Analysis of Coordinated Operation of the Clean Energy System Based on the Multiobjective Optimization Model

With the increase in the proportion of clean energy connected to the grid, the effective coordination of the operation of various energy power has become a new challenge facing the current power system scheduling. The coordinated operation of the clean energy power generation system can alleviate the contradiction between power generation and output power fluctuations and overcome the bottleneck of new energy development. Considering the natural characteristics of clean energy, this paper aims to make full use of clean energy, reduce system operating costs, increase system power generation, and reduce output fluctuations; we establish a multiobjective optimization model for coordinated scheduling of clean energy power systems. The model seeks to maximize power generation and minimize output fluctuations, power purchase costs, and maintenance costs under the constraints of the grid structure. In this paper, the GA _ PSO joint algorithm has an accelerated effect on the target optimization calculation, and then the superiority of the GA _ PSO algorithm is verified by the I E E E 14 standard system. The standard IEEE39 node test system is used to verify the rationality and feasibility of the model built and provides a reference strategy for the coordinated operation mechanism of the clean energy system. According to the model, in the example in this paper, the maximum value of photovoltaic power prediction is 1290 MW, and the minimum value is 210 MW; the maximum value of wind power prediction is 780 MW, and the minimum value is 28 MW; the minimum cost of power purchase and maintenance is 56,950.395; the maximum generating capacity is 5.045 GW; the minimum output fluctuation is 0.120 GW.

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Thermodynamic Analysis of Hydrogen Combustion Turbine Cycles

Volume 2: Coal, Biomass and Alternative Fuels; Combustion and Fuels; Oil and Gas Applications; Cycle Innovations ◽

10.1115/2001-gt-0095 ◽

2001 ◽

Author(s):

Umberto Desideri ◽

Piergiacomo Ercolani ◽

Jinyue Yan

Keyword(s):

Power Generation ◽

Thermodynamic Analysis ◽

Clean Energy ◽

Energy System ◽

Combined Cycle ◽

World Energy ◽

Generation Cycle ◽

Set Up ◽

Power Generation Cycle ◽

Energy Network

The “International Clean Energy System Technology Utilizing Hydrogen (World Energy Network)”: WE-NET is a research program directed at the development of the technologies needed build a hydrogen-based energy conversion system. It proposes to set up a world energy network to convert renewable energy, such as hydropower and solar energy, into a secondary and transportable form to supply the demand centers, and to make possible the utilization of existing power generation, transportation, town gas, etc. Within the framework of this program Mitsubishi Heavy Industries, Hitachi and Westinghouse Power Corporation are working to develop an hydrogen-fueled combustion turbine system designed to meet the goals set by the WE-NET Program. The hydrogen–fueled power generation cycle will be able to satisfy the requirements of an efficiency based on the lower heating value higher than 70% and of reliability, availability and maintainability equivalent to current base-loaded natural gas-fired combined cycle. The use of hydrogen will eliminate emissions of CO2 and SOx and significantly reduce those of NOx. This paper presents a thermodynamic analysis of some concepts of hydrogen fuelled cycles which have been studied in the WE-NET program and makes a comparison of their performance.

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Research on Taxi Pricing Model and Optimization for Carpooling Detour Problem

Journal of Advanced Transportation ◽

10.1155/2019/3867874 ◽

2019 ◽

Vol 2019 ◽

pp. 1-11 ◽

Cited By ~ 2

Author(s):

Wei Zhang ◽

Ruichun He ◽

Yong Chen ◽

Mingxia Gao ◽

Changxi Ma

Keyword(s):

Genetic Algorithm ◽

Multiobjective Optimization ◽

Optimization Model ◽

Travel Distance ◽

Important Influence ◽

Pricing Model ◽

Fair Pricing ◽

Maximum Value ◽

Pricing Scheme

This paper builds a multiobjective optimization model for solving the taxi carpooling with detour problem and designs a genetic algorithm to determine a fair pricing scheme for riders and drivers. The researches show that it is feasible to share a taxi with detour. It is the key to determine appropriate carpooling payment ratio and detour carpooling payment ratio. The ratio of detour distance to travel distance has an important influence on detour carpooling. It should be limited to less than certain values. Payment ratios and the maximum value of the ratio of detour distance to travel distance are determined by the method proposed in this paper. The method can ensure benefits of passengers and drivers, which makes detour carpooling a reality. These conclusions and the method have a certain guiding significance for formulating taxi policy.

