed in the model to mitigate the peaks. The proposed system participates in both electricity and gas markets to supply the energy requirements. The weighted sum approach and fuzzy-based decision-making are employed to compromise the optimum solutions for conflicting objective functions. The multi-objective model is examined on a sample system, and the results for different cases are discussed. The results show that coupling CAES and P2G systems mitigate the wind power curtailment and minimize the cost and pollution up to 14.2% and 9.6%, respectively.

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“…The upper layer was a multienergy flow calculation of power system, natural gas system and thermal system, while the lower layer was a multiobjective model considering operation cost, renewable energy consumption, pollution emission and fossil energy consumption. Reference [18] proposed a novel two-stage stochastic scheduling of probabilistic approach and established a model with IESs, distribution grid and natural gas system to improve the economy of the system. References [19], [20] proposed a demand response mechanism that considered the electricity load and thermal load and constructed a multi-time scale optimal scheduling model and a multi-objective optimal scheduling model, respectively.…”

Section: Introductionmentioning

confidence: 99%

Two-Stage Joint Optimal Scheduling of a Distribution Network With Integrated Energy Systems

Jiang

Mei

et al. 2021

IEEE Access

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The coordinated operation of an integrated energy system (IES) and a distribution network is the inevitable development trend of the energy Internet of the future. The day-ahead optimal scheduling of the IES is an important way to improve new energy efficiency and the energy economy. When the IES and the distribution network exchange electrical energy, the voltage of the distribution network may be out of limit. This article presents a two-stage joint optimal scheduling method for a distribution network with IESs to improve the economy of the IESs and the safety of the distribution network. In the first stage, the user's demand response and the electrical energy interaction between IESs are considered, and the schedulable potential of the systems is fully tapped. In the second stage, a bi-level scheduling model is adopted: the upper model takes the distribution network as the control object and reduces the power loss by adjusting the exchange power between the distribution network and the IESs. The lower model takes the IESs as the control objects and obtains the scheme with the lowest cost in each IES through multi-objective particle swarm optimization. Taking the IEEE 33-node distribution system as an example, simulation research is performed to show that the total network loss is 17.01% lower and the total cost is 5.36% lower than the method without two-stage optimal scheduling, which verifies the effectiveness of the proposed method. INDEX TERMS Integrated energy system (IES), joint optimal scheduling, power interaction, bi-level scheduling model.

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Optimal Operation of Integrated Electrical and Natural Gas Networks with a Focus on Distributed Energy Hub Systems

Cited by 42 publications

References 55 publications

Interval optimization‐based scheduling of interlinked power, gas, heat, and hydrogen systems

Interval optimization‐based scheduling of interlinked power, gas, heat, and hydrogen systems

Eco-Emission Analysis of Multi-Carrier Microgrid Integrated with Compressed Air and Power-to-Gas Energy Storage Technologies

Two-Stage Joint Optimal Scheduling of a Distribution Network With Integrated Energy Systems

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