Research Front and Trend Analysis of Hydrogen Based Integrated Energy System by CiteSpace

AbstractAs a key component of an integrated energy system (IES), energy storage can effectively alleviate the problem of the times between energy production and consumption. Exploiting the benefits of energy storage can improve the competitiveness of multi-energy systems. This paper proposes a method for day-ahead operation optimization of a building-level integrated energy system (BIES) considering additional potential benefits of energy storage. Based on the characteristics of peak-shaving and valley-filling of energy storage, and further consideration of the changes in the system’s load and real-time electricity price, a model of additional potential benefits of energy storage is developed. Aiming at the lowest total operating cost, a bi-level optimal operational model for day-ahead operation of BIES is developed. A case analysis of different dispatch strategies verifies that the addition of the proposed battery scheduling strategy improves economic operation. The results demonstrate that the model can exploit energy storage’s potential, further optimize the power output of BIES and reduce the economic cost.

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Multi-objective Optimal Operation of District Integrated Energy System

2020 IEEE Sustainable Power and Energy Conference (iSPEC) ◽

10.1109/ispec50848.2020.9350967 ◽

2020 ◽

Author(s):

Wenbiao Lu ◽

Qian Xiao ◽

Zhipeng Jiao ◽

Qian Jiang ◽

Yunfei Mu ◽

...

Keyword(s):

Energy System ◽

Optimal Operation ◽

Multi Objective ◽

Integrated Energy System

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Day-Ahead and Intra-Day Optimal Scheduling of Integrated Energy System Considering Uncertainty of Source & Load Power Forecasting

Energies ◽

10.3390/en14092539 ◽

2021 ◽

Vol 14 (9) ◽

pp. 2539

Author(s):

Zhengjie Li ◽

Zhisheng Zhang

Keyword(s):

Wind Power ◽

Demand Response ◽

Solar Power ◽

Load Forecasting ◽

Energy System ◽

Optimal Scheduling ◽

Scheduling Scheme ◽

Load Power ◽

Integrated Energy System ◽

Operation Cost

At present, due to the errors of wind power, solar power and various types of load forecasting, the optimal scheduling results of the integrated energy system (IES) will be inaccurate, which will affect the economic and reliable operation of the integrated energy system. In order to solve this problem, a day-ahead and intra-day optimal scheduling model of integrated energy system considering forecasting uncertainty is proposed in this paper, which takes the minimum operation cost of the system as the target, and different processing strategies are adopted for the model. In the day-ahead time scale, according to day-ahead load forecasting, an integrated demand response (IDR) strategy is formulated to adjust the load curve, and an optimal scheduling scheme is obtained. In the intra-day time scale, the predicted value of wind power, solar power and load power are represented by fuzzy parameters to participate in the optimal scheduling of the system, and the output of units is adjusted based on the day-ahead scheduling scheme according to the day-ahead forecasting results. The simulation of specific examples shows that the integrated demand response can effectively adjust the load demand and improve the economy and reliability of the system operation. At the same time, the operation cost of the system is related to the reliability of the accurate prediction of wind power, solar power and load power. Through this model, the optimal scheduling scheme can be determined under an acceptable prediction accuracy and confidence level.

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