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This paper proposes an operational planning framework for large-scale thermostatically controlled load (TCL) dispatch. The proposed framework consists of a day-ahead scheduling stage and a real-time operation stage. A thermal comfort model is employed to estimate the occupants’ thermal comfort degree. A self-adaptive TCL grouping method is proposed to group the TCLs based on the similarity of the...
This paper considers two important challenges in the distribution network with high renewable penetrations. One is that during the peak load, generation is normally low or zero and it will cause the voltage drop. Meanwhile, during peak generation period, the generated power will exceed the load and be injected to the grid, which will subsequently cause the voltage rise. This paper proposes a MILP...
High speed growth in residential air-conditioning load requires increasing penetration of renewable energy to cater for peak load in current electricity networks. However, voltage over oscillation happens during high renewable penetration periods and peak load demand time. This paper attempts to provide a distributed control strategy to coordinate aggregated air-conditioning loads (ACLs) on network...
In this paper, a Mixed Integer Linear Programming (MILP) based rolling optimization approach under real time pricing (RTP) policy is introduced to efficiently manage energy consumption of a smart home equipped with a Battery Energy Storage System (BESS) and a solar PV system. Models of distributed energy resources (DERs) in a smart house are developed and accordingly optimal management of total energy...
This paper proposes a Mixed Integer Linear Programming (MILP) framework to accommodate more Building Integrated Photovoltaic (BIPV) System in distribution networks. The proposed framework is introduced to efficiently manage energy consumption of building equipped with a Battery Energy Storage System (BESS) and BIPV system. Models of distributed energy resources (DERs) in a building are investigated...
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