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Power Generation System by Vehicle on the Downhill of Expressway

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.724-725.1361 ◽

2013 ◽

Vol 724-725 ◽

pp. 1361-1365

Author(s):

Xian Tao Zeng ◽

Qian Hua Ren

Keyword(s):

Power Generation ◽

Clean Energy ◽

Energy System ◽

Road Surface ◽

Generation System ◽

The Road ◽

Control Power ◽

Power Generation System ◽

Magnetic Poles ◽

And Storage

In this paper, a method of magnetoelectricity power generation system for vehicle on the downhill of expressways is proposed. This system is a clean energy system that can be reused. Its structure includes car magnetic poles, magnetic poles imbedded in road surface, closed circuit imbedded in road surface, rectifier, inverter and storage battery. Multi-unit magnetic poles and closed circuits imbedded in the road surface are used in this invention, so when the car poles move with the running down of cars on downhill, magnetic flow in closed circuits will change to produce a technique of group control power generation. From the simulated system in the test, it can be seen that it is efficient and effective in generating power.

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Optimal Planning of Integrated Energy Systems Based on Coupled CCHP

Energies ◽

10.3390/en11102621 ◽

2018 ◽

Vol 11 (10) ◽

pp. 2621 ◽

Cited By ~ 6

Author(s):

Xiaofeng Dong ◽

Chao Quan ◽

Tong Jiang

Keyword(s):

Power Generation ◽

Energy Use ◽

Clean Energy ◽

Energy System ◽

Power Lines ◽

Gas Pipelines ◽

Integrated Energy Systems ◽

Integrated Energy System ◽

Gas Price ◽

Combined Cooling

With the widespread attention on clean energy use and energy efficiency, the integrated energy system (IES) has received considerable research and development. This paper proposed an electricity-gas IES optimization planning model based on a coupled combined cooling heating and power system (CCHP). The planning and operation of power lines and gas pipelines are considered. Regarding CCHP as the coupled hub of an electricity-gas system, the proposed model minimizes total cost in IES, with multistage planning and multi-scene analyzing. Renewable energy generation is also considered, including wind power generation and photovoltaic power generation. The numerical results reveal the replacing and adding schemes of power lines and gas pipelines, the optimal location and capacity of CCHP. In comparison with conventional separation production (SP), the optimization model which regards CCHP as the coupled hub attains better economy. At the same time, the influence of electricity price and natural gas price on the quantities of purchasing electricity and purchasing gas in the CCHP system is analyzed. According to the simulation result, a benchmark gas price is proposed, which shows whether the CCHP system chooses power generation. The model results and discussion demonstrate the validity of the model.

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Efficient use of the Generators for the Environmental Economic Dispatch from the energy system, including solar photovoltaic generation

International Journal for Innovation Education and Research ◽

10.31686/ijier.vol9.iss7.3211 ◽

2021 ◽

Vol 9 (7) ◽

pp. 9-34

Author(s):

Eliton Smith dos Santos ◽

Marcus Vinícius Alves Nunes ◽

Jorge de Almeida Brito Júnior ◽

Manoel Henrique Reis Nascimento ◽

Jandecy Cabral Leite ◽

...

Keyword(s):

Power Generation ◽

Environmental Economic ◽

Environmental Sustainability ◽

Economic Dispatch ◽

Clean Energy ◽

Energy System ◽

Green Energy ◽

Electrical Network ◽

Environmental Costs ◽

Electricity Grid

The classic Economic Dispatch (ED) problem considers only the cost of power generation by thermal generators, often disregarding the safety parameters of the electrical network, environmental costs and especially the importance of predictive maintenance of the generators, when considering environmental costs in the optimization of ED this becomes a multi-objective problem Environmental Economic Dispatch (EED). Considering the global pressure to reduce emissions of pollutants in the atmosphere and environmental sustainability, incorporating the generation of Renewable Energies (RE) or Green Energy in the electricity grid is indispensable. Solar energy is becoming an important part of the power generation portfolio in many regions due to the fast decline in its costs and political incentives that favor the generation of clean energy sources. This article uses the Ant Lion Optimizer (ALO) method to solve the problem and EED restricted to the grid in a hybrid system (thermoelectric and photovoltaic). The results of the optimization problem were simulated in MATLAB. This research included 01 thermoelectric with 06 generators and 13 solar plants.

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Balancing a High-Renewables Electric Grid With Hydrogen-Fuelled Combined Cycles: A Country Scale Analysis

Volume 6: Education; Electric Power ◽

10.1115/gt2020-15570 ◽

2020 ◽

Author(s):

Paolo Colbertaldo ◽

Giulio Guandalini ◽

Elena Crespi ◽

Stefano Campanari

Keyword(s):

