Optimal planning method of multi-energy storage systems based on the power response analysis in the integrated energy system-Reference-Cited by-同舟云学术

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Optimal planning method of multi-energy storage systems based on the power response analysis in the integrated energy system

Published:2023-12 Issue: Volume:73 Page:109015
ISSN:2352-152X
Container-title:Journal of Energy Storage
language:en
Short-container-title:Journal of Energy Storage

Author:

Gao Mingfei,Han Zhonghe,Zhao Bin,Li Peng,Wu Di,Li Peng

Funder

Natural Science Foundation of Hebei Province

Science and Technology Project of State Grid

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment

Reference42 articles.

1. Hybrid energy sharing considering network cost for prosumers in integrated energy systems;Li;Appl. Energy,2022

2. Distributionally robust day-ahead scheduling of park-level integrated energy system considering generalized energy storages;Chen;Appl. Energy,2021

3. Hydrogen energy storage integrated battery and supercapacitor based hybrid power system: A statistical analysis towards future research directions;Hannan;Int. J. Hydrogen Energy,2022

4. Thermal energy storage for industrial thermal loads and electricity demand side management;Cirocco;Energ. Conver. Manage.,2022

5. Benefit analysis and preliminary decision-making of electrical and thermal energy storage in the regional integrated energy system;Fan;J. Energy Storage,2022

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1. Multi-layer game theory based operation optimisation of ICES considering improved independent market participant models and dedicated distributed algorithms;Applied Energy;2024-11

2. Two-stage dispatching strategy for park-level integrated energy systems based on a master-slave-cooperative hybrid game model;Renewable Energy;2024-10

3. Capacity expansion model for multi-temporal energy storage in renewable energy base considering various transmission utilization rates;Journal of Energy Storage;2024-09

4. Bi-level programming optimization method of rural integrated energy system based on coupling coordination degree of energy equipment;Energy;2024-07

5. An Optimal Planning of Energy Storage System in Radial Distribution Network Using Aquila Optimization Algorithm;2024 Second International Conference on Data Science and Information System (ICDSIS);2024-05-17

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