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Proceedings ArticleDOI

Optimization model of Multi-energy system based on multi-source energy storage

TLDR
In this paper, a multi-energy system based on multi-source energy storage (MESBMSES) is proposed, where the system is divided into three parts: the supply side, the energy conversion unit and the load side.
Abstract
Aiming at the problem of renewable energy fluctuations in the multi-energy system and the coordination of the energy output of electric, heating and gas, based on the supply characteristics of renewable energy and the storage characteristics of energy storage facilities, a multi-energy system optimized operation model based on multi-source energy storage is established. An optimization model for coordinating and balancing the volatility of renewable energy using heat and gas storage facilities has been established. First, a multi-energy system based on multi-source energy storage (MESBMSES) is proposed. The system is divided into three parts: the supply side, the energy conversion unit and the load side. Then, on this basis, a MESBMSES optimal scheduling model based on economic optimization was established. Finally, taking a region in Northeast China as an example, based on the output data of renewable energy, the storage of energy storage facilities is analyzed. The simulation results show that the energy input and output of energy storage facilities and the coordinated optimization model of renewable energy output proposed in this paper have good operating economy and large-scale utilization of renewable energy

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Citations
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Journal ArticleDOI

Power Balance Partition Control Based on Topology Characteristics of Multi-Source Energy Storage Nodes

TL;DR: In this paper , a power grid dynamic partition method based on the Markov energy field principle and a priori knowledge model is proposed for the power balance control of multi-source energy storage grid in the case of a high proportion of new energy grid connection.
References
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Journal ArticleDOI

Integrated Modeling and Assessment of the Operational Impact of Power-to-Gas (P2G) on Electrical and Gas Transmission Networks

TL;DR: In this article, the authors introduce an original methodology to analyze different power-to-gas (P2G) processes and assess their operational impacts on both electricity and gas transmission networks, using a novel integrated model specifically developed for the simulation of operational interdependences between the two networks considering P2G.
Journal ArticleDOI

Multi-objective optimal design of hybrid renewable energy systems using PSO-simulation based approach

TL;DR: In this article, a particle swarm optimization (PSO)-simulation based approach has been used to tackle the multi-objective optimization problem of hybrid renewable energy systems (HRES) including various generators and storage devices.
Journal ArticleDOI

Comparison on batch anaerobic digestion of five different livestock manures and prediction of biochemical methane potential (BMP) using different statistical models.

TL;DR: The effluents from the HM digesters showed highest nitrogen and phosphorus concentrations and digested SM showed highest potassium concentration, and the model including variables of TC and TF showed the best prediction for BMPs.
Journal ArticleDOI

Transmission-Constrained Unit Commitment Considering Combined Electricity and District Heating Networks

TL;DR: In this article, transmission-constrained unit commitment (UC) with combined electricity and district heating networks (UC-CEHN) is formulated with a linear DHN model to coordinate short-term operation of electric power and heating systems.
Journal ArticleDOI

Energy flow modeling and optimal operation analysis of the micro energy grid based on energy hub

TL;DR: In this paper, the coordinated operation and optimal dispatch strategies for multiple energy system are studied at the whole micro energy grid level, and a generic modeling method for the energy flow of micro energy flow is proposed.
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What are energy system optimization models'?

Energy system optimization models are mathematical models that aim to find the most efficient and cost-effective way to operate and manage energy systems.