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This paper introduces a methodology to propose operational planning actions within a short-time horizon in distribution systems. This methodology considers real-load curves of distribution transformers and distributed-resources composed by photovoltaic and storage systems. Voltage regulators, capacitor banks and distributed-resources are installed in strategic places in order to maintain voltage in...
This paper proposes a novel optimization algorithm called ant-lion optimizer (ALO) for optimal distributed energy resources (DERs) allocation in various radial distribution networks. The objective function is to maximize the percentage of power losses reduction. The proposed algorithm is executed on IEEE 34 and 118-bus radial distribution networks with different number of installed DERs. The simulation...
Due to the incremental demands for electrical energy, Distributed Generator (DG) sources are prominent in distribution systems. At the same time, the Locations and Capacities of DG sources have profoundly influenced the system losses in a distribution network. In this paper, a Hybrid algorithmusing Power Loss Index (PLI) & Genetic Algorithm (GA) presented for optimized Location and sizing of DG...
This paper presents the results of an optimisation analysis aimed at exploring the geographical allocation of solar PV generation capacity in the context of grid support considerations such as average daily yield and variability, with particular focus on the full year scenario compared to the high demand season. All problem cases were evaluated using a combination of genetic algorithm (GA) and pattern...
Green supplier selection and order allocation problem involves multi-criteria decisions. In this paper, the available suppliers are ranked based on selected green criteria by decision makers in the purchasing department using analytic hierarchy process (AHP). Then, genetic algorithm (GA), that uses real-coded representation chromosomes, is used to find the optimal solution for the multi-objective...
Optimal Integration of Distributed Generation (DG) in distribution grid is one of the important and effective options. Optimal allocation with a suitable sizing of DG units play efficient role in reducing operating cost and power losses in additional to improving voltage stability which are considered in optimization objective function. In this paper, a new effective and powerful optimization algorithm...
In this paper, several design methods of CSD (Canonic Signed Digit) coefficient FIR (Finite Impulse Response) filters are compared to investigate a search process of each method. The design problem is formulated as a combinatorial optimization problem. Because it requires high computation time to obtain the optimal solution, many design methods using metaheuristic approaches have been proposed. In...
In this paper, a new approach for placement of both Distributed Generation (DG) units and capacitor banks in distribution systems is proposed. The goal is to 1) reduce the total real and reactive power losses, 2) improve the voltage profile, and 3) improve the power factor for the total demand. The method uses a bus-ranking scheme based on a weighted sum of indices representative of the impacts that...
The question of how energy storage can be used efficiently and effectively in distribution networks is open and ongoing. This work explores optimal allocation of battery energy storage systems (BESS) in distribution networks to maximize their support in integrating high penetration solar photovoltaics (PV). A genetic algorithm (GA)-based multi-layer multi-objective optimization model is developed...
OFDMA (Orthogonal Frequency Division Multiple Access) is the key technology of the fourth-generation mobile communication and has been applied to many communication standards. In this paper, genetic algorithm (GA) is applied to channel allocation of OFDMA system and is improved from three aspects: initial population, fitness function and user fairness. At the same time, combining improved genetic...
It presents an economic model for a communication network with utility-maximizing elastic users who adapt to congestion by adjusting their flows. Users are heterogeneous with respect to both the utility they attach to different levels of flow and their sensitivity to delay or other measures of congestion. It shows that allowing heterogeneity with respect to delay sensitivity introduces a fundamental...
In this paper, a design method of FIR (Finite Impulse Response) filters with CSD (Canonic Signed Digit) coefficients using ACO (Ant Colony Optimization) is studied. This design problem is formulated as a combinatorial optimization problem. It requires high computation time to obtain an optimal solution. Instead, several heuristic approaches have been developed for solving this problem in a reasonable...
Up to now, classical Quantum Particle Swarm Optimization Algorithm in the late period of convergence has showed some drawbacks, such as population diversity reduce, convergence speed slow down and easy to fall into local optimal solution. This paper improves the classic QPSO algorithm and proposes Grouped Quantum-inspired Particle Swarm Optimization (G-QPSO). In this algorithm, quantum particles are...
Now a Day, using distributed generators (DGs) as power generator resources in Distribution Networks, is growing increasingly. DG installation will cause many advantages such as power loss reduction, increasing reliability, improving voltage profile, power quality and etc. Therefore, proposing an optimal pattern for installing DGs, attracts lots of attention these days. This paper proposes an optimal...
This paper presents a distribution generation (DG) allocation strategy for radial distribution networks under uncertainties of load and generation using adaptive genetic algorithm (GA). The uncertainties of load and generation are modeled using fuzzy-based approach. The optimal locations for DG integration and the optimal amount of generation for these locations are determined by minimizing the network...
In the past years, the Electrical Utility Industry has been confronted