Fast analytical method for reliability evaluation of electricity-gas integrated energy system considering dispatch strategies

Chen, Juanwei; Yu, Tao; Xu, Yue; Xiao-hua, Cheng; Yang, Bo; Baomin, Zhen

doi:10.1016/j.apenergy.2019.03.106

Cited by 58 publications

(26 citation statements)

References 29 publications

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“…This factor plays an important role for large industrial zones, which are also characterized by irregular gas consumption, the availability of limited resources, technological limitations, and changes in the characteristics of GTS during maintenance or repair. Achieving the best indicators at a specific time point can lead to further excessive energy consumption and loss of efficiency of the entire system during the entire planning period (Juanwei et al 2019;Xiao et al 2021). That is why the control methods, used today, when responding to current deviations from the planned regime, a priori do not allow achieving the best results (Chaczykowski y Zarodkiewicz, 2017;Seleznev y Aleshin y Pryalov, 2007).…”

Section: Methodsmentioning

confidence: 99%

Simulation and predictive control of the gas transportation system in a large industrial zone

Marchenko

Berner²,

Zeldin³

2021

Nexo Revista Científica

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The article describes an approach to the operational and supervisory control of a gas transmission system for large industrial zones using a model predictive control, as well as analytical and simulation methods. The operational and supervisory control of the gas transportation system covers the time horizon from several hours to several days and involves performing several cyclically repeated actions. The authors propose a time series predictive model of the gas consumption parameter considering temperature weather conditions, which is extended based on accounting for the correlation relationships between the consumption volumes of each consumer. The control methods used today, reacting to the current deviations from the planned regime, a priori do not allow achieving the best results. A significant increase in the stability of control and a reduction in the cost of fuel and energy resources can be achieved by using the control method based on predictive models. In this case, the control object model is used to predict its behavior within the selected time horizon, and optimal control actions are selected on this basis. The process of predicting and selecting control actions is periodically repeated, constantly changing the time horizon boundaries. The described method of changing the flow diagram consists either in changing all the flows at the same time or in a preemptive and smooth transition based on the introduction of a weighted flow diagram for various stationary modes, provided that their mismatch is minimized at neighboring time intervals corresponding to the intervals of constancy of consumption requests.

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Section: Methodsmentioning

confidence: 99%

Simulation and predictive control of the gas transportation system in a large industrial zone

Marchenko

Berner²,

Zeldin³

2021

Nexo Revista Científica

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“…At present, many scholars pay attention to the comprehensive evaluation of IES, including security, reliability, economy and environmental friendliness. For example, from the perspective of system reliability, Juanwei, C et al [13] constructed some reliability indices of natural gas system while considering reliability of the power distribution system. Wang et al [14] applied some technical indicators including the failure rate, the repair rate, the availability and the mean time to failure to evaluate the reliability of the building cooling, heating and power system.…”

Section: Literature Reviewmentioning

confidence: 99%

A Novel Comprehensive Benefit Evaluation of IEGES Based on the TOPSIS Optimized by MEE Method

2021

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The integrated electricity–gas energy system (IEGES) coordinates the power system and natural gas system through P2G equipment, gas turbines and other coupling components. The IEGES can realize wide-range and long-distance transmission of electricity, heat and natural gas, and truly realize large-scale cross-regional energy supply in space. At present, the theoretical system applicable to the comprehensive benefit evaluation of the IEGES has not been established, and the economic, environmental and social benefits of the system are still at a preliminary study stage. Therefore, the comprehensive benefit evaluation model of the IEGES is constructed, and the integrated benefit evaluation indicator system of the IEGES is designed along the investment and planning, energy supply, equipment operation, power distribution and terminal user. Through the combination of subjective and objective indicator weighting methods, the weights of each indicator are clarified and the matter-element extension theory (MEE) is used to improve the technique for order preference by similarity to ideal solution (TOPSIS), and the comprehensive benefit evaluation model of the IEGES is established. Finally, taking Beijing Yanqing IEGES, Tianjin Eco-city No. 2 Energy Station and Hebei IEGES III as an example, the practicability and effectiveness of the evaluation indicator system and model are verified.

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“…In a specific case, [86] developed a robust dispatching model that considered an unexpected scenario of a natural gas pipeline and an N-1 power transmission. A new topology simplification method was proposed to calculate the reliability index of a natural gas system in [39], and the reliability of the distribution system was evaluated based on the shortest path method. In particular, a reliability model of the coupling device was established to quantify the interdependence between the distribution system and the gas distribution system.…”

Section: ) System Level Reliability Indexmentioning

confidence: 99%

Reliability Modeling and Evaluation of Urban Multi-Energy Systems: A Review of the State of the Art and Future Challenges

Yuan

Yang

et al. 2020

IEEE Access

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Urban multi-energy systems (UMESs) are integrated energy systems (IESs) which can alleviate the current energy crisis, improve energy utilization and realize multi-energy complementarity of modern. Various subsystems involved in the coupling of UMESs, including power grids, gas pipeline networks, cold/heat networks, transportation networks, and energy cyber-physical system, exhibit coupling characteristics such as multi-energy source modeling, complex uncertainty factor modeling, mutual influence of information and physical coupling. At present, the modeling and reliability assessments of UMESs are the most urgent tasks. In this paper, the latest research results on the reliability modeling and evaluation of UMESs are analyzed by considering their coupling components. In addition, the reliability modeling methods and the evaluation indexes of UMESs, including power-gas systems, power-thermal systems, powertraffic systems, and energy cyber-physical systems, are presented in this paper, with specific UMES modeling methods divided into model-driven modeling and data-driven modeling. Finally, future challenges for the reliability modeling and evaluation of UMESs are proposed, such as the dispatch strategy of the coupling components needs to be developed and continuously optimized to improve the reliability of UMESs, and the resilience of UMESs under the extreme scenarios needs to be further studied.INDEX TERMS Urban multi-energy system, reliability indexes, reliability modeling, coupling components, resilience.

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Fast analytical method for reliability evaluation of electricity-gas integrated energy system considering dispatch strategies

Cited by 58 publications

References 29 publications

Simulation and predictive control of the gas transportation system in a large industrial zone

Simulation and predictive control of the gas transportation system in a large industrial zone

A Novel Comprehensive Benefit Evaluation of IEGES Based on the TOPSIS Optimized by MEE Method

Reliability Modeling and Evaluation of Urban Multi-Energy Systems: A Review of the State of the Art and Future Challenges

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