Research on benefit evaluation method of integrated energy system project based on combination weight

The development of micro-grid renewable energy system in China has achieved rapid growth in recent years, and the micro-grid renewable energy system has been drawing more and more attention by its flexible operation. Due to the randomness, fluctuation, uncertainty of the wind and photovoltaic renewable generation, abundant flexibility is required to meet the needs of safe, reliable and independent operation of the micro-grid energy system. We need to connect large energy systems to accept outside assistance when the micro-grid renewable energy system is short of adjustment capability. Independent operation and network operation will affect the economic benefit of the micro-grid energy system, so it is practically meaningful to study on the economic benefit evaluation of the micro-grid renewable energy system. This paper proposes a micro-grid energy system operation simulation model about wind and photovoltaic generation, the uncertainty of which is tackled based on the scenario generation and extraction techniques. Based on the proposed indices, the economic benefit could be evaluated by simulating the micro-grid energy system operation. The proposed method is validated by a real micro-grid energy system.

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Evaluation Method for Integrated Energy System Considering Demand Response

2019 IEEE 2nd International Conference on Electronic Information and Communication Technology (ICEICT) ◽

10.1109/iceict.2019.8846373 ◽

2019 ◽

Author(s):

Shanshan Shi ◽

Haojing Wang ◽

Chen Fang ◽

Ronghui Liu ◽

Yang Li ◽

...

Keyword(s):

Demand Response ◽

Evaluation Method ◽

Energy System ◽

Integrated Energy System

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Evaluation Index System and Evaluation Method of Integrated Energy System on User Side

10.1109/icpics52425.2021.9524235 ◽

2021 ◽

Author(s):

Muke Bai ◽

Xueshun Ye ◽

Tianyuan Kang

Keyword(s):

Index System ◽

Evaluation Method ◽

Energy System ◽

Evaluation Index System ◽

Evaluation Index ◽

Integrated Energy System

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A Rapid Monte Carlo Reliability Evaluation Method for Integrated Energy Systems Based on Transformer

Journal of Physics Conference Series ◽

10.1088/1742-6596/2087/1/012077 ◽

2021 ◽

Vol 2087 (1) ◽

pp. 012077

Author(s):

Yu Liu ◽

Jianfeng Li ◽

Tao Jiang ◽

Zixin Zhang ◽

Zhe Shi ◽

...

Keyword(s):

Machine Learning ◽

Monte Carlo ◽

Evaluation Method ◽

Energy Systems ◽

Energy System ◽

Reliability Evaluation ◽

Minimum Cut ◽

Estimation Model ◽

Integrated Energy Systems ◽

Integrated Energy System

Abstract In this paper, a Transformer-based fast Monte Carlo reliability evaluation method for integrated energy systems is proposed. First, the faults of the system components are sampled and the corresponding minimum cut load amounts are calculated to obtain the sample data for training the machine learning model. Then, Transformer is used as a machine learning algorithm for mining the nonlinear mapping relationship between system component faults and the minimum cut load, and the estimation model of the minimum cut load under different faults is trained. Finally, the model is combined with Monte Carlo simulation method to randomly sample component states, and for each state, the minimum cut load amount is directly given by the trained estimation model, thus realizing fast evaluation of integrated energy system fast reliability. The proposed method is applied to the integrated energy system test case, which verifies its effectiveness.

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