Flexibility Management with Virtual Batteries of Thermostatically Controlled Loads: Real-Time Control System and Potential in Spain
نویسندگان
چکیده
Load flexibility management is a promising approach to face the problem of balancing generation and demand in electrical grids. This becoming increasingly difficult due variability renewable energies. Thermostatically-controlled loads can be aggregated managed by virtual battery, they provide cost-effective efficient alternative physical storage systems mitigate inherent energy sources. However batteries require that an accurate control system capable tracking frequency regulation signals with minimal error. A real-time allowing accurately track or power developed. The performance this controller validated for battery composed 1000 thermostatically-controlled loads. Using equipped developed controller, study focused on residential Spain performed. results quantify potential technology country different climate areas provides insight about feasibility as enablers high levels penetration
منابع مشابه
Modeling and Control of Thermostatically Controlled Loads
As the penetration of intermittent energy sources grows substantially, loads will be required to play an increasingly important role in compensating the fast timescale fluctuations in generated power. Recent numerical modeling of thermostatically controlled loads (TCLs) has demonstrated that such load following is feasible, but analytical models that satisfactorily quantify the aggregate power ...
متن کاملEfficient Desynchronization of Thermostatically Controlled Loads
This paper considers demand side management in smart power grid systems containing significant numbers of thermostatically controlled loads such as air conditioning systems, heat pumps, etc. Recent studies have shown that the overall power consumption of such systems can be regulated up and down centrally by broadcasting small setpoint change commands without significantly impacting consumer co...
متن کاملLearning to Shift Thermostatically Controlled Loads
Demand response is a key mechanism for accommodating renewable power in the electric grid. Models of loads in demand response programs are typically assumed to be known a priori, leaving the load aggregator the task of choosing the best command. However, accurate load models are often hard to obtain. To address this problem, we propose an online learning algorithm that performs demand response ...
متن کاملFormal Synthesis and Validation of Inhomogeneous Thermostatically Controlled Loads
This work discusses the construction of a finite-space stochastic dynamical model as the aggregation of the continuous temperature dynamics of an inhomogeneous population of thermostatically controlled loads (TCLs). The temperature dynamics of a TCL is characterized by a differential equation in which the TCL status (ON, OFF) is controlled by a thresholding mechanism, and which displays inhomog...
متن کاملBest-Response Planning of Thermostatically Controlled Loads under Power Constraints
Renewable power sources such as wind and solar are inflexible in their energy production, which requires demand to rapidly follow supply to maintain an energy balance. Promising controllable demands are heat buffers that use electricity to maintain a temperature at a setpoint. Such Thermostatically Controlled Loads (TCLs) have been shown to be able to follow a power curve using reactive control...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Energies
سال: 2021
ISSN: ['1996-1073']
DOI: https://doi.org/10.3390/en14061711