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Control for large scale demand response of thermostatic loads [PDF]
Demand response is an important Smart Grid concept that aims at facilitating the integration of volatile energy resources into the electricity grid. This paper considers a residential demand response scenario and specifically looks into the problem of managing a large number thermostat-based appliances with on/off operation.
Luminita Cristiana Totu +2 more
openaire +1 more source
Controllability and stability of primary frequency control from thermostatic loads with delays
There is an increasing interest in exploiting the flexibility of loads to provide ancillary services to the grid. In this paper we study how response delays and lockout constraints affect the controllability of an aggregation of refrigerators offering ...
Charalampos Ziras +2 more
doaj +1 more source
Due to the transmission demand for massive demand-side data, the pressure on communication networks has doubled and redoubled, leading to communication delays, congestion, interruptions, and other problems, which impact the real-time interaction of ...
QUAN Chao +6 more
doaj +1 more source
Exploiting Integrated Demand Response for Operating Reserve Provision Considering Rebound Effects
Electricity-driven thermostatically controlled loads (TCLs), e.g., air conditioners (ACs), have been widely utilized in demand response (DR) to provide operating reserve for power systems.
Xiaoming Zhou +6 more
doaj +1 more source
Distributed Load Control Using Reliable Low-Data-Rate Power Line Communication
Many demand-response schemes fail because they inconvenience consumers or add unnecessary costs. When participating in a typical demand-response scheme, a consumer may be subjected to invasive control systems, communication systems, or data collection ...
Adedayo O. Aderibole +3 more
doaj +1 more source
Integrating renewable energy, particularly wind power, into modern power systems introduces challenges concerning stability and reliability. These issues require enhanced regulation to balance power supply with load demand.
Zahid Ullah +3 more
semanticscholar +1 more source
Molecular dynamics is used to investigate structure refinement during severe plastic deformation. The results show similitude with experimental data. Molecular dynamics simulations of severe plastic deformation of monocrystalline and polycrystalline samples by multiaxial compression of aluminum are carried out.
Roberto B. Figueiredo
wiley +1 more source
Voltage Control-Based Ancillary Service Using Deep Reinforcement Learning
Ancillary services rely on operating reserves to support an uninterrupted electricity supply that meets demand. One of the hidden reserves of the grid is in thermostatically controlled loads.
Oleh Lukianykhin, Tetiana Bogodorova
doaj +1 more source
We apply a foundational machine‐learning interatomic potential based on the graph atomic cluster expansion (GRACE) to simulate the commercial Ni‐based single‐crystal superalloy CMSX‐4. Hybrid Monte‐Carlo/molecular dynamics sampling resolves short‐range order in the γ phase and L12 sublattice occupancies in the γ’ phase and connects them to stacking ...
Aditya Vishwakarma +4 more
wiley +1 more source
This study developed an amphiphilic ultrathin mesoporous adsorbent through microstructure design, which exhibits remarkable mass transport efficiency and high affinity toward PFAS, thereby achieving an ultrahigh uptake capacity and rapid kinetics for PFAS adsorption.
Yeqiu Zhao +11 more
wiley +1 more source

