Synergistic Operation of Electricity and Natural Gas Networks via ADMM

Wen, Yunfeng; Qu, Xiaobin; Li, Wenyuan; Li, Xuan; Yang, Xi

doi:10.1109/tsg.2017.2663380

Cited by 184 publications

(108 citation statements)

References 23 publications

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“…(2) Electricity network constraints Electricity network are restrained by constraints (10)- (13). Constraint (10) states that electricity at each bus should be balanced. Constraint (11) calculates the power flow on the transmission line by the DC-method, and the limited transmission capacity should be lower than its maximum bound.…”

Section: Transmission System Constraints Of Interconnected Ehsmentioning

confidence: 99%

Linearized Stochastic Scheduling of Interconnected Energy Hubs Considering Integrated Demand Response and Wind Uncertainty

Zhang

Yan

et al. 2018

Energies

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In the context of the Energy Internet, customers are supplied by energy hubs (EH), while the EHs are interconnected through an upper-level transmission system. In this paper, a stochastic scheduling model is proposed for the interconnected EHs considering integrated demand response (DR) and wind variation. The whole integrated energy system (IES) is linearly modeled for the first time. The output-input relationship within the energy hub is denoted as a linearized matrix, while the upper-level power and natural gas transmission systems are analyzed through piecewise linearization method. A novel sequential linearization method is further proposed to balance computational efficiency and approximation accuracy. Integrated demand response is introduced to smooth out demand curve, considering both internal DR achieved by the optimal energy conversion strategy within energy hubs, and external DR achieved by demand adjustment on the customer’s side. Distributed energy storage like natural gas and heat storage are considered to provide buffer for system operation. The proposed stochastic model is solved by scenario-based optimization with a backward scenario reduction strategy. Numerical tests on a three-hub and seventeen-hub interconnected system that validates the effectiveness of the proposed scheduling model and solution methodology.

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Section: Transmission System Constraints Of Interconnected Ehsmentioning

confidence: 99%

Linearized Stochastic Scheduling of Interconnected Energy Hubs Considering Integrated Demand Response and Wind Uncertainty

Zhang

Yan

et al. 2018

Energies

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“…Based on the interaction mechanism between subsystems, the unified Newton-Raphson method (UNM) has been customized for the EFC in electricity-gas systems [18], electricity-heating system [19] and electricity-gas-heating systems [20]- [22]. In UNM, all EFC equations related to subsystems are simultaneously solved in a central place, so that the information of whole MES need to be shared and aggregated by a joint operator [23]. However, this approach is normally impractical, because electricity, gas and heating systems are generally managed by different entities.…”

Section: Introductionmentioning

confidence: 99%

“…The structure of information exchange among subsystems is vital to develop the distributed method for the EFC in MESs, which determines information flow in the solution process. Two different information exchange structures in MESs can be implemented in practice, denoted as Structures (a) and (b) [23]. In Structure (a), the information flows as a loop in a sequential way across the electricity system operator (ESO), gas system operator (GSO) and heating system operator (HSO).…”

Section: Introductionmentioning

confidence: 99%

A Fixed-Point Based Distributed Method for Energy Flow Calculation in Multi-Energy Systems

Zhang

Meng

et al. 2020

IEEE Trans. Sustain. Energy

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Energy flow calculation (EFC) plays an important role in steady-state analysis of multi-energy systems (MESs). However, the independent management of sub-energy systems (subsystems) poses a considerable challenge to solve the high-order nonlinear energy flow model due to the limited information exchange between these subsystems. In this paper, a fixed-point based distributed method is proposed for EFC in an electricity-gas-heating system. Firstly, the mathematical modeling of each subsystem with coupling units is introduced. Then, two information exchange structures among subsystems are presented as sequential and parallel structures. Based on the fixed-point theorem, novel distributed sequential and parallel methods for EFC are proposed to calculate energy flow distribution in MESs. In our proposed method, the EFC in subsystems is implemented by the individual system operators, with limited information exchange between subsystems. Therefore, the information privacy of subsystems can be preserved in this solution process. Moreover, the convergence of the proposed method is guaranteed, and the sufficient conditions for the convergence are presented. Lastly, simulations on a MES demonstrate the effectiveness of the proposed method and the quantified superiority over the existing methods in computation time, accuracy and reliability. 1 Index Terms-Distributed method, energy flow calculation, fixed-point, high-order nonlinear equation, multi-energy system. i The active and reactive loads at bus i. P lossThe power loss of whole networks. ∆P i , ∆Q i Active and reactive power mismatches at bus i.

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“…Therefore, a piecewise linearization method was introduced in [7] for the nonlinear gas equations, which generated a mixed integer linear programming (MILP). Moreover, a convex relaxation to the gas equations was adopted in [8], resulting in a mixed integer second order cone programming (MISOCP).…”

Section: Introductionmentioning

confidence: 99%

A Tight Linear Program for Feasibility Check and Solutions to Natural Gas Flow Equations

Ding

Yang

et al. 2019

IEEE Trans. Power Syst.

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This letter proposed a novel convex optimization model, whose optimal solution is proved to be the precise solution of the natural gas flow equations. Furthermore, a linear program is employed to tightly linearize the nonlinear parts and a corollary is given to check the feasibility. Numerical results show the effectiveness of the proposed method.  Index Terms-Integrated power and natural gas systems, gas flow equations, feasibility testing, constraint satisfaction problem

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Synergistic Operation of Electricity and Natural Gas Networks via ADMM

Cited by 184 publications

References 23 publications

Linearized Stochastic Scheduling of Interconnected Energy Hubs Considering Integrated Demand Response and Wind Uncertainty

Linearized Stochastic Scheduling of Interconnected Energy Hubs Considering Integrated Demand Response and Wind Uncertainty

A Fixed-Point Based Distributed Method for Energy Flow Calculation in Multi-Energy Systems

A Tight Linear Program for Feasibility Check and Solutions to Natural Gas Flow Equations

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