A Linear Programming Approach to Expansion Co-Planning in Gas and Electricity Markets

Qiu, Jing; Yang, Hongming; Zhang, Dong; Zhao, Jun; Meng, Ke; Luo, Fengji; Wong, Kit Po

doi:10.1109/tpwrs.2015.2496203

Cited by 109 publications

(58 citation statements)

References 37 publications

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“…The first-order Taylor expansion is adopted for linearizing the gas pipeline and compressor constraints such that the gaselectricity network constraints are linearized to facilitate the implementation of robust optimization [8]. …”

Section: Modeling Of Gas Pipeline and Power Transmission N-1 Contmentioning

confidence: 99%

Robust Scheduling for Wind Integrated Energy Systems Considering Gas Pipeline and Power Transmission N-1 Contingencies

Bai

Jiang

et al. 2016

IEEE Trans. Power Syst.

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The paradigm change to low-carbon grids includes growing amount of natural gas power generation and increasing penetration of wind power. Consequently, the security of natural gas network and the wind power uncertainty bring new challenges for power system operation. This letter develops a robust scheduling model for wind integrated energy systems with the considerations of both gas pipeline and power transmission N-1 contingencies. The proposed method is robust against wind power uncertainty to ensure that the system can sustain possible N-1 contingency event of gas pipeline or power transmission line. Case studies demonstrate the effectiveness of the proposed model.Index Terms-Natural gas, transmission network, N-1 contingency, robust optimization, wind power uncertainty.

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Section: Modeling Of Gas Pipeline and Power Transmission N-1 Contmentioning

confidence: 99%

Robust Scheduling for Wind Integrated Energy Systems Considering Gas Pipeline and Power Transmission N-1 Contingencies

Bai

Jiang

et al. 2016

IEEE Trans. Power Syst.

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“…The interaction and interdependency of MESs are strengthened by the increasing penetration of cogeneration systems, such as combined heat and power plants (CHPs) with high energy conversion efficiency [4]- [6]. To achieve optimal planning and operation of a MES, the coordinated analysis of multi-energy carriers is desirable [7]- [8].…”

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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“…In the quest for improving economic efficiency and promoting sustainable development, electric power industries have experienced major changes in the regulatory structure over the last few decades [1][2][3][4][5][6][7]. Regarding the generation expansion planning (GEP) and operation decisions by generation companies (GENCOs), the issue of profitability is critical in terms of strategies offered to the market (short-term) and the generation capacity expansion (long-term) [8][9][10][11][12].…”

Section: Introductionmentioning

confidence: 99%

Dynamic Carbon-Constrained EPEC Model for Strategic Generation Investment Incentives with the Aim of Reducing CO2 Emissions

et al. 2019

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According to the European Union Emissions Trading Scheme, energy system planners are encouraged to consider the effects of greenhouse gases such as CO 2 in their short-term and long-term planning. A decrease in the carbon emissions produced by the power plant will result in a tax decrease. In view of this, the Dynamic carbon-constrained Equilibrium programming equilibrium constraints (DCC-EPEC) Framework is suggested to explore the effects of distinct market models on generation development planning (GEP) on electricity markets over a multi-period horizon. The investment incentives included in our model are the firm contract and capacity payment. The investment issue, which is regarded as a set of dominant producers in the oligopolistic market, is developed as an EPEC optimization problem to reduce carbon emissions. In the suggested DCC-EPEC model, the sum of the carbon emission tax and true social welfare are assumed as the objective function. Investment decisions and the strategic behavior of producers are included at the first level so as to maximize the overall profit of the investor over the scheduling period. The second-level issue is market-clearing, which is resolved by an independent system operator (ISO) to maximize social welfare. A real power network, as a case study, is provided to assess the suggested carbon-constrained EPEC framework. Simulations indicate that firm contracts and capacity payments can initiate the capacity expansion of different technologies to improve the long-term stability of the electricity market.

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A Linear Programming Approach to Expansion Co-Planning in Gas and Electricity Markets

Cited by 109 publications

References 37 publications

Robust Scheduling for Wind Integrated Energy Systems Considering Gas Pipeline and Power Transmission N-1 Contingencies

Robust Scheduling for Wind Integrated Energy Systems Considering Gas Pipeline and Power Transmission N-1 Contingencies

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

Dynamic Carbon-Constrained EPEC Model for Strategic Generation Investment Incentives with the Aim of Reducing CO2 Emissions

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