EPE 2023 - DS1n: Smart Grids | ||
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![]() | Charging Pricing Incentives-Enabled Coordinated Dispatching for Improved Overall Benefits of Electric Vehicles and Islanded Photovoltaic Charging Stations
By Wenjin YANG, Hengzhao YANG | |
Abstract: As the penetration of electric vehicles (EVs) keeps increasing, the vehicle-grid integration problem is becoming even more challenging. This paper proposes a coordinated dispatching strategy for EVs by introducing charging pricing incentives to improve the overall benefits of all the EVs and the isolated photovoltaic charging stations (PVCSs) operating in the islanded mode. Simulation results show that the total cost of all the EVs as a whole is reduced. Moreover, the safety and efficiency of all the PVCSs are boosted in that the charging or discharging power of the PVCS batteries are always within the range such that the PVCSs are neither overloaded nor underloaded.
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![]() | Construction of LVDC Demonstration Site for Verification of Performance and Safety Function of Component in LVDC System
By Jung-Sik CHOI, Byoung-Sun KO, Seung-Yeol OH, Dae-Seak CHA, Mina KIM | |
Abstract: This article presents the LVDC demonstration site that can evaluate performance and safety function of various power devices constituting DC distribution network and DC consumers. Furthermore, basic operation strategy of demonstration site is presented.
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![]() | Model-Free Adaptive Control Algorithm for VSG-Controlled Inverter-Interfaced Distribution Generators
By Bingchen JIANG, Josep M. GUERRERO, Saeed GOLESTAN, Shuting LI, Juan C. VASQUEZ, Muhyaddin J. M. RAWA, Sultan ALGHAMDI | |
Abstract: Low or zero inertia characteristics Inverter interfaced renewable energy sources pose a challenge to the stable operation of power systems. To deal with challenge, the concept of Virtual Synchronous Generator (VSG) has been widely adopted. Traditional VSGs, however, have limitations in meeting the requirements of microgrid frequency stabilization as they rely on a fixed inertia. To tackle this challenge, a Model-Free Adaptive Control (MFAC) strategy is developed in this article. To assess the efficacy of the suggested control strategy, some simulation results are provided.
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