Iliev, Atanas
Preferred name
Iliev, Atanas
Official Name
Iliev, Atanas
Main Affiliation
Email
ilievatanas@yahoo.co.uk
15 results
Now showing 1 - 10 of 15
- Some of the metrics are blocked by yourconsent settings
Item type:Publication, - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Оптимално управување со токови на енергија во микромрежи приклучени на дистрибутивната мрежа(2022-09); ; Zenku, ImerThe increased penetration of renewable energy sources, as well as the higher standards for quality electricity, actualize the implementation of microgrids into the standard power system. Microgrids provide consumers with higher reliability of power supply, and characterize with lower costs and lower power losses. Microgrids consist of many different distributed generators, more interconnected consumers, batteries and backup generators, and therefore optimization is mandatory for proper and balanced operation of the microgrid. The paper analyses the problem of optimal energy management in a hybrid system (microgrid), which consists of a photovoltaic and wind generators, connected to the distribution network. Also, the microgrid includes industrial prosumers. An upgraded genetic algorithm is applied in the optimization, which takes into account the technical limitations of the installed equipment and the voltage levels in the nodes. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Димензионирање на автономен фотоволтаичен систем со примена на LOLP метода(2017-09); ; - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Curriculum Development in the Engineering Education(Journal of Information Organization, 2021-09); ; Petrova, NatalijaEngineering education is undergoing tremendous changes due to the digital technology growth where it embraces the curriculum changes in the business and social environment. In this work we have analysed deeply the kind of challenges and solutions, the new emerging topics and addressed the issue of how to develop creative skills so that the students can run projects. The project developments and required challenges in the engineering education are studied and the issues related to project management and risk management are addressed. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Managing Risk In Transmission System With Implemented Service Oriented Arhitecture(2013); The purpose of the paper is to analyze power system disruptions, high voltage (HV) equipment condition and to provide a methodology for their interception and risk reduction. Risk management in energy companies refers to the analysis, identification and quantification of risk events. Web services and Service Oriented Architecture (SOA) are used for system planning and analysing. Risk planning and identification phase includes database design for defined risks, reasons for their occurrence and consequences of the emergence and proposing responses to address the risks in the energy sector. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Optimal Energy Management of Hybrid Stand-Alone Power System by Using Dynamic Programming(2021); - Some of the metrics are blocked by yourconsent settings
Item type:Publication, - Some of the metrics are blocked by yourconsent settings
Item type:Publication, - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Mean‐Guided Elite Selection Genetic Algorithm for Multi‐Objective Optimization of Operational Costs and Voltage Control in Grid‐Connected Microgrids(Institution of Engineering and Technology (IET), 2025-12-29); <jats:title>ABSTRACT</jats:title> <jats:p>This paper presents a bi‐objective optimisation approach for grid‐connected microgrids, aiming to minimise operational costs and voltage deviation at the connection nodes of distributed energy resources and loads. Existing research typically addresses these objectives separately, and the simultaneous consideration of economic performance and voltage deviation in grid‐connected community microgrids with multiple generation resources remains in an early stage of development. To advance the research in this area, a novel mean‐guided elite selection genetic algorithm (MGES‐GA) is proposed to enhance the balance between convergence and diversity in multi‐objective optimisation. The proposed algorithm enhances the selection process by re‐evaluating low‐performing individuals through gene mixing with elite solutions, thereby preserving diversity and avoiding premature convergence. Comparative analysis of the MGES‐GA with the enhanced genetic algorithm, differential evolution with heuristic, and improved differential evolutionary optimisation algorithms demonstrates its superior performance in optimising the economic dispatch of a grid‐connected microgrid. In a bi‐objective comparison with state‐of‐the‐art algorithms, tested on a modified IEEE European low‐voltage test feeder and IEEE 33‐bus network, MGES‐GA demonstrates its effectiveness in balancing conflicting objectives by producing lower voltage deviations at comparable or lower costs.</jats:p>