This paper presents an electricity consumer characterization framework based on a knowledge discovery in databases (KDD) procedure, supported by data mining (DM) techniques, applied the different stages of process. The core this is model combination unsupervised and supervised learning techniques. Two main modules compose framework: load profiling module classification module. creates set classes using clustering operation representative profiles for each class. uses to build able assign...

Triggered by the increased fluctuations of renewable energy sources, European Commission stated need for integrated short-term markets (e.g., intraday), and recognized facilitating role that local communities could play. In particular, microgrids are expected to play a crucial part in guaranteeing balance between generation consumption on level. Local empower small players provide stepping stone toward fully transactive systems. this paper, we evaluate such system by, first, modeling...

This paper presents a comprehensive analysis on the latest advances in transactive energy systems. The main contribution of this work is centered definition concepts and how such systems can be implemented smart grid paradigm. analyzed works have been categorized into three lines research: (i) network management; (ii) control; (iii) peer-to-peer markets. It has found that most current approaches for are available as model, lacking real implementation to complete validation. For purpose, both...

Around the world, electricity industry, which has long been dominated by vertically integrated utilities, is experiencing major changes in structure of its markets and regulations. Owing to new regulations, it's evolving into a distributed industry market forces drive electricity's price. The becoming competitive; environment replacing traditional centralized-operation approach. This transformation often called deregulation market. MASCEM, multiagent simulator system, valuable framework for...

The energy resource scheduling is becoming increasingly important, as the use of distributed resources intensified and massive gridable vehicle (V2G) envisaged. This paper presents a methodology for day-ahead smart grids considering intensive generation V2G. main focus comparison different EV management approaches in management, namely uncontrolled charging, V2G Demand Response (DR) programs approach. Three DR are designed tested (trip reduce, shifting reduce reduce+shifting). Other...

Summary form only given. This paper proposes a Simulated Annealing (SA) approach to address energy resources management from the point of view Virtual Power Player (VPP) operating in smart grid. Distributed generation, demand response, and gridable vehicles are intelligently managed on multi-period basis according V2G users' profiles requirements. Apart using aggregated resources, VPP can also purchase additional set external suppliers. The includes case study for 33 bus distribution network...

To study and understand this type of market, we developed the Multiagent Simulator Competitive Electricity Markets (MASCEM) platform based on multiagent simulation. The MASCEM model includes players with strategies for bid definition, acting in forward, day-ahead, balancing markets considering both simple complex bids. Our goal was to simulate as many market models player types possible. This approach makes a short medium term simulation well tool support long-term decisions, such those...

The elastic behavior of the demand consumption jointly used with other available resources such as distributed generation (DG) can play a crucial role for success smart grids. intensive use Distributed Energy Resources (DER) and technical contractual constraints result in large-scale non linear optimization problems that require computational intelligence methods to be solved. This paper proposes Particle Swarm Optimization (PSO) based methodology support minimization operation costs virtual...

Price-based demand response is applied to electric power systems. Demand elasticity and consumer enables load reduction. The methodology implemented in the DemSi simulator. Competitive electricity markets have arisen as a result of sector restructuration system deregulation. players participating competitive must define strategies make decisions using all available information business opportunities.

The use of distributed generation and demand-response (DR) programs is needed for improving business models, namely concerning the remuneration these resources in context smart grids. In this paper, a methodology proposed which virtual power player aggregates several small-sized resources, including consumers participating DR programs. global operation costs resulting from resource scheduling are minimized. After scenarios, clustering tools applied order to obtain distinct resources' groups....

Several initiates have been taken promoting clean energy and the use of local flexibility towards a more sustainable green economy. From residential point view, can be provided to operators using home-appliances with ability modify their consumption profiles. These actions are part demand response programs utilized avoid problems, such as balancing/congestion, in distribution networks. In this paper, we propose model for aggregators provision The takes advantage load resources allowing...

The current energy strategy of the European Union puts end-user as a key participant in electricity markets. creation communities has been encouraged by to increase penetration renewable and reduce overall cost chain. Energy are mostly composed prosumers, which may be households with small-size production equipment such rooftop photovoltaic panels. local market is an emerging concept that enables active participation markets especially interesting when place. This paper proposes optimization...