Security-constrained bi-level economic dispatch model for integrated natural gas and electricity systems considering wind power and power-to-gas process

Guo-qing, LI; Zhang, Rufeng; Jiang, Tao; Chen, Houhe; Bai, Linquan; Li, Xiaojing

doi:10.1016/j.apenergy.2016.07.077

Cited by 226 publications

(120 citation statements)

References 26 publications

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“…Electric Boiler/Power to Gas/Transformer/Heat Exchanger (EB/P2G/TRANS/HE) EB, P2G, TRANS, and HE are less affected by changes in the external environment and part load rate, and their off-design performance are ignored in this paper [8,10]. It follows from [24,25] that the relationship between their input and output can be uniformly expressed as:…”

Section: Absorption Lithium Bromide Chiller (Abs)mentioning

confidence: 99%

Hierarchical Multi-Objective Fuzzy Collaborative Optimization of Integrated Energy System under Off-Design Performance

Zhong

Zhou²,

Zong³

et al. 2019

Energies

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In order to solve the frequently occurred nonlinear working characteristics problem of the devices in integrated energy system (IES), where this nonlinear problem causes the offset of operation characteristics and design points of those devices, in this paper, the hierarchical multi-objective fuzzy collaborative optimization model of IES under off-design performance is proposed. Firstly, the high-order nonlinear models of devices under off-design performance, including fuel cell (FC), gas turbine (GT), absorption lithium bromide chiller (ABS), etc., are presented considering renewable energy and diversified storage devices, which can more accurately describe the actual working condition of devices. Secondly, according to the needs of different engineering application modes, the lower level collaborative optimization model of energy hub (EH) with economic, eco-friendly, primary energy saving, and renewable energy accommodation rate as optimization objectives is proposed, which can well adapt to and reflect real world energy system. Thirdly, based on the relationship between master and slave dispatch centers, the upper level modeling and optimal scheduling model of IES consisting of coupling power system, natural gas system, and heat system is proposed. Then, a multi-objective fuzzy collaborative optimization model for EH and IES is developed, where continuous differentiable Sigmoid function is taken as the membership function. Finally, simulation results show that the proposed models and optimal dispatch method can effectively solve the frequently occurred non-linear working characteristics problem of the devices in IES. The optimal results are suitable for planning, calculation, operation, dispatch of IES, which can reasonably reflect the operation characteristics of IES.

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Section: Absorption Lithium Bromide Chiller (Abs)mentioning

confidence: 99%

Hierarchical Multi-Objective Fuzzy Collaborative Optimization of Integrated Energy System under Off-Design Performance

Zhong

Zhou²,

Zong³

et al. 2019

Energies

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show abstract

“…A robust scheduling model for the wind-integrated IEGS was developed in [9], with the considerations of both gas pipeline and power transmission N 2 1 contingencies. A security-constrained economic dispatching for IEGS was introduced in [10], in which economic supplies for both natural gas and electricity systems were dispatched simultaneously due to their firm interconnections. A security-constrained optimal power flow and natural gas flow model was formulated in [11], in which a contingency analysis for natural gas system was developed via linear sensitivity factors.…”

Section: Introductionmentioning

confidence: 99%

Integrated coordination scheduling framework of electricity-natural gas systems considering electricity transmission N − 1 contingencies and gas dynamics

Chen

Bao

2019

J. Mod. Power Syst. Clean Energy

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This paper discusses a security-constrained integrated coordination scheduling framework for an integrated electricity-natural gas system (IEGS), in which both tight interdependence between electricity and natural gas transmission networks and their distinct dynamic characteristics at different timescales are fully considered. The proposed framework includes two linear programming models. The first one focuses on hour-based steady-state coordinated economic scheduling on power outputs of electricity generators and mass flow rates of natural gas sources while considering electricity transmission N -1 contingencies. Using the steady-state mass flow rate solutions of gas sources as the initial value, the second one studies second-based slow gas dynamics and optimizes pressures of gas sources to ensure that inlet gas pressure of gas-fired generator is within the required pressure range at any time between two consecutive steady-state scheduling. The proposed framework is validated via an IEGS consisting of an IEEE 24-bus electricity network and a 15-node 14-pipeline natural gas network coupled by gasfired generators. Numerical results illustrate the effectiveness of the proposed framework in coordinating electricity and natural gas systems as well as achieving economic and reliable operation of IEGS.

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“…The co-optimization of the electric power system and the natural gas system has received more and more attention. There is a bi-directional energy flow between the electric network and natural gas network through the coupling devices, the gas-fired turbines (GFT) and the power-to-gas (P2G) [10][11][12]. In this way, the IEGS can achieve economical operation with high efficiency.…”

Section: Introductionmentioning

confidence: 99%

A Robust Formulation Model for Multi-Period Failure Restoration Problems in Integrated Energy Systems

2019

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The risks faced by modern energy systems are increasing, primarily caused by natural disasters. As a new form of multi-level energy complimentary utilization, integrated energy systems are attracting more and more attention for their high-efficiency and low-cost. However, due to the deep coupling relationship between systems, they are more susceptible to natural disasters, resulting in a cascading failure. To enhance the resilience of the integrated electricity-gas system, this paper proposes a failure restoration strategy after a natural disaster occurs. First, the temporal constraints of the dispatching model are considered, and the failure restoration problem is molded into a multi-period mixed-integer linear programme, aiming to recover the interrupted loads as much as possible. Second, since the uncertain output of distributed generation sources (DGs) such as wind turbines and photovoltaic systems will threat the reliability of restoration results, the robust formulation model is incorporated to cope with this problem. Third, we propose a new modeling method for radial topology constraints towards failure restoration. Moreover, the Column and Constraints Generation (C&CG) decomposition method is utilized to solve the robust model. Then, the piecewise linearization technique and the linear DistFlow equations are utilized to eliminate the nonlinear terms, providing a model that could be easily solved by an off-shelf commercial solver. The obtained results include the sequence of line/pipeline switchgear actions, the time-series dispatching results of electricity storage system, gas storage system, and the coupling devices including the gas-fired turbine, power to gas equipment. Finally, the effectiveness of the proposed restoration strategy is verified by numerical simulation on a 13-6 node integrated energy system.

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Security-constrained bi-level economic dispatch model for integrated natural gas and electricity systems considering wind power and power-to-gas process

Cited by 226 publications

References 26 publications

Hierarchical Multi-Objective Fuzzy Collaborative Optimization of Integrated Energy System under Off-Design Performance

Hierarchical Multi-Objective Fuzzy Collaborative Optimization of Integrated Energy System under Off-Design Performance

Integrated coordination scheduling framework of electricity-natural gas systems considering electricity transmission N − 1 contingencies and gas dynamics

A Robust Formulation Model for Multi-Period Failure Restoration Problems in Integrated Energy Systems

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