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We aim to solve the OPF problem by defining contingency scenarios involved in the optimization problem by means of a SDP relaxation. Contingency scenarios are performed for the IEEE 39-bus system. Contingency analyses are performed by generation and line losses. Contingency scenarios are considered to be possible events. These events may be single contingencies, such as a generation unit failures...
In this paper, a power system model is proposed to achieve a decentralized voltage control scheme. A stabilizing controller design is presented to solve the voltage regulation problem with output feedback. The model is intended to be an exact representation of frequency and terminal voltage, which will allow us to cope with time-varying parameter uncertainties, and also unknown design parameters of...
In this paper, CO2 emission reduction of Photovoltaic Thermal model for residential load has been investigated and evaluated for four different PV coverage area cases of PVT (20%, 40%, 60% and 80%). The analysis is conducted by using a data set of weather conditions of a city in North America over one year.
Although particle swarm optimization (PSO) in its standard form performs extremely well for less complicated convex optimization problems involving reduced search space, it fails in finding global optimal solutions for more complicated nonconvex optimization problems with multiminima functions, thus exploring the promising search space less efficiently to ensure solution with superior quality. Guaranteeing...
Due to growing concerns over climate change, more and more countries are looking to renewable energy sources to generate electricity. Therefore, wind turbines are increasing in popularity. The amount of mechanical power that can be extracted from the wind by a turbine rotor depends on the characteristics of wind turbine. Furthermore, the aim of the characteristics of any wind turbine is to provide...
The paper is concerned with a semidefinite program (SDP) to solve the optimal power flow (OPF) problem for integrating renewable energy sources (RESs) with demand participation in electric grids. The electric generation from renewables as a supplier is randomly realized using an algorithm. The demand participation is provided by demand-side resources with renewables to curtail the actual loads, which...
Forecasting electricity price allows market participants to make informed and sound decisions. Selecting the best training variables is often involved in forecasting in order to obtain optimal prediction. Support Vector Regression (SVR) provides an effective method to fit data and find minimal risk slack variables around a fit line. The best fit depends on the selected input feature set and the tuning...
This paper use differential evolution to do a comparison between two wind turbine cost models used in solving the economic dispatch problem. The models of interest are: The probabilistic model and the negative load model. These models will be used to solve the economic dispatch problem with and without the valve point effect considering different constrains such as generators capacity, ramp rate limit,...
This paper proposes biogeography based optimization (BBO) algorithm and genetic algorithm (GA) to solve the unit commitment problem incorporating the wind energy (UCIW) uncertainty. Unit commitment (UC) problem is mainly finding the minimum cost schedule to a set of generators by turning each one either on or off over a given time horizon to meet the demand load and satisfy different operational constraints...
This paper proposes a future economic dispatch problem for smart grid network (SGED) at peak time using demand side management (DSM) methods. The aim is to model the SGED problem at peak hours and solve it by finding an economic and reliable method of allocating the load on available generation units and choose the least expensive area or consumers to apply the DSM measures while satisfying the problem...
Tracking State Estimation (TSE) predicts potential security contingencies. This paper discusses the application of Fractal Search which is a stochastic meta-heuristic algorithm under various scenarios including normal operation where load fluctuates linearly and bad measurements introduced at different time instants during the study period. The proposed algorithm is tested on IEEE 5, 14, 30, and 57...
The goal of this paper is to present a design of a voltage controller via state-feedback control. An efficient power system model to measure voltage and frequency is introduced. The model including uncertainties is admitted to be time-dependent, with a priori known upper and lower bounds. A method to solve the stabilization problem of the power system model subject to uncertain time-dependent parameters,...
Solar sources require using power converters introducing harmonics in the output waveforms. Data used is the solar radiation and temperature in Halifax, Nova Scotia, Canada. In this work we studied the effect of changing the blanking angle of the square-wave inverter with 60Hz switching. The harmonics are evaluated for various temperatures and solar radiation for the optimum firing angle. Also probability...
In forecast modelling, the feature selection techniques are a significant step of data preprocessing prior to creating the prediction model. Selecting the most significant input features is important to increase the prediction accuracy and minimize the data and training time. In this paper, some feature selection techniques are compared and analyzed. Next, the feature selection techniques are used...
In this paper biogeography based optimization algorithm (BBO) is utilized to propose a new control method (BBO-OPSS) which optimizes the state weighting matrix (Q) and the control weighting matrix (R) of the linear quadratic regulator (LQR). The method is used to find the optimal design of the power system stabilizer (PSS) for a single machine infinite bus system operating at different loading conditions...
In the modern electricity market, it is very significant to have a precise electricity price forecasting in medium term time horizon. There are few studies done concentrating on the medium term forecasting of the electricity price. Medium term time horizon of electricity price forecasting is very useful and of great importance. It has many applications such as future maintenance scheduling of the...
Current grid codes require DFIGs to provide voltage support during a grid fault. The fault ride-through (FRT) capability of DFIGs is the focus of this paper, in which modifications to the DFIG controller are proposed to improve the FRT capability. The static synchronous compensator (STATCOM) controller has been applied with the proposed method to study its influence on the voltage at the point of...
Demand for renewable energy has grown to achieve sustainable, and clean energy not associated with a carbon footprint. Photovoltaic energy (PVE) is a significant renewable resource, and this paper presents an overview of current research on PVE systems and technology. Various topologies for PV power converter/inverter technologies are reviewed, and discussed with respect to their advantages and drawbacks.
The paper presents a robust l switched tuned arm filter and Capacitor compensation (SFC) scheme for single-phase voltage stabilization and efficient energy utilization. The novel Modulated filter-capacitor compensator MF-SFC developed by the Second Author is controlled and improves the power factor at the source and enhance power quality by reducing current harmonic contents. The FACTS based MF-SFC...
In this paper three main types of multi-level inverters are reviewed (diode-clamped, flying capacitor, and cascaded H-Bridge inverters). Different multi-level inverter topologies which are currently available on the market as far as components for the electrical integration of PV systems are also concerned. The new trends of all of these topologies are seeking to reduce the cost, the size of the inverter...
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