Microgrids for power system resilience enhancement

Power system resilience is defined as the ability of power grids to anticipate, withstand, adapt and recover from high-impact low-probability (HILP) events. There are both long-term and short-term measures that system operators can employ for resilience reinforcement. Longer-term measures include infrastructure hardening and resilient planning, while short-term operational measures are applied in the pre-event, during-event and post-event phases. Microgrids (MGs) can effectively enhance resilience for both transmission and distribution systems, due to their ability to operate in a controlled, coordinated way, when connected to the main power grid and in islanded mode. In this paper, MG-based strategies for resilience enhancement are presented, including MG-based resilient planning and MG-based operational measures, consisting of preventive MG scheduling and emergency measures and MG-based system restoration. Classification of literature is made by considering whether the transmission system, distribution system or individual MG resilience is targeted. The way uncertainties are handled by various methods is also outlined. Finally, challenges and future research requirements for improving MG-based power system resilience are highlighted

On-line dynamic security assessment of power systems in large islands with high wind power penetration

This paper describes the application of advancedinductive inference and statistical methods to on-linedynamic security assessment of the Crete island electricpower system. A description of the problem and the dataset generation procedure are included. Comparativeresults regarding performances of Decision Trees andKernel Regression Trees are presented and discussed

Modelling of micro-sources for security studies

International audienceThe interconnection of small, modular generation and storage technologies at the MV and LV distribution level have the potential to significantly impact power system performance. In this paper models of the main micro-generation sources are described. In particular, the models of Microturbines, Fuel Cells, Photovoltaic Systems and Wind Turbines, are described. In addition basic models of their power electronic interfaces are given. The integration of the above models in a steady state and dynamic simulation tool, which is developed in the framework of the EU funded MICROGRIDS project, will provide a simulation test platform, which will be necessary to define and evaluate the developed operational and control strategies

Dynamic security evaluation functions in the more care project

This paper describes the security assessment functions of anadvanced control system for secure operation of isolated networkswith increased renewable penetration, developed within theMORECARE project. One of the key features of this project isrelated with the capability of assessing on-line dynamic security andproviding preventive control measures that can assure a robustoperation for the system regarding some disturbances.The paper describes with some detail the general approach followedto derive these evaluation functions, which are based in functionalknowledge generated off-line through computational simulation.Techniques like Decision Trees, Artificial Neural Networks andHybrid Regression Trees were successfully exploited and integratedwith other mathematical technical do deal with the problem

DIAGNOSTIC REVIEW OF A BLACKOUT IN RHODES

U radu se daje tehnička analiza jednog incidenta koji se dogodio 21. ožujka 2007. godine u 00:50 sati u noći i doveo do dvosatnog potpunog raspada elektroenergetskog sustava na otoku Rodosu. Analiza događanja temelji se na registriranim operativnim podacima kao i nalazima na terenu. Izvršena je tehnička analiza smetnji kako bi se utvrdili vjerojatni uzroci i čimbenici koji su pridonijeli pojavi smetnji. S obzirom da se radi o izoliranom sustavu koji je osobito je osjetljiv na poremećaje, ispitane su uloge zaštite sustava kao i kolebanja proizvodnje vjetroelektrana tijekom incidenta. Izvučeni su zaključci od praktičnog značenja i dane su preporuke korektivnih mjera koje valja provesti kako bi se u budućnosti spriječile takve smetnje.A technical review of an incident on March 21, 2007 that began at 00:50 a.m. and led to a two-hour blackout of the island of Rhodes electric power system is presented with the complete sequence, including all the relevant registered operational data as well as the on-site field findings. A technical analysis of the disturbance was performed to determine the probable causes and factors that contributed to the duration of the disturbance. Since the system is an isolated one, it is particularly vulnerable to perturbations. The roles of system protection and wind power generation during the incident are examined. Conclusions of practical importance are drawn, including recommendations for corrective measures to be implemented for preventing disturbances of this kind from reoccurring in the future

Education and training needs, methods, and tools

The importance of education and training in the domain of power and energy systems targeting the topics of cyber-physical energy systems/smart grids is discussed in this chapter. State-of-the art laboratory-based and simulation-based tools are presented, aiming to address the new educational needs

On-line dynamic security assessment of isolated networks integrating large wind power production

The paper describes the on-line dynamic security assessment functions developed within the European Union, DGXII programme, CARE. These functions are based exclusively on the application of machine learning techniques. A description of the problem and the data set generation procedure for the Crete island power system are included. Comparative results regarding performances of Decision Trees, Kernel Regression Trees and Neural Networks are presented and discussed.The paper describes the on-line dynamic security assessment functions developed within the European Union, DGXII programme, CARE. These functions are based exclusively on the application of machine learning techniques. A description of the problem and the data set generation procedure for the Crete island power system are included. Comparative results regarding performances of Decision Trees, Kernel Regression Trees and Neural Networks are presented and discussed

A Novel Data-Driven Method for Behind-the-Meter Solar Generation Disaggregation with Cross-Iteration Refinement

10.13039/501100007914-Brunel University London (Grant Number: BRIEF Funding); 10.13039/501100001809-National Natural Science Foundation of China (Grant Number: 51907031); Education Department of Guangdong Province (Grant Number: 2016KCXTD022); Department of Finance and Education of Guangdong Province (Grant Number: Key Discipline Construction Program, China)

Control requirements for optimal operation of large isolated systems with increased wind power penetration

Increased penetration of wind power in isolated systems may cause steady state and dynamic security problems incase of various disturbances. In this paper, initial results of studies of large systems with high wind penetrationare presented, revealing their control requirements in order to increase renewables, while maintaining a high levelof security of operation