Panayiotis KOLIOS, Research Associate | Cited by 235 | of University of Cyprus, Nicosia | Read 26 publications | Contact Panayiotis KOLIOS (UC) model considering combined-cycle (CC)
Marios M. Polycarpou''s 155 research works with 840 citations and 5,356 reads, including: Integrated Guidance and Gimbal Control for Coverage Planning With Visibility Constraints
Optimizing the energy storage schedule of a battery in a PV PV measurements were taken from a residential 5 kWp PV system located in Nicosia, Cyprus (Lat/Lon: 35.164, 33.358), in
The extreme weather and natural disasters will cause power grid outage. In disaster relief, mobile emergency energy storage vehicle (MEESV) is the significant tool for protecting critical loads
In this letter, a distributed model predictive control strategy for battery energy storage systems is proposed to regulate voltage in distribution network with high-renewable penetration. Control
In disaster relief, mobile emergency energy storage vehicle (MEESV) is the significant tool for protecting critical loads from power grid outage. However, the on-site online expansion of
Request PDF | On Jul 8, 2022, Xiao Zhang and others published Black Start of Multiple Mobile Emergency Energy Storage Vehicles without Communication | Find, read and cite all the
Worldwide awareness of more ecologically friendly resources has increased as a result of recent environmental degradation, poor air quality, and the rapid depletion of fossil fuels as per
Therefore, mobile energy storage systems with adequate spatial–temporal flexibility are added, and work in coordination with resources in an active distribution network and repair teams to establish a bilevel optimization model.
The optimal scheduling model of mobile energy storage systems is established. Mobile energy storage systems work coordination with other resources. Regulation and control methods of resources generate a bilevel optimization model. Resilience of distribution network is enhanced through bilevel optimization.
Moreover, from the simulation results shown in Fig. 6 (h) and (i), the movement of the mobile energy storage system between different charging station nodes meets the transportation time requirements, which verifies the effectiveness of the MESS’s spatial–temporal movement model proposed in this paper.
According to the motivation in Section 1.1, the mobile energy storage system as an important flexible resource, cooperates with distributed generations, interconnection lines, reactive compensation equipment and repair teams to optimize dispatching to improve the resilience of distribution systems in this paper.
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