Coot Bird Behavior-Based Optimization Algorithm For Optimal Placement Of Thyristor Controlled Series Compensator Devices In Transmission Power Networks

This study presents the new application of Coot bird behavior-based optimization algorithm (COOTBA) for optimal placement of Thyristor Con- trolled Series Compensator (TCSC) devices in an IEEE 30-node transmission power network with three single objectives, including fuel cost, power loss, and voltage deviation. COOTBA is implemented for the system with one case without TCSC devices and three others with TCSC. COOTBA can reach smaller cost and loss than previous algorithms by from 0.04% to 3.78%, and from 6.7% to 40.3% in the first case with- out TCSC. In the second case with TCSC, COOTBA can reach smaller cost than others by from 0.008% to 0.66%. In addition, the comparisons of results from COOTBA in the three cases with TCSC indicate that TCSC should be optimized for both location and reac- tance, and the limitation of TCSC devices should be high enough. Thus, COOTBA is an effective algorithm for optimizing TCSC devices on transmission power systems

Low-carbon reliable transmission expansion planning with large-scale renewable energy integration.

Modern electricity systems are changed by the following factors: the development of emerging technologies including renewable energy, carbon capture, power electronics devices, the participation of the demand side in the electricity market; the retirement of aging coal-fired power plants (CFPP); and the implementation of carbon policies. Under the pressure of these changes, transmission systems require augmentations and upgrades to achieve operation safety and reliability requirements. New electricity network planning methods need to be developed to address the above changes. In this research study, the traditional transmission expansion planning (TEP) methods have been improved to adapt to the above changes from three aspects, namely economics, risks, and carbon emissions. To reduce the cost of planning, non-network solutions are coordinated in the TEP model. In terms of the low-carbon transformation: the TEP model is used for considering the CFPP retrofit with post-combustion carbon capture (PCC); while CFPP retirement and replacement models are proposed for aging CFPP. The Pareto optimality of aging CFPP retirement and replacement among three conflicting objectives including carbon emissions, total expenditure, and the operation risks are solved. Moreover, the effect of carbon policies including the carbon tax and carbon trading on TEP are tested. To address the reliability issues, a probability reliability assessment method, a renewable ramping cost model, and a novel risk index are developed to assess the risk in the power systems considering the large integration of renewable energy. The effectiveness of the proposed planning methods has been demonstrated in a few benchmark test systems. Simulations have been used to assess the efficiencies and advantages of each approach. This research study can be used to guide the low- carbon transformation of the electricity systems and it can give suggestions to system planners, power generation companies, and policy makers

Optimización multiobjetivo de la red de distribución de energía eléctrica

Se ha desarrollado la planificación del diseño óptimo de las redes de distribución de energía eléctrica mediante la aplicación y adaptación del algoritmo evolutivo NSGA II, basado en el elitismo y la dominancia de Pareto. Para ello se han considerado tres objetivos; la minimización de perdidas, la maximización de la fiabilidad de suministro del sistema y una función de costes. Esta función de costes, en lugar de ser la generica de minimización de costes se ha adaptado a la realidad del sector, pasando a ser considerada una función de maximización de la retribución de la actividad de distribución El problema esta sujeto a las restricciones habituales, de caída de tensión, capacidad de elementos, radialidad de la red y balance de potencia. Ademas de haber dos restricciones especificas de la legislación; la estandarización de los elementos y la inversión máxima. Contando como variables de decisión, la localización y tamaño de las lineas y subestaciones a instalar, o ampliarThe optimal design of the electric power distribution grids has been developed through the application and adaptation of the evolutive algorithm NSGAII. This algorithm is based on the elitism and dominance of Pareto. To this end, three objectives have been considered: the maximization of loses; the maximization of the reliability of the system supply and a costs function. This costs function is not the generic one of costs minimization, but a new function adapted to the sector reality, and so it is considered as a function of maximization of the retribution of the retribution activity. The problem is supedited to the habitual restrictions of voltage drop, capability of the elements, radiality of the gris and power balance. There are also two specific restrictions related to the legiation: the standarization of the elements and the maximum investment allowed.The location and size of the lines and substations that must be installed or enlarged are considered decision variables.Junta de Castilla y León (a través del proyecto de referencia BU329U14) y del Ministerio de Economía y Competitividad y Fondos FEDER (a través del proyecto de referencia ECO2013-47129-C4-3-R

ICTERI 2020: ІКТ в освіті, дослідженнях та промислових застосуваннях. Інтеграція, гармонізація та передача знань 2020: Матеріали 16-ї Міжнародної конференції. Том II: Семінари. Харків, Україна, 06-10 жовтня 2020 р.

This volume represents the proceedings of the Workshops co-located with the 16th International Conference on ICT in Education, Research, and Industrial Applications, held in Kharkiv, Ukraine, in October 2020. It comprises 101 contributed papers that were carefully peer-reviewed and selected from 233 submissions for the five workshops: RMSEBT, TheRMIT, ITER, 3L-Person, CoSinE, MROL. The volume is structured in six parts, each presenting the contributions for a particular workshop. The topical scope of the volume is aligned with the thematic tracks of ICTERI 2020: (I) Advances in ICT Research; (II) Information Systems: Technology and Applications; (III) Academia/Industry ICT Cooperation; and (IV) ICT in Education.Цей збірник представляє матеріали семінарів, які були проведені в рамках 16-ї Міжнародної конференції з ІКТ в освіті, наукових дослідженнях та промислових застосуваннях, що відбулася в Харкові, Україна, у жовтні 2020 року. Він містить 101 доповідь, які були ретельно рецензовані та відібрані з 233 заявок на участь у п'яти воркшопах: RMSEBT, TheRMIT, ITER, 3L-Person, CoSinE, MROL. Збірник складається з шести частин, кожна з яких представляє матеріали для певного семінару. Тематична спрямованість збірника узгоджена з тематичними напрямками ICTERI 2020: (I) Досягнення в галузі досліджень ІКТ; (II) Інформаційні системи: Технології і застосування; (ІІІ) Співпраця в галузі ІКТ між академічними і промисловими колами; і (IV) ІКТ в освіті