Multi-objective optimization for an integrated renewable, power-to-gas and solid oxide fuel cell/gas turbine hybrid system in microgrid

Ding, Xuedong; Sun, Wei; Harrison, Gareth; Lv, Xiaojing; Weng, Yiwu

doi:10.1016/j.energy.2020.118804

Cited by 94 publications

(37 citation statements)

References 41 publications

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“…First, based on the min-max fuzzy approach, the min and max rates of two objectives (cost and emission) are defined [61]. Then, each objective's normalized form based on the min and max rates is calculated as Equations ( 29) and (30).…”

Section: Solution Methodsmentioning

confidence: 99%

“…The proposed two-stage robust optimization method can effectively improve the system's flexibility to decrease system operational cost. A management strategy considering a multi-objective optimization framework for a multi-carrier MG (MCMG) system consists of integrated local wind resources, P2G facility, and solid oxide fuel cell/gas hybrid turbine system was proposed in [30]. An optimal multi-objective optimization framework using Conditional Value at Risk criteria and a robust optimization approach was presented in [31].…”

Section: Introduction 1literature Reviewmentioning

confidence: 99%

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Eco-Emission Analysis of Multi-Carrier Microgrid Integrated with Compressed Air and Power-to-Gas Energy Storage Technologies

et al. 2021

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Growing concerns about global greenhouse gas emissions have led power systems to utilize clean and highly efficient resources. In the meantime, renewable energy plays a vital role in energy prospects worldwide. However, the random nature of these resources has increased the demand for energy storage systems. On the other hand, due to the higher efficiency of multi-energy systems compared to single-energy systems, the development of such systems, which are based on different types of energy carriers, will be more attractive for the utilities. Thus, this paper represents a multi-objective assessment for the operation of a multi-carrier microgrid (MCMG) in the presence of high-efficiency technologies comprising compressed air energy storage (CAES) and power-to-gas (P2G) systems. The objective of the model is to minimize the operation cost and environmental pollution. CAES has a simple-cycle mode operation besides the charging and discharging modes to provide more flexibility in the system. Furthermore, the demand response program is employed in the model to mitigate the peaks. The proposed system participates in both electricity and gas markets to supply the energy requirements. The weighted sum approach and fuzzy-based decision-making are employed to compromise the optimum solutions for conflicting objective functions. The multi-objective model is examined on a sample system, and the results for different cases are discussed. The results show that coupling CAES and P2G systems mitigate the wind power curtailment and minimize the cost and pollution up to 14.2% and 9.6%, respectively.

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Section: Solution Methodsmentioning

confidence: 99%

Section: Introduction 1literature Reviewmentioning

confidence: 99%

Eco-Emission Analysis of Multi-Carrier Microgrid Integrated with Compressed Air and Power-to-Gas Energy Storage Technologies

et al. 2021

View full text Add to dashboard Cite

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“…(1) System power balance constraints Power balance constraint is a critical constraint for micro-grid operation, that is, the sum of micro-grid output and micro-grid load demand are equal in a scheduling cycle [9] P lt (t) = P w (t) + P p (t) + P f (t) + P m (t) + P mg (t) + P i (t)…”

Section: Constraint Conditionmentioning

confidence: 99%

Research on Grid Connected Optimization Scheduling of Micro-grid Utilizing on Improved Bee Colony Method

Zhang¹

2021

DGAEJ

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In order to achieve grid connected optimal dispatch of micro-grid, a improved bee colony method is put forward to carry out optimization of grid connected dispatch. Firstly, the optimal scheduling model of micro-grid grid connection, and the overall cost of generating electricity and environmental cost of micro-grid grid connection is used as objective function, and system power balance constraint, power constraint of micro power supply, contact line constraint that interacted with main grid and charge and discharge cycle of battery are used as constraint conditions. Secondly, the improved bee colony algorithm is established through introducing particle swarm algorithm. Finally, a residential area is used as an example, and the optimal dispatch of micro-grid grid connection is carried out based on proposed model, and simulation results showed that the proposed model has higher correctness and efficiency.

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“…For a long time, the power supply of islands has completely relied on traditional fossil fuel generators [2]. With the rise of fuel prices, the gradual depletion of fossil fuels, and human's increasing attention to environmental protection, the utilization of renewable resources to satisfy the energy demand of island locally is becoming more and more popular [3]. As an effective form of renewable energy utilization, microgrid plays a more and more important role in solving the electricity deficit problem on islands.…”

Section: Introductionmentioning

confidence: 99%

“…(2) At the same time, most of the existing studies on the economic operation optimization of island microgrid do not consider the uncertainty of renewable resources and load demand; that is, the predicted data is directly used as a determined value for operation optimization and results in a gap between the optimization results and the actual operation to a certain extent. (3) In researches where uncertainties of renewable resources or load demand are considered, the uncertainty modelling process is often complex and has many parameters, the probability distribution needs to be specified upfront, or the optimization results can only give the possible scenarios and their probability of occurrence.…”

Section: Introductionmentioning

confidence: 99%

Multiobjective Economic Optimal Dispatch for the Island Isolated Microgrid under Uncertainty Based on Interval Optimization

Guo-ping

Sheng

2021

Mathematical Problems in Engineering

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In order to analyse the impact of renewable generation and load uncertainties on the economic operation optimization of the island microgrid, a multiobjective economic optimal dispatch model under uncertainty based on interval optimization is proposed in this paper. The mathematical model of distributed generation and the prediction model of wind speed and wave generation are established. The uncertainties of renewable generation and load are described by the interval mathematical method. On this basis, the interval multiobjective optimal dispatch model is presented. For the “battery disgusting” users on the island, the battery cost is regarded as a separate optimization objective, and a multiobjective optimization objective function to minimize the economic cost, battery cost, and pollution emission of the island microgrid is discussed. An island microgrid, composed of wind turbine, photovoltaic, wave energy generation, diesel generator, and energy storage system, is chosen as a case study. The NSGA-II algorithm is applied to solve the multiobjective optimal problem. The results for deterministic forecast data and load are analysed, and the optimal operation scheme is obtained by the improved multiobjective grey target decision-making method. The influence of renewable generation fluctuations ±10%, ±20%, and ±30% and the load fluctuations ±10% and ±20% on island microgrid operation optimization is discussed in detail, respectively. The relevant research results can provide a reference for formulating the operating scheme of the island microgrid.

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Multi-objective optimization for an integrated renewable, power-to-gas and solid oxide fuel cell/gas turbine hybrid system in microgrid

Abstract: for an integrated renewable, power-to-gas and solid oxide fuel cell/gas turbine hybrid system in microgrid',

Cited by 94 publications

References 41 publications

Eco-Emission Analysis of Multi-Carrier Microgrid Integrated with Compressed Air and Power-to-Gas Energy Storage Technologies

Eco-Emission Analysis of Multi-Carrier Microgrid Integrated with Compressed Air and Power-to-Gas Energy Storage Technologies

Research on Grid Connected Optimization Scheduling of Micro-grid Utilizing on Improved Bee Colony Method

Multiobjective Economic Optimal Dispatch for the Island Isolated Microgrid under Uncertainty Based on Interval Optimization

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