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Electricity deregulation has caused rapid changes in electricity market structure. Vertically integrated utility which performed all the functions including generation, transmission, distribution and retail services are now disaggregated into separate companies devoted to each function. The main goal of this deregulation is to enhance competition and provide new choices and economic benefits to the...
The integration of renewable energy sources, especially wind energy, has been on the rise throughout the power system worldwide. Due to this relatively new introduction, the integration of wind energy is often not optimized. Moreover, owing to the technical constraints and transmission congestion of the power network, much wind energy that could have reached load centers has to be curtailed. Due to...
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...
While many advantages can be offered by DC-based integrated power system, it is a challenging task to continuously maintain optimal performance with a dynamic load profile. Coordination between the real-time controllers and system optimizer is not a trivial task in such conditions. Some of the protection schemes provide fault detection and isolation functions, but do not consider system level optimization...
A magnetically geared machine (MGM) integrates a magnetic gear with a low torque, high speed electric machine to create a single compact high torque, low speed device with the size advantages of a mechanically geared system and the reliability of a direct drive machine. This work investigates the use of MGMs for wave energy conversion through the development of a large scale magnetically decoupled...
In this paper, reluctance synchronous machines are designed and optimised to operate in the 5 MW power range for the implementation as wind generators. It is shown, when assuming no rotor deformation, that reluctance synchronous generators can be comparatively designed to operate in this power range with power factors higher than 0.8 achieved. In order to further improve the machine performance, an...
Dynamic programming is an effective technique for the evaluation of the potential of optimal fuel consumption of drive trains, as it guarantees a globally optimal solution. This paper investigates two major problems associated with the application of dynamic programming. The first problem is the high computational complexity. Iterative dynamic programming is proposed as an alternative to dynamic programming...
The optimization of electrical machines can be managed using advanced computational intelligence algorithms. These algorithms can speed up the design phase and can improve the performances, being able to find out the optimal design also in problems involving a large number of physical and geometric parameters. In this paper, a new population based metaheuristic algorithms, named Social Network Optimization...
Energy saving is a main concern of telecom operators to reduce TCO and improve market competition. Normally, single generator reaches the best fuel consumption rate when it works under 70%–85% loading rate. But in certain scenarios, the capacity of existing generator is not enough, thus more than one generator will work in parallel in the same hybrid power supply system; for instance in site sharing...
This paper proposes a novel distributed control scheme for DC microgrids to acquire minimum generation cost and recover the global average voltage with consideration of capacity constraints. Our main focus is on constrained problems where the power of each distributed generator (DG) is restricted to lie in the feasible region. In this paper, a global load observer (GLO) is introduced that uses neighbor's...
Economic load dispatch (ELD) is one of the main tools for optimal operation and planning of modern power systems. To solve effectively the ELD problem, most of the conventional calculus methods rely on the assumption that the fuel cost characteristic of a generating unit is a smooth and convex function, resulting in inaccurate dispatch. This paper presents the design and application of a new efficient...
This paper exposes a novel optimization technique named Water Cycle Algorithm (WCA) for solving Economic Dispatch (ED) problem considering practical generator constraints as Prohibited Operating Zones (POZ) and Ramp Rate Limits (RRL) for smooth and non-smooth fuel cost curve of objective function without and with valve point effect, respectively. The proposed technique is applied on three test systems...
This paper gives a brief overview of the current state in the ant colony optimization (ACO) field of study. Furthermore, it introduces an alternative pheromone laying strategy for the ACO algorithm. In the paper, the newly introduced strategy is implemented, tested on a model problem and compared with the classical approach. A parameterized problem space generator has been introduced. The generator...
This paper has the focus to identify the unknown parameters of solar photovoltaic generators in real time, through the application of a new proposed technic. The identification process is discussed with details, about the four steps of identification. In this regard, the first step explain the experimental data acquisition work, to obtain data from real photovoltaic system. For the second step, a...
One of the main issues that still emerging as the most complex fundamental problems in power system operation is Economic dispatch (ED). This paper presents the application of Fruit Fly Optimization (FFO) algorithm technique for solving ED problem. The FFO algorithm is applied to minimize the cost of generating units by allocating the most optimum value of real power for a specific generating unit...
This paper studies the problem of distributed economic dispatch for smart grids under heterogeneous time delays. We design a state predictor for each agent to compensate the effect of heterogeneous time delays. This predictor allows the agents to predict the missing states between two consecutive update times. Based on the predictor, we propose a distributed gradient-descent algorithm to locally update...
This paper deals with fault tolerant control of a sinusoidal EMF five-phase permanent-magnet synchronous generator (PMSG) connected to an AC-DC converter without neutral connection. Under one open phase condition, the proposed global method is based on an original approach optimization problem minimizing copper losses and cancelling torque ripples. The used optimization algorithm is based to a Particle...
For controlling distributed controllable units in radial distribution networks, a method based on alternating direction method of multipliers (ADMM) for dynamic distributed optimal power flow (DOPF) is designed. The convex DistFlow model for power flow is spitted into two layers. Based on power flow of distribution networks, distribution system operators (DSOs) in the upper layer calculate shadow...
Hydrokinetic river (HKT) and photovoltaic (PV) panels systems are of the promising technologies to be used for remote rural electrification. In rural areas with access to water and solar resources, renewable generation is a promising option for electrification. This paper presents a study by two sizing methods for a stand-alone hybrid generation system integrating renewable energies (PV panels and...
With the diversified development of electrical loads, and the large-scale integration of volatile renewable generations, power system operation, control and planning face the challenge of increasing injection uncertainties. In this paper, a new method for reference network considering nodal injection uncertainties is proposed. The actual operation mode optimization and reserve configuration of power...
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