Power Generation ◽

Energy Storage ◽

Fuel Cell ◽

Natural Gas ◽

Large Scale ◽

Clean Energy ◽

Energy System ◽

Electric Grid ◽

Combined Cycles

Abstract A key approach to large renewable energy sources (RES) power management is based on implementing storage technologies, including batteries, power-to-hydrogen (P2H), pumped-hydro, and compressed air energy storage. Power-to-hydrogen presents specific advantages in terms of suitability for large-scale and long-term energy storage as well as capability to decarbonize a wide range of end-use sectors, e.g., including both power generation and mobility. This work applies a multi-nodal model for the hourly simulation of the energy system at a nation scale, integrating the power, transport, and natural gas sectors. Three main infrastructures are considered: (i) the power grid, characterized by instantaneous supply-demand balance and featuring a variety of storage options; (ii) the natural gas network, which can host a variable hydrogen content, supplying NG-H2 blends to the final consumers; (iii) the hydrogen production, storage, and re-electrification facilities. The aim of the work is to assess the role that can be played by gas turbine-based combined cycles in the future high-RES electric grid. Combined cycles (GTCCs) would exploit hydrogen generated by P2H implementation at large scale, transported through the natural gas infrastructure at increasingly admixed fractions, thus closing the power-to-power (P2P) conversion of excess renewables and becoming a strategic asset for future grid balancing applications. A long-term scenario of the Italian energy system is analyzed, involving a massive increase of intermittent RES power generation capacity and a significant introduction of low-emission vehicles based on electric drivetrains (pure-battery or fuel-cell). The analysis highlights the role of hydrogen as clean energy vector, not only for specific use in new applications like fuel cell vehicles and stationary fuel cells, but also for substitution of fossil fuels in conventional combustion devices. The study also explores the option of repowering the combined cycles at current sites and evaluates the effect of inter-zonal limits on power and hydrogen exchange. Moreover, results include the evaluation of the required hydrogen storage size, distributed at regional scale or in correspondence of the power plant sites. Results show that when extra hydrogen generated by P2H is fed to GTCCs, up to 17–24% H2 use is achieved, reaching up to 70–100% in southern regions, with a parallel reduction in fossil NG input and CO2 emissions of the GTCC plants.

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A Study of Photovoltaic Power Prediction

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.733.203 ◽

2015 ◽

Vol 733 ◽

pp. 203-206 ◽

Cited By ~ 1

Author(s):

Yan Long Li ◽

Jing Xu ◽

Chong Yuan

Keyword(s):

Power Generation ◽

Clean Energy ◽

Energy Development ◽

Stable Operation ◽

Solar Photovoltaic ◽

Generation System ◽

Power Prediction ◽

Photovoltaic Power ◽

Power Generation System ◽

System Power

Solar photovoltaic power generation as an inexhaustible, inexhaustible clean energy has become the focus of future energy development. Along with photovoltaic power generation incorporated into the power grid, in order to make power generation plan reasonably, ensure the stable operation of power system, need to forecast the photovoltaic power output. In this paper solar photovoltaic power generation forecasting methods are analyzed and summarized. According to the application of solar photovoltaic power generation and demand, mainly on photovoltaic power generation system power prediction research method has carried on the comprehensive elaboration, hoping for the researches play an important role in promoting and advancing the development of solar photovoltaic prediction methods.

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Study On the Potentiality of Power Generation from Exhaust Air Energy Recovery Wind Turbine: A Review

Journal of Advanced Research in Fluid Mechanics and Thermal Sciences ◽

10.37934/arfmts.87.3.148171 ◽

2021 ◽

Vol 87 (3) ◽

pp. 148-171

Author(s):

Ainaa Maya Munira Ismail ◽

Zurriati Mohd Ali ◽

Kamariah Md Isa ◽

Mohammad Abdullah ◽

Fazila Mohd Zawawi

Keyword(s):

Power Generation ◽

Wind Energy ◽

Wind Turbine ◽

Wind Turbines ◽

Energy Recovery ◽

Clean Energy ◽

Energy System ◽

Electricity Production ◽

Low Carbon ◽

Renewable Energy Resources

Presently the worldwide lockdown from Covid-19 give a huge effect on different sectors across the board, notably on energy consumption. Lockdowns have fuelled the intensification of low-carbon resources in terms of electricity production, yet a drastic upswing in electricity use in residential districts during the pandemic. By exploring economic renewable energy resources, the world is trying to overcome the crisis and one of them is wind energy, where this sustainable energy system is highly demanded, thus reducing global CO2 emissions. Researchers have carried out several findings on wind energy obtained from wind turbines at various potential locations, but most of it used natural sources as a wind stream. Therefore, a revolutionary concept on extracting clean energy from manufactured wind resources with wind turbine system for power generation is introduced in recent studies. The main goal of this review paper is to emphasize the performances of power generation through Exhaust Air Energy Recovery Wind Turbine. The potentiality of wind extractions is reviewed to achieve the clear overview of this new progressive ideas and the important configurations is accentuated. Most findings indicated that this energy recovery device converts wasted energy to a more profitable form by converting it to electricity, resulting in a rapid return on investment. Moreover, the enclosing the output area of wind turbines for recovering energy enhances overall efficiency.

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