A Combined Cycle Gas Turbine Model for Heat and Power Dispatch Subject to Grid Constraints

Rigo‐Mariani, Rémy; Zhang, Chuan; Romagnoli, Alessandro; Kraft, Markus; Ling, Keck Voon; Maciejowski, Jan M.

doi:10.1109/tste.2019.2894793

Cited by 23 publications

(11 citation statements)

References 22 publications

(32 reference statements)

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“…where Z min com and Z max com are the lower and upper limits of the compression ratio of the compressor, min n and max n are the lower and upper limits of natural gas pressure at node n. (3) Thermal Network Model The thermal network model mainly includes the hydraulic model and thermodynamic model [26]. The hydraulic model is described by Eq.…”

Section: Ies Modelmentioning

confidence: 99%

Low Carbon Economic Dispatch of Integrated Energy System Considering Power Supply Reliability and Integrated Demand Response

Dong¹,

Wang²,

Yang³

et al. 2022

Computer Modeling in Engineering &Amp; Sciences

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Integrated energy system optimization scheduling can improve energy efficiency and low carbon economy. This paper studies an electric-gas-heat integrated energy system, including the carbon capture system, energy coupling equipment, and renewable energy. An energy scheduling strategy based on deep reinforcement learning is proposed to minimize operation cost, carbon emission and enhance the power supply reliability. Firstly, the lowcarbon mathematical model of combined thermal and power unit, carbon capture system and power to gas unit (CCP) is established. Subsequently, we establish a low carbon multi-objective optimization model considering system operation cost, carbon emissions cost, integrated demand response, wind and photovoltaic curtailment, and load shedding costs. Furthermore, considering the intermittency of wind power generation and the flexibility of load demand, the low carbon economic dispatch problem is modeled as a Markov decision process. The twin delayed deep deterministic policy gradient (TD3) algorithm is used to solve the complex scheduling problem. The effectiveness of the proposed method is verified in the simulation case studies. Compared with TD3, SAC, A3C, DDPG and DQN algorithms, the operating cost is reduced by 8.6%, 4.3%, 6.1% and 8.0%.

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Section: Ies Modelmentioning

confidence: 99%

Low Carbon Economic Dispatch of Integrated Energy System Considering Power Supply Reliability and Integrated Demand Response

Dong¹,

Wang²,

Yang³

et al. 2022

Computer Modeling in Engineering &Amp; Sciences

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show abstract

“…Through the combination of the aforementioned types of agents, J-Park Simulator can automatically formulate solutions for different energy system related problems, such as optimal economic dispatch of power flow 169 , industrial symbiosis network optimisation 163 and waste energy utilisation 25 . It is shown that by optimising the power and heat cogeneration system on Jurong Island Singapore, the annual power generation can be reduced from 19 TWh to 12 TWh, a reduction of 63% 169 .…”

Section: Raw Datamentioning

confidence: 99%

“…For the proposed integrated energy management tool -J-Park Simulator -previous studies have shown that by optimizing the power and heat cogeneration system on Jurong Island Singapore, the annual power generation can be reduced from 19TWh to 12TWh providing a staggering reduction of 63% 169 . Using Singapore's power emission intensity and electricity price (i.e.…”

Section: Power System Optimizationmentioning

confidence: 99%

“…EV charging will be responsible for 6% of global electricity demand and coordinated charging could reduce demand by 40% consequently reducing electricity demand globally by 2.4% 137 . CPS-based integrated energy management can reduce energy use of industrial complexes by 63% and thereby increase CO2 emission abatement potential by this factor 169 . A full overview over the data utilised to establish new new MACC curve (centre of Figure 17) including references to the original literature can be found in the supporting information.…”

Section: Impact On the Marginal Abatement Cost Curvementioning

confidence: 99%

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The impact of intelligent cyber-physical systems on the decarbonization of energy

Inderwildi

Zhang

Wang

et al. 2020

Energy Environ. Sci.

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126

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“…Semantic Web technologies have been used to improve collaboration between different disciplines. One recent example is the J-Park Simulator (JPS) project in which models from different domains, for example chemical engineering and electrical engineering, have been connected to study the impact of chemical plants on the electrical network in an industrial park. , We propose that Semantic Web technologies are also good candidates to be used in building web services that should make quantum chemistry calculations easily available to other software tools for further processing. Web Ontology Languages (OWL) are suitable for modeling knowledge about quantum chemistry calculations.…”

Section: Introductionmentioning

confidence: 99%

An Ontology and Semantic Web Service for Quantum Chemistry Calculations

Krdžavac

Mosbach

Nurkowski

et al. 2019

J. Chem. Inf. Model.

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The purpose of this article is to present an ontology, termed OntoCompChem, for quantum chemistry calculations as performed by the Gaussian quantum chemistry software, as well as a semantic web service named MolHub. The OntoCom-pChem ontology has been developed based on the semantics of concepts specified in the CompChem convention of Chemical Markup Language (CML) and by extending the Gainesville Core (GNVC) ontology. MolHub is developed in order to establish semantic interoperability between different tools used in quantum chemistry and thermochemistry calculations, and as such is integrated into the J-Park Simulator (JPS)-a multi-domain interactive simulation platform and expert system. It uses the OntoCompChem ontology and implements a formal language based on propositional logic as a part of its query engine, which verifies satisfiability through reasoning. This paper also presents a NASA polynomial use-case scenario to demonstrate semantic interoperability between Gaussian and a tool for thermodynamic data calculations within MolHub.

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A Combined Cycle Gas Turbine Model for Heat and Power Dispatch Subject to Grid Constraints

Cited by 23 publications

References 22 publications

Low Carbon Economic Dispatch of Integrated Energy System Considering Power Supply Reliability and Integrated Demand Response

Low Carbon Economic Dispatch of Integrated Energy System Considering Power Supply Reliability and Integrated Demand Response

The impact of intelligent cyber-physical systems on the decarbonization of energy

An Ontology and Semantic Web Service for Quantum Chemistry Calculations

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