Future electricity market structure to ensure large volume of RES

The article define set of rules for future Electricity market structure, taking into account network codes, legislation and directives to ensure RES integration targets and Energy Union Dimensions in term of a fully integrated internal energy market and transition to a long lasting low-carbon society. Presented research studies are based on new way of power system operation development, namely Web-of-cell concept, of FP7 IRP ELECTRA. It’s aiming to ensure conceptual E-market design and future power system 2030+ control solutions

Future electricity market structure to ensure large volume of RES

The article define set of rules for future Electricity market structure, taking into account network codes, legislation and directives to ensure RES integration targets and Energy Union Dimensions in term of a fully integrated internal energy market and transition to a long lasting low-carbon society. Presented research studies are based on new way of power system operation development, namely Web-of-cell concept, of FP7 IRP ELECTRA. It’s aiming to ensure conceptual E-market design and future power system 2030+ control solutions

Frequency restoration reserves : provision and activation using a multi-agent demand control system

In this work a control system for restoration reserve providers is proposed in which optimal biddings of restoration reserve capacity are made based on the predicted flexibility of the reserve resources within the portfolio of the reserve provider. I t is assumed that the gate closure time for submitting reserve capacit y bids is 1 hour before activation time. The reserve capacity bids need to be formed so that activation of the capacity is always feasible, irrespective of the consumption of the portfolio before an activation request. The determination of the optimal reserve capacity bids is only based on aggregated flexibility constraint information received by the individual flexible resources within the portfolio of the reserve provider. No further resource-spe cific information is used to determine the optimal reserve capacity bid. The activation and dispatch of the required power consumption at real time is done through a market-based multi-agent control system. A simulation example, in which the reserve capacity of a portfolio of batteries is simulated, proves the feasibility of the proposed approach and shows that a high precision of the portfolio response can be obtained

Potential of plug-in electric vehicles for supporting regional power distribution system operation with high penetration of wind generation

With wider deployment of the plug-in electric vehicle (PEV), a power distribution network operator (DNO) would expect increasing domestic demand due to large numbers of vehicles charging. This could lead potentially to overloading of power system assets unless appropriate demand side management is in place. The UK coalition government has made a commitment to increase the amount of renewable generation capacity. To ensure 15% of energy demand is met from renewable sources by 2020, a massive amount of wind generation needs to be installed across the country. This paper presents the potential opportunities from using domestic owned electric vehicles to support the operation of regional power distribution networks in the context of a high penetration of wind generation

A multi-agent fault detection system for wind turbine defect recognition and diagnosis

This paper describes the use of a combination of anomaly detection and data-trending techniques encapsulated in a multi-agent framework for the development of a fault detection system for wind turbines. Its purpose is to provide early error or degradation detection and diagnosis for the internal mechanical components of the turbine with the aim of minimising overall maintenance costs for wind farm owners. The software is to be distributed and run partly on an embedded microprocessor mounted physically on the turbine and on a PC offsite. The software will corroborate events detected from the data sources on both platforms and provide information regarding incipient faults to the user through a convenient and easy to use interface