Coordinated Operation of Gas and Electricity Systems for Flexibility Study

et al. 2022

Energies

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With increasing attention to climate change, the penetration level of renewable energy sources (RES) in the electricity network is increasing. Due to the intermittency of RES, gas-fired power plants could play a significant role in backing up the RES in order to maintain the supply–demand balance. As a result, the interaction between gas and power networks are significantly increasing. On the other hand, due to the increase in peak demand (e.g., electrification of heat), network operators are willing to execute demand response programs (DRPs) to improve congestion management and reduce costs. In this context, modeling and optimal implementation of DRPs in proportion to the demand is one of the main issues for gas and power network operators. In this paper, an emergency demand response program (EDRP) is implemented locally to reduce the congestion of transmission lines and gas pipelines more efficiently. Additionally, the effects of optimal implementation of local emergency demand response program (LEDRP) in gas and power networks using linear and non-linear economic models (power, exponential and logarithmic) for EDRP in terms of cost and line congestion and risk of unserved demand are investigated. The most reliable demand response model is the approach that has the least difference between the estimated demand and the actual demand. Furthermore, the role of the LEDRP in the case of hydrogen injection instead of natural gas in the gas infrastructure is investigated. The optimal incentives for each bus or node are determined based on the power transfer distribution factor, gas transfer distribution factor, available electricity or gas transmission capability, and combination of unit commitment with the LEDRP in the integrated operation of these networks. According to the results, implementing the LEDRP in gas and power networks reduces the total operation cost up to 11% and could facilitate hydrogen injection to the network. The proposed hybrid model is implemented on a 24-bus IEEE electricity network and a 15-bus gas network to quantify the role and value of different LEDRP models.

Section: Modeling Of the Economic Dispatch In The Power And Gas Networkmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Impact of Local Emergency Demand Response Programs on the Operation of Electricity and Gas Systems

Davari

et al. 2022

Energies

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“…GFUs are more flexible than other generation technologies, which make these units as the main back-up to complement renewable energy generation. Furthermore, gas compressors driven by electricity as well as the emergence of power to gas (Pegs) technology, increases the interdependency of gas and electricity systems [2]. Therefore, as this interaction between the electricity and natural gas infrastructures increases, operation of each network will impact the other energy vector, which emphasizes the importance of coordinated operation of ENGN from operation [3]- [5] and planning perspectives [6].…”

Section: A Motivation and Backgroundmentioning

confidence: 99%

“…There are various ways for coordinated operation of ENGN, including the most commonly used iterative and integrated methods [2,7]. In [8], stochastic coordinated programming of ENGN is provided where in the gas network, compressors are not considered.…”

Section: B Relevant Literaturementioning

confidence: 99%

Information-Gap Decision Theory for Robust Operation of Integrated Electricity and Natural Gas Transmission Networks

Rostami

2020 International Conference on Smart Energy Systems and Technologies (SEST)

et al. 2020

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Natural gas consumption and the share of renewable energy in meeting global energy demand has grown dramatically in the recent years. On the other hand, the rapid growth of gas-fired generating units (GFU) (i.e., producing lower carbon dioxide emissions compared to coal-fired generating units), could play a key role in more integration of renewable energy sources (RESs) into the system due to their high flexibility. Therefore, the interaction between the electricity and natural gas networks (ENGN) becomes more challenging. This paper proposes a robust multi objective integrated mixed integer nonlinear optimization model, utilizing information-gap decision theory (IGDT), for secure and optimal operation of ENGN considering security constraints as well as gas and electricity load demand uncertainties. This bi-objective optimization problem is modified using normalization in the weighted sum method in order to ensuring the consistency of the optimal solutions. The proposed framework is validated on the modified IEEE 24-bus power system with a 15-node natural gas system.

“…Many studies have addressed the interaction and necessity of the integration of gas and electricity systems. The value of integrated NGEN is investigated in [11]. Flexible technologies, such as flexible gas compressors, battery storage, P2G, and demand-side response are employed and operation costs savings up to 21% are achieved.…”

Section: Introductionmentioning

confidence: 99%

Secure Operation of Integrated Natural Gas and Electricity Transmission Networks

Rostami

et al. 2020

Energies

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The interaction between natural gas and electricity networks is becoming more significant due to the projected large penetration of renewables into the energy system to meet the emission targets. This is due to the role of gas-fired plants in providing backup to renewables as the linkage between these networks. Therefore, this paper proposes a deterministic coordinated model for the secure and optimal operation of integrated natural gas and electricity transmission networks by taking into account the N-1 contingency analysis on both networks. In order to reduce the computational burden and time, an iterative algorithm is proposed to select the critical cases and neglect other contingencies, which do not have a significant impact on the energy system. The proposed integrated mixed-integer nonlinear programming operational model is evaluated and compared to another enhanced separated model on the IEEE 24-bus and 15-node gas test systems. The results emphasize the importance and effectiveness of the proposed framework (up to 6.7% operational costs savings are achieved).