Optimization of the Integrated Energy System with Energy Storage Considering Risk Operation

Lu, Haiqiang; Lu, Shuijin; Mo, Yujie

doi:10.1109/cieec47146.2019.cieec-2019564

Cited by 1 publication

(1 citation statement)

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“…There are also studies that take user factors into account in IES optimization scheduling modeling. Literature [12] focuses on analyzing the impact of user behavior and user satisfaction on the electric-gas coupling P2G-IES system and establishes a multi-objective optimization model.Literature [13] introduces user satisfaction for the thermal-electric-gas coupling IES and establishes a multi-objective optimization model that maximizes user satisfaction.Literature [14] focuses on the electric-gas-thermal coupling IES and considers the impact of user behavior on load, establishing an economic scheduling model.Literature [15]- [16] focuses on analyzing user heating behavior for the electric-thermal-gas coupling IES and establishes a dual-objective optimization model for the system.The above studies establish IES scheduling models taking into account user factors. On the one hand, they only consider user factors as a single constraint condition, and on the other hand, they only consider user load power as the only indicator of user satisfaction.…”

Section: Introductionmentioning

confidence: 99%

Modeling method for optimal scheduling of Park comprehensive energy source load storage and consumption considering customer portrait

Li,

Liao,

2024

E3S Web of Conf.

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Aiming at the problems of energy consumption optimization of park integrated energy source load storage system in power grid dispatching, a modeling method of park integrated energy consumption optimization dispatching considering user portrait is proposed. Firstly, an improved k-means portrait method is proposed for park users; Secondly, on the premise of considering the constraints of equipment operation in the park, cluster users in the park, and establish an energy consumption optimization scheduling model with the objective function of user satisfaction, net income of wind power consumption and equipment operation cost; Finally, SAPSO algorithm and fuzzy theory are used for decision-making. The example simulation shows that the proposed model is correct and effective, which is more precise and objective than the traditional model.

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