A Fuzzy Evacuation Management Model Oriented Toward the Mitigation of Emissions

Tan, Qian

doi:10.3808/jei.201400272

Cited by 29 publications

(8 citation statements)

References 35 publications

(43 reference statements)

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“…The work in [22] introduces a mixed integer linear programming framework to establish the production schedule. In [23], the system efficiency, environmental protection, economic cost and resource availability are considered in the optimization objectives.…”

Section: Introductionmentioning

confidence: 99%

Operation Modeling of Power Systems Integrated with Large-Scale New Energy Power Sources

et al. 2016

Energies

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Abstract:In the most current methods of probabilistic power system production simulation, the output characteristics of new energy power generation (NEPG) has not been comprehensively considered. In this paper, the power output characteristics of wind power generation and photovoltaic power generation are firstly analyzed based on statistical methods according to their historical operating data. Then the characteristic indexes and the filtering principle of the NEPG historical output scenarios are introduced with the confidence level, and the calculation model of NEPG's credible capacity is proposed. Based on this, taking the minimum production costs or the best energy-saving and emission-reduction effect as the optimization objective, the power system operation model with large-scale integration of new energy power generation (NEPG) is established considering the power balance, the electricity balance and the peak balance. Besides, the constraints of the operating characteristics of different power generation types, the maintenance schedule, the load reservation, the emergency reservation, the water abandonment and the transmitting capacity between different areas are also considered. With the proposed power system operation model, the operation simulations are carried out based on the actual Northwest power grid of China, which resolves the new energy power accommodations considering different system operating conditions. The simulation results well verify the validity of the proposed power system operation model in the accommodation analysis for the power system which is penetrated with large scale NEPG.

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Section: Introductionmentioning

confidence: 99%

Operation Modeling of Power Systems Integrated with Large-Scale New Energy Power Sources

et al. 2016

Energies

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“…This is especially true for offshore operations where resources such as power supply, available space, and man power are usually limited. Contrastingly, process control is generally achieved by careful and accurate control and monitoring of the process parameters affecting the quality of the products (Cheng et al, 2002;Phattaranawik and Leiknes, 2011;Tan et al, 2015). It is defined as an engineering discipline that deals with mechanisms and algorithms for maintaining the output of a specific engineering process within a desired range.…”

Section: Introductionmentioning

confidence: 99%

An Integrated Simulation-based Process Control and Operation Planning (IS-PCOP) System for Marine Oily Wastewater Management

Jing¹,

Chen²,

Zhang³

et al. 2016

J ENVIRON INFORM

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ABSTRACT. An ideal combination of process control and operation planning can reduce system cost and maximize economic and environmental benefits. This research proposed an integrated simulation-based process control and operation planning (IS-PCOP) system by using neural networks, genetic algorithm, multistage principle, and Monte Carlo simulation. It could well link process control and operation planning by simultaneously adopting different time-scales in computation. The hourly process control strategy forwarded the results to the operation planning module where long-term arrangements could be further evaluated. The use of ANN modeling also played a key role in predicting the nonlinear behavior of complex processes. In addition, Monte Carlo simulation yielded a better insight on uncertainties, which may arise from a number of different sources. A case study on marine wastewater management was carried out to demonstrate the efficacy of the proposed approach. Six different treatment standards (i.e., 5, 10, 15, 20, 25, and 30 μg L −1 ) were examined over a 20-day period and the 20 μg L −1 standard appeared to be the most economic option with a mean net cost of $18 per day. As compared to the traditional operation planning without process control, the integrated approach achieved more economically competitive results. By addressing the uncertainties and expressing the results in probability distributions, the decision makers would have more confidence in making decisions on both short-and long-term operations. It was concluded that the combination of process control and operation planning could help meet the economic objectives and ensure timely completion of the tasks.

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“…In recent years, environmental challenges such as global warming, air and water pollution and acid rains have meant that organizations need to reconsider their environmental management. Tan et al examined global climate change and energy consumption and proposed a fuzzy evacuation management model oriented toward emissions mitigation [11] and Shen et al investigated the effect of rainfall measurement errors on nonpoint-source pollution model uncertainty [12].…”

Section: Introductionmentioning

confidence: 99%

Low-Carbon Based Multi-Objective Bi-Level Power Dispatching under Uncertainty

et al. 2016

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This research examines a low-carbon power dispatch problem under uncertainty. A hybrid uncertain multi-objective bi-level model with one leader and multiple followers is established to support the decision making of power dispatch and generation. The upper level decision maker is the regional power grid corporation which allocates power quotas to each follower based on the objectives of reasonable returns, a small power surplus and low carbon emissions. The lower level decision makers are the power generation groups which decide on their respective power generation plans and prices to ensure the highest total revenue under consideration of government subsidies, environmental costs and the carbon trading. Random and fuzzy variables are adopted to describe the uncertain factors and chance constrained and expected value programming are used to handle the hybrid uncertain model. The bi-level models are then transformed into solvable single level models using a satisfaction method. Finally, a detailed case study and comparative analyses are presented to test the proposed models and approaches to validate the effectiveness and illustrate the advantages.

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A Fuzzy Evacuation Management Model Oriented Toward the Mitigation of Emissions

Cited by 29 publications

References 35 publications

Operation Modeling of Power Systems Integrated with Large-Scale New Energy Power Sources

Operation Modeling of Power Systems Integrated with Large-Scale New Energy Power Sources

An Integrated Simulation-based Process Control and Operation Planning (IS-PCOP) System for Marine Oily Wastewater Management

Low-Carbon Based Multi-Objective Bi-Level Power Dispatching under Uncertainty

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