Abstract
This paper addresses the short-term allocation of active/reactive power supplies in transmission systems in a market environment. In many papers market mechanisms to allocate active power within a pool or by bilateral contracts are described. in several Countries Volt/Var control also started to be considered, at least partially, as a marketable service and so new methodologies are required to support this process. This paper presents an integrated multi-objective formulation for the active/reactive power dispatch based on bids from market agents. The local nature of Volt/Var control is provided by the AC power flow equations. The formulation also considers two more objective functions related to system operational efficiency and security. The operation of discrete components as transformer taps and capacitor sections is accurately considered using Simulated Annealing. The proposed methodology is applied on the 30-bus IEEE test system highlighting its advantages and demonstrating the feasibility of its use in real systems.

Abstract
In this paper we present a multiyear dynamic transmission expansion planning formulation considering criteria related with reliability and investment and operation costs. This problem is solved using an interactive method that starts at a non-dominated solution identified by the epsilon-constraint method, in which all objectives except one are converted in constraints using aspiration levels. Afterwards, the decision maker can modify the initial aspiration levels to improve some specific criteria. As a final result, the algorithm determines long term marginal prices, reflecting both investment and operation costs. These prices are well suited to tariff the use of networks as they transmit economic signals to users while addressing the Revenue Reconciliation Problem, typical when using short term approaches. The described approach was used to identify the most adequate 6 year expansion plan for the Portuguese transmission system, the long term marginal prices and the percentage of cost recovery.

Abstract
This paper presents the Simulator of Intelligent Transportation Systems (SITS). The SITS is based on a microscopic simulation approach to reproduce real traffic conditions in an urban or non-urban network and considers different types of vehicles, drivers and roads. A dynamical analysis of several traffic phenomena is then addressed. The results of using classical system theory tools point out that it is possible to study traffic systems, taking advantage on the knowledge gathered with automatic control algorithms. In this line of thought, it was also presented a new modelling formalism based on the embedding of statistics and Fourier transform.

Abstract
The paper presents the simulator of intelligent transportation systems (SITS). The SITS is based on a microscopic simulation approach to reproduce real traffic conditions in an urban or nonurban network and considers different types of vehicles, drivers, and roads. A dynamical analysis of several traffic phenomena is then addressed. The results of using classical system theory tools notes that it is possible to study traffic systems, taking advantage of the knowledge gathered with automatic control algorithms. In this line of thought, a new modeling formalism based on the embedding of statistics and Fourier transform is also presented.

Abstract
This work presents a control strategy applied to a doubly fed induction machine (DFIM) for wind generation in a medium power system. In order to control the active power and reactive power exchange between the machine and the grid, the rotor is fed by a link of AC-DC-AC converters modeled as voltage and controlled current sources, respectively. The control of the rotor-side converter is realized by fuzzy controllers whose performances are compared with that of conventional Proportional-Integral controllers. The control of the grid-side converter is carried out by a control block based on the instantaneous power theory and it is controlled to maintain the DC link voltage constant and to improve the power factor of the system. Some design considerations of the control schemes are discussed. A multimachine model is used in digital simulations to assess the dynamic behavior of the power system control scheme proposed in this work.

Abstract
This paper proposes the utilization of water storage ability to improve wind park operational economic gains and to attenuate the active power output variations due to the intermittence of the wind-energy resource. An hourly-discretized optimization algorithm is proposed to identify the optimum daily operational strategy to be followed by the wind turbines and the hydro generation pumping equipments, provided that a wind-power forecasting is available. The stochastic characteristics of the wind power are exploited in the approach developed in order to identify an envelope of recommended operational conditions. Three operational conditions were analyzed and the obtained results are presented and discussed.