Chance-constrained bi-level optimal dispatching model and benefit allocation strategy for off-grid microgrid considering bilateral uncertainty of supply and demand

Yang, Shenbo; Lin, Hui; Ju, Liu; Ma, Jie

doi:10.1016/j.ijepes.2022.108719

Cited by 9 publications

(4 citation statements)

References 15 publications

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“…The purpose of this study is to develop an economic mathematical optimization model. When operating a system, it is important to take into account the cost of the integrated energy system, which primarily consists of the cost of purchasing municipal electricity, the cost of purchasing gas, and the income from subsidies provided by local policies for new energy power generation projects [6,7,11,12]. Based on the best possible economy, the cooling and heating seasons' objective functions are as follows:…”

Section: Fig1 Model Diagram Of Integrated Energy Systemmentioning

confidence: 99%

Research on operation strategy of integrated energy system based on flexible energy of buildings

Chen,

Yu,

Zhuang

et al. 2023

Ninth International Conference on Mechanical Engineering, Materials, and Automation Technology (MMEAT 2023)

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An integrated energy system for regional buildings was proposed in this paper using a city in northern China as an example. A mathematical model was created to simulate various flexible loads during the cooling and heating seasons of buildings. The model's flexible energy use was then optimized with the goal of obtaining the best operation strategy for the building integrated energy system. To put it another way, in a variety of energy supply systems, the flexible energy load that must be met by the integrated energy system shall be satisfied first, and the total energy consumption (cold, heat, and electricity) is equal to the flexible energy consumption of the regional buildings at that time. When the integrated energy system's energy consumption is the goal of operation optimization, clean energy utilization rates should be higher during periods of high load demand and peak electricity price demand. At the same time, the cooling and heating capacity of the cogeneration system will be greater than the corresponding load demand in order to partially meet peak electricity price demand. At this point, the corresponding energy storage apparatus ought to be offered concurrently.

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Section: Fig1 Model Diagram Of Integrated Energy Systemmentioning

confidence: 99%

Research on operation strategy of integrated energy system based on flexible energy of buildings

Chen,

Yu,

Zhuang

et al. 2023

Ninth International Conference on Mechanical Engineering, Materials, and Automation Technology (MMEAT 2023)

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“…However, currently China's electricity supply is relatively tight, so it is necessary to study the characteristics of electricity load fluctuations, which has important guiding significance for China's economic development and power energy development 1 . Mastering the load characteristics of regional buildings is the foundation for optimizing electricity load regulation in the future, and has practical significance in alleviating the contradiction between power supply and demand, reducing excessive investment in basic design, and so on 2 .…”

Section: Introductionmentioning

confidence: 99%

Experimental study on electrical load of single building based on time-frequency domain coupling characteristics

Zhai,

Tian,

Zhu

et al. 2024

Ninth International Conference on Energy Materials and Electrical Engineering (ICEMEE 2023)

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The electrical load characteristics of office, shopping mall, and hotel buildings in different seasons were experimental studied in this article by using daily load characteristics indicators firstly. Then, the annual load curves and characteristic indicators of various types of buildings were also analyzed and compared. The results showed that the load rate of shopping malls is around 0.52, while the load rate of office buildings is approximately 0.61~0.73. So from the perspective of time domain indicators, the volatility of shopping malls is slightly higher than that of office buildings. The peak to valley ratio of shopping mall buildings reaches 0.88 or above, while that of office buildings ranges from 0.51 to 0.76. The weekly imbalance coefficient of the hotel building this week is 0.93, and there is a small difference in the maximum electrical load between the working and rest days of the hotel building. It can also be seen there is a small difference in the maximum load between the working and rest days.

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“…In [27], a two-stage distributed robust economic scheduling model was proposed for a comprehensive electricity heat gas microgrid to reduce power curtailment caused by the inherent intermittency and uncertainty of wind power and improve wind power utilization efficiency. In [28], a two-layer optimal scheduling model was constructed with opportunity constraints to promote the linkage of demand supply and improve the satisfaction of cooperative alliances. In [29], a distributed timing secondary control strategy was proposed to realize average voltage recovery and economic scheduling on the same time scale.…”

Section: Introductionmentioning

confidence: 99%

Economic dispatch of multi-microgrids considering flexible load based on distributed consensus algorithm

Wu,

Li,

et al. 2024

Preprint

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This paper investigates the economic dispatch (ED) problem of multi-microgrids considering the flexible loads based on distributed consensus algorithm. Firstly, the structure topology diagram of distributed generator nodes is designed based on the global interconnection of multi-microgrids, then the flexible load is considered as adjustable load and be added into the fixed loads. Next, a multi-microgrids economic dispatch (MMED) model which contained fixed and flexible loads is constructed with the goal of minimizes the operating cost of the entire system. The proposed MMED model is a two-layer coordinated optimization model. The power transmission cost between each microgrid is used as the multi-microgrids layer framework, and the internal operating costs of a single microgrid is the sub-microgrid layer framework. The distributed consensus algorithm is designed to solve the MMED problem with the considering of constraint condition of distributed generators in each microgrid. Finally, some examples illustrate that the proposed method can not only optimize the operation of each single microgrid, but also maintains the stability of multi-microgrids through the adjustment of flexible load, and reduces the total operating cost of the whole multi-microgrids system.

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Chance-constrained bi-level optimal dispatching model and benefit allocation strategy for off-grid microgrid considering bilateral uncertainty of supply and demand

Cited by 9 publications

References 15 publications

Research on operation strategy of integrated energy system based on flexible energy of buildings

Research on operation strategy of integrated energy system based on flexible energy of buildings

Experimental study on electrical load of single building based on time-frequency domain coupling characteristics

Economic dispatch of multi-microgrids considering flexible load based on distributed consensus algorithm

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