Todorovski, Mirko
Preferred name
Todorovski, Mirko
Official Name
Todorovski, Mirko
Main Affiliation
Email
mirko@feit.ukim.edu.mk
23 results
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Item type:Publication, Проценка на потребите од системска флексибилност и инерција на македонскиот електропреносен систем на долгорочен планирачки хоризонт(XII Советување на Сигре Северна Македонија, 17-19 септември 2023, Охрид, С. Македонија, 2023-09) ;С. Малчески ;С. Кузаревски; ; - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Optimal sizing and placement of D-SVC in radial distribution systems using an exhaustive analytical search(SAGE Publications, 2022-06-02) ;Malčeski, Stojan ;Vuletić, Jovica; Angelov, Jordančo<jats:p>Throughout the past few decades, the share of distributed generation in power systems has increased continuously. This increasing trend coupled with the continuous demand growth in the distribution systems started a shift towards heavier reactive power consumption. The latter paved the way for the development of advanced operational and planning algorithms for power distribution systems. Following these trends in the distribution systems, the distribution grids must be developed with greater reliability and flexibility, i.e. smart grids. Consequently, the implementation of smart technologies instead of traditional ones should be considered wherever feasible. This paper presents an approach for optimal placement, economic sizing, and operation point search of distribution static VAR compensator (D-SVC) using an exhaustive analytical search. The proposed algorithm introduces quite a few novelties, unique, superior, and repetitive results presented on a distribution test system IEEE 69.</jats:p> - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Radial distribution network planning under uncertainty by implementing robust optimization(Elsevier BV, 2023-07) ;Zdraveski, Vasko ;Vuletic, Jovica ;Angelov, Jordanco - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Dynamic intelligent load balancing in power distribution networks(Elsevier BV, 2015-12); ; Kocarev, Ljupco - Some of the metrics are blocked by yourconsent settings
Item type:Publication, A robust optimization model for Optimal Feeder Routing and Battery Storage Systems design(Elsevier BV, 2024-11) ;Zdraveski, Vasko - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Implementation of Renewable Energy Source at Large Consumers, a Case Study(60th International Scientific Conference on Information, Communication and Energy Systems and Technologies, Ohrid, N. Macedonia, June 26-28, 2025", 2025-06); ;V.Zdraveski; - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Dynamic Load Balancing and Reactive Power Compensation Switch Embedded in Power Meters(Institute of Electrical and Electronics Engineers (IEEE), 2017-04); ; ; Kocarev, Ljupco - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Decentralized controlled charging and vehicle-to-grid solution for voltage regulation in low voltage distribution systems(Walter de Gruyter GmbH, 2022-04-01) ;Zdraveski, Vasko ;Angelov, Jordanco ;Krstevski, Petar ;Mateska, Aleksandra KrkolevaVuletic, Jovica<jats:title>Abstract</jats:title> <jats:p>This paper offers affordable controlled charging and a vehicle-to-grid solution that uses a non-smart power meter. Additional communication infrastructure in the low-voltage distribution network is not needed. Ladder logic control is developed to be easily implemented by any commercial programmable logic controller. The voltage values measured by the power meter and electric vehicle battery state of charge are the decision variables. A validity check based on the Monte Carlo method is conducted to test the effectiveness of the proposed solution. Electric vehicle charging requirements are simulated based on travel surveys. The results demonstrate the effectiveness of the proposed solution. The voltage level is kept within acceptable limits according to the power quality standard EN50160. One may argue that there is a mismatch between the rate of penetration of electric vehicles and the level of smart grid implementation, especially in developing countries with higher rates of wealth inequality. Therefore, the methodology presented in this paper can be seen as an affordable mid-way solution that will help distribution system operators in developing countries prepare for higher penetration levels of EVs.</jats:p> - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Radial distribution network planning under uncertainty by implementing robust optimization(Elsevier BV, 2023-07) ;Zdraveski, Vasko ;Vuletic, Jovica ;Angelov, Jordanco - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Application of reduced PTDF matrix in iterative modified DC network model for cross-border capacity calculation with consideration of reactive power flow constraints(IEEE, 2017-07); ; ;Vuletic, Jovica; Krstevski, PetarOne of the biggest threats for the security of power grids are congestion of cross-border lines and congestion in the network itself as result of parallel flows. Nowadays, occurrence of congestion is a result of limited network transfer capacities as a direct consequence of increased power transactions. One of the reasons for cross-border congestions are the unreal cross-border capacities calculations. This is a result of assumptions and simplifications made in the methodologies for total transfer capacity calculation. In this paper, we propose an iterative optimization algorithm based on modified DC network model that takes into consideration reactive power flows and all the constraints that comes forward. The proposed methodology is based on reduced Power Transfer Distribution Factor (PTDF) Power Transfer Distribution Factor) matrix. This approach successfully solves two DC Optimal Power Flow (OPF) problems: cost minimization and total transfer capacity calculation. For testing purposes IEEE test network RTS 96 is used.
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