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This paper presents a chance-constrained scheduling (CCS) approach for variable wind generation, in the day-ahead timescale, including energy storage. The day-ahead CCS utilizes the ramping of conventional generation as well as the dispatch of energy storage to enhance the load following and ramping support capabilities, to mitigate the impact of net load ramps. The proposed CCS approach is converted...
In this paper, the application of genetic algorithm (GA) to energy management of isolated power system is discussed. A method to realize the simultaneous optimization of configuration and operation with emergency generators (EGs) in a hospital is proposed as an example. The simultaneous optimization of configuration and operation needs search of enormous combinations, which is generally considered...
The objective of this work is the optimization of a controlled electric vehicle (EV) strategy under a centralized architecture, considering a medium voltage electrical network. The method developed consists of a Particle Swarm Optimization, which determines the time available to charger each EV, segmentation of nodes of the network and their respective charging times, considering as constraints the...
In this study, improved antlion optimization algo-rithm (IALO) is presented. The antlion optimization algorithm (ALO) is an heuristic optimization algorithm based on modeling random walks of ants and hunting ants by antlions. The random walk model of ALO and the IALO revealed by improvements in the selection method have been tested with benchmark functions with different characteristics from the literature...
How to design an effective and efficient load-frequency controller (LFC) for a multi-area interconnected power system to improve its power quality is a challenging issue. In order to deal with this issue, this paper presents a novel distributed fractional-order PID (DFOPID) control method for the load-frequency control of each area by using an adaptive population-based extremal optimization (APEO)...
This paper present an optimal photovoltaic-hydrogen standalone power system using gray wolf optimizer technique. The system composed of photovoltaic generator and a hydrogen production system. Electrical power from solar conversion meets the user loads and the surplus used for water electrolysis to produce hydrogen. Control system is ensured via feed bucks control loops. MPP Tracking regulates with...
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...
Nowadays in the electrical energy market the accent is on the renewable energy resources, more exactly on the protection of the environment. Due to the fact that cities are becoming bigger and the number of the population is growing the reduction of the CO2 emission in the world is important for the people's health. In this paper, we analyzed the importance of building clusters, if the buildings have...
In this paper is presented the mathematical model for the optimization of a radial electric network, taking into account the cost of investment in an electric line, the cost of line losses and the cost of load supplied from a source and constraints. The constraints are for sources, for loads and for the power lines. The purpose of the paper is to determine the optimal configuration (graph) of a test...
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...
With economic and industrial restructuring, the number and size of commercial parks are increasing. The most basic function of energy storage system in commercial parks is to carry out the load side, Which also brings economic benefits and ensures the reliability of power grid. Therefore, it is of practical significance to study the control strategy of energy storage system in business parks. In this...
In this paper, the Economic Power Dispatch (EPD) of the thermal power plants in Iraq is studied. The main goal of this study is to minimize the high fuel costs of the Iraqi power generation system by controlling the outputs for each generating unit via the optimization algorithms. Though the Iraqi network is composed of the total 31 thermal units, it is considered as a large-scale system, and the...
This paper presents an economic operation considered renewable energy which is optimized using thunderstorm algorithm. The problem is constrained by an emission standard and various technical limits implemented on the 62-bus system model. Simulations showed that the renewable energy inclusion penetrates to the unit commitment of generating units with strongly approach for the computational solution...
This paper tackles an aggregate state control problem of multi-agent systems with white noise, where the control objective is that the aggregate state of all agents exponentially converges to zero. For this purpose, networked PI-consensus controllers are employed to facilitate the controller design. An explicit condition of the controller parameters for the aggregate state convergence is derived and...
This paper presents an optimal placement of multi-type FACTS devices within the grid for maximizing the system loadability. The model selects the best device, location and setting considering a limited budget. The model is solved using genetic algorithms. Results shows that there is nonlinear relationship between the budget and the system loadability. Furthermore, there is a budget threshold above...
This paper proposes a sequential loading method, which finds the hourly changes of frequency and optimal load distribution between power stations. The method solves to minimize the aggregate cost in the electric power system (EPS). The method also calculates the surplus or deficit of an active power in EPS, hourly power flows of each transmission lines, active power losses in the networks. Computed...
More Electric Aircraft (MEA) promise many benefits (e.g., reduced weight, decreased fuel consumption, and high reliability), and their development continues to be the trend. Hybrid Unmanned Aerial Vehicles (UAVs) are an ideal prototype to implement concepts of electrification to aircraft due to their small size and the DC nature of their power systems. This paper proposes an energy optimization method...
Co-optimization refers to the simultaneous optimization of two or more different, yet related, resources within one optimization formulation. This paper presents a comprehensive state-of-the-art literature survey on the application of co-optimization to power system engineering. It summarizes literature characterizing co-optimization applications to electricity markets, investment planning and other...
In this paper, a distributed control structure is presented for a nonlinear Medium-Voltage DC (MVDC) Shipboard Power System (SPS). Distributed control architecture has the advantages of less computational burden, high flexibility, and a good error tolerance. In this framework, each subsystem is controlled by a model predictive controller using local state variables and parameters, and also interaction...
In this paper, a reconfiguration method based on Model Predictive Control (MPC) is proposed for a nonlinear Medium-Voltage DC Shipboard Power System. By applying the proposed MPC approach, the reconfiguration is formulated as an optimization problem with respect to operating constraints and also the priorities of loads. The loads are categorized as vital loads, semi-vital loads, and non-vital loads...
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