Proceedings ArticleDOI
Cooperative optimal scheduling of multi energy system considering flexible load
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TLDR
In this paper, a regional multi-energy cooperative optimal scheduling method is proposed, which considers user side flexible load and incentive mechanism to solve the problem that demand side parameters have high schedulable potential but insufficient response capability.Abstract:
to solve the problem that demand side parameters have high schedulable potential but insufficient response capability. In this paper, a regional multi energy cooperative optimal scheduling method is proposed, which considers user side flexible load and incentive mechanism. Secondly, a mathematical model is set up with the objective of user's active participation in scheduling, and the model is divided into two parts, namely, user's active participation in scheduling, user's active participation in scheduling, and user's active participation in scheduling. The simulation results show that the electricity, heat and gas coupling scheduling and flexible electricity, heat and gas load incentive mechanism can significantly reduce the operation cost of multi energy system and meet the demand of peak load cutting and valley filling.read more
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Book ChapterDOI
Schedulable Potential Aggregation Model and LSTM-Based Time-Series Prediction Method of Flexible Load
TL;DR: In this article , the behavioral characteristics of three typical flexible loads are modeled first, and then, in order to aggregate the typical flexible load models, a load schedulable potential aggregation model based on Minkowski sum is established.
References
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Journal ArticleDOI
Real-Time Scheduling of Residential Appliances via Conditional Risk-at-Value
TL;DR: Simulation results show that the proposed DR mechanism can decrease the cost of the household considerably, and the proposed real-time scheduling algorithm can optimize the operation of appliances close to the ideal deterministic results, even when the gap between the forecast electricity price and the real price is large.
Journal ArticleDOI
An Effective Model for Demand Response Management Systems of Residential Electricity Consumers
TL;DR: An effective demand response (DR) model framework for DR management systems in a residential premise that consists of dynamic price signals from load serving entity (LSE), benefit function, and loss of consumer comfort is proposed.
Journal Article
A Time-of-Use Pricing Based Control Scheme for Intelligent Household Appliances
TL;DR: In this article, a time-of-use (TOU) pricing based control scheme for intelligent household appliances is proposed to decrease the peak-valley difference and improve load curve in residential area by demand response (DR) technology, a fuzzified processing for the information of TOU price which based on the time intervals is performed to achieve the price priority, in accordance with such DR events as the maximum restricted load of DR, the time of DR and the duration of interruptible load and so on.