Risk-averse optimal operation of Multiple-Energy Carrier systems considering network constraints

Shams, Mohammad H.; Shahabi, Majid; Khodayar, Mohammad E.

doi:10.1016/j.epsr.2018.07.022

Cited by 38 publications

(22 citation statements)

References 21 publications

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“…The operational challenges and opportunities arising from the coupling of the electricity and natural gas systems have been the focus of several papers [3,[14][15][16][17][18][19][20][21][22][23][24][25]. More precisely, the coupling of electricity and gas systems via gas-fired power plants has been investigated in [14][15][16][17][18][19][20]24,25], which consider the impact of scheduling strategies and carrier physics on the reliability and performance of coupled systems. Furthermore, the effect of system coupling via power-to-gas technologies on system operation has been analysed by Belderbos [3], Clegg and Mancarella [21], Qadrdan et al [22] and Li et al [23].…”

Section: Related Workmentioning

confidence: 99%

The role of power-to-gas and carbon capture technologies in cross-sector decarbonisation strategies

Berger

Radu

Fonteneau

et al. 2020

Electric Power Systems Research

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This paper proposes an optimisation-based framework to tackle long-term centralised planning problems of multi-sector, integrated energy systems including electricity, hydrogen, natural gas, synthetic methane and carbon dioxide. The model selects and sizes the set of power generation, energy conversion and storage as well as carbon capture technologies minimising the cost of supplying energy demand in the form of electricity, hydrogen, natural gas or synthetic methane across the power, heating, transportation and industry sectors whilst accounting for policy drivers, such as energy independence, carbon dioxide emissions reduction targets, or support schemes. The usefulness of the model is illustrated by a case study evaluating the potential of sector coupling via power-togas and carbon capture technologies to achieve deep decarbonisation targets in the Belgian context. Results, on the one hand, indicate that power-togas can only play a minor supporting role in cross-sector decarbonisation strategies in Belgium, as electrolysis plants are deployed in moderate quantities whilst methanation plants do not appear in any studied scenario. On the other hand, given the limited renewable potential, post-combustion and direct air carbon capture technologies clearly play an enabling role in any decarbonisation strategy, but may also exacerbate the dependence on fossil fuels.

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Section: Related Workmentioning

confidence: 99%

The role of power-to-gas and carbon capture technologies in cross-sector decarbonisation strategies

Berger

Radu

Fonteneau

et al. 2020

Electric Power Systems Research

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“…24,25 In this paper, a linearized model of AC power flow in distribution system is used. 26,27 The linear form of AC power flow equations of distribution network are represented by Equations 9 to 14.…”

Section: Distribution Network Load Flowmentioning

confidence: 99%

“…However, AC power flow equations are nonlinear, which increase the complexity of optimization problem . In this paper, a linearized model of AC power flow in distribution system is used . The linear form of AC power flow equations of distribution network are represented by Equations to .…”

Section: System Modellingmentioning

confidence: 99%

Expansion planning of energy storages in microgrid under uncertainties and demand response

BiazarGhadikolaei

Shahabi

Barforoushi

2019

Int Trans Electr Energ Syst

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Summary In this paper, a new stochastic framework is proposed to study expansion planning problem of energy storage systems in microgrids, which contain renewable resources and responsive loads. Fluctuations on wind and solar generation, microgrid islanding capability and load's variations have considered as sources of uncertainties, which are modelled by sets of scenarios. Reserve constrains are considered to cover stochastic nature of uncertainties. Optimization problem is prepared as a two‐stage stochastic programming. Due to presence of discrete and continues variables, mathematical formulations of optimization model are implemented as a mixed integer linear programming (MILP) problem, which are solved by CPLEX solver in GAMS software. A distribution network consist of 33 buses with some responsive loads is selected as microgird to examine the effectiveness of the proposed approach. Results demonstrate that installing storage devices in microgrid cause cost reduction while improving system adequacy. The proposed model can be utilized as a planning tool for microgrids operators, which want to make decisions on choosing different types of storages and allocate them in optimum buses, considering stochastic contingencies and demand response programs.

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“…Such methodology has shown good performance on mitigating the risk of load forecasting volatilities and energy price fluctuation. Reference [19] proposed a risk-averse optimal operation strategy for multiple-energy carrier system (similar concept to IES), using CVaR method to quantify the risk associated with loads uncertainties. With regard to the operation scheduling problem of energy system, the risk-accounted optimization approaches (e.g.…”

Section: Hpcmentioning

confidence: 99%

“…Since equations (11) -(13) are nonlinear equations, it will be sophisticated to optimize the scheduling of the CHP operation. To reduce the calculation complexity, the output power model of the CHP is simplified and the relationship between the output power values and the flow rate of natural gas and hydrogen is shown in linear equations (17) - (19).…”

Section: B Constrains Of Energy-carrier Busbarsmentioning

confidence: 99%

Design and Evaluation of Operational Scheduling Approaches for HCNG Penetrated Integrated Energy System

Zhou

He²,

et al. 2019

IEEE Access

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This paper proposes and assesses three different control approaches for the hydrocarbon natural gas (HCNG) penetrated integrated energy system (IES). The three control approaches adopt mixed integer linear programing, conditional value at risk (CVaR), and robust optimization (RO), respectively, aiming to mitigate the renewable generation uncertainties. By comparing the performance and efficiency, the most appropriate control approach for the HCNG penetrated IES is identified. The numerical analysis is conducted to evaluate the three control approaches in different scenarios, where the uncertainty level of renewable energy (within the HCNG penetrated IES) varies. The numerical results show that the CVaR-based approach outperforms the other two approaches when renewable uncertainty is high (approximately 30%). In terms of the cost to satisfy the energy demand, the operational cost of the CVaR-based method is 8.29% lower than the RO one, while the RO-based approach has a better performance when the renewable uncertainty is medium (approximately 5%) and it is operational is 0.62% lower than that of the CVaR model. In both evaluation cases, mixed integer linear programing approach cannot meet the energy demand. This paper also compares the operational performance of the IES with and without HCNG. It is shown that the IES with HCNG can significantly improve the capability to accommodate renewable energy with low upgrading cost.

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Risk-averse optimal operation of Multiple-Energy Carrier systems considering network constraints

Cited by 38 publications

References 21 publications

The role of power-to-gas and carbon capture technologies in cross-sector decarbonisation strategies

The role of power-to-gas and carbon capture technologies in cross-sector decarbonisation strategies

Expansion planning of energy storages in microgrid under uncertainties and demand response

Design and Evaluation of Operational Scheduling Approaches for HCNG Penetrated Integrated Energy System

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