Integration of emerging resources in IGDT-based robust scheduling of combined power and natural gas systems considering flexible ramping products

Mirzaei, Mohammad Amin; Sadeghi-Yazdankhah, Ahmad; Mohammadi‐Ivatloo, Behnam; Marzband, Mousa; Shafie‐khah, Miadreza; Catalão, João P.S.

doi:10.1016/j.energy.2019.116195

Cited by 100 publications

(49 citation statements)

References 51 publications

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“…The main approach of these methods is to create a suitable platform based on different multi-stage optimisation models to optimise the energy flow in the integrated systems [2][3][4]. Establishing an appropriate connection between electricity and natural gas networks brings many benefits to the society (such as reducing the greenhouse gas emissions), consumers (such as decreasing energy price), and grid operators (such as boosting the power system reliability) [5][6][7]. For this reason, in recent years, the energy hub system (EHS) as an emerging concept has been utilised to supply the demands of electrical, thermal, and gas [8].…”

Section: Introductionmentioning

confidence: 99%

Integrated energy hub system based on power‐to‐gas and compressed air energy storage technologies in the presence of multiple shiftable loads

Mirzaei

Oskouei

Mohammadi‐Ivatloo

et al. 2020

IET Generation Trans & Dist

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Integrated energy carriers in the framework of energy hub system (EHS) have an undeniable role in reducing operating costs and increasing energy efficiency as well as the system's reliability. Nowadays, power‐to‐gas (P2G), as a novel technology, is a great choice to intensify the interdependency between electricity and natural gas networks. The proposed strategy of this study is divided into two parts: (i) a conditional value‐at‐risk‐based stochastic model is presented to determine the optimal day‐ahead scheduling of the EHS with the coordinated operating of P2G storage and tri‐state compressed air energy storage (CAES) system. The main objective of the proposed strategy is to indicate the positive impact of P2G storage and tri‐state CAES on lessening the system uncertainties including electricity market price, power generation of the wind turbine, and even electrical, gas, and thermal demands. (ii) A demand response program focusing on day‐ahead load shifting is applied to the multiple electrical loads according to the load's activity schedule. The proposed strategy is successfully applied to an illustrative example and is solved by general algebraic modeling system software. The obtained results validate the proposed strategy by demonstrating the considerable diminution in the operating cost of the EHS by almost 4.5%.

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Section: Introductionmentioning

confidence: 99%

Integrated energy hub system based on power‐to‐gas and compressed air energy storage technologies in the presence of multiple shiftable loads

Mirzaei

Oskouei

Mohammadi‐Ivatloo

et al. 2020

IET Generation Trans & Dist

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“…To the best knowledge of the authors, none of the reviewed works have examined the synergy between the HES system and the integrated electricity and NG networks in the presence of the CHP unit and linepack flexibility. The main gaps in the reviewed literature can be summarized as follows: In some works, for example, [3–9, 11–14], the problem of optimal scheduling of integrated electricity and NG systems without considering the linepack system has been investigated. 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.…”

Section: Introductionmentioning

confidence: 99%

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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“…Also, this issue, by increasing the outage rate of lines, affects the resiliency of the network and, consequently, the operation of the EVCS. New challenges in resource scheduling and forecasting wind effects on outage rates are studied in References 31 and 32, where a few solutions are introduced to solve challenges of a hybrid system with considering wind power uncertainty.…”

Section: Introductionmentioning

confidence: 99%

Optimal resiliency‐oriented charging station allocation for electric vehicles considering uncertainties

Akhgarzarandy

Wang

Farzinfar

2021

Int Trans Electr Energ Syst

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Summary This paper presents a resiliency‐oriented multi‐objective approach for optimal allocation of electric vehicles' (EV) charging station (EVCS) within distribution network. In addition, the effect of implementation of the demand response programs (DRP) is considered while allocating EVCSs. For this purpose, an appropriate modeling for considering various uncertainties such as consumption load, energy price, and initial state of EV charge are firstly presented. Moreover, the uncertainty and dynamic risk of wind speed during extreme weather conditions, as an important parameter that affects lines outage and grid resiliency, are accurately modeled. In the proposed methodology of this paper, the benefits obtained by ENS reduction and power loss is optimally shared with the EVCS owner to incentivize the investors to cooperate with DISCO and to invest in the construction of EVCS. The formulated problem is solved by utilization of an NSGA‐II‐based method embedded by scenario‐based approach and Monte‐Carlo method. The proposed formulation is applied to a standard network (IEEE 9 buses), and related Pareto‐front solutions for an economic‐resilient EVCS allocation, while maximizing benefits of Distribution Company Operator (DISCO) and EVCS owner are calculated. The results show that, in case of allocation two EVCSs and applying DRP program, total profits of DISCO is increased by 36.70% and 40.07%, respectively, compared with traditional grid that there is no EVCS or DRP implementation. Moreover, applying DRP, with its positive effect on peak load and power losses, reduces the EVCS capacities.

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Integration of emerging resources in IGDT-based robust scheduling of combined power and natural gas systems considering flexible ramping products

Abstract: Integration of emerging resources in IGDT-based robust scheduling of combined power and natural gas systems considering flexible ramping products. Energy, 189. p. 116195.

Cited by 100 publications

References 51 publications

Integrated energy hub system based on power‐to‐gas and compressed air energy storage technologies in the presence of multiple shiftable loads

Integrated energy hub system based on power‐to‐gas and compressed air energy storage technologies in the presence of multiple shiftable loads

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

Optimal resiliency‐oriented charging station allocation for electric vehicles considering uncertainties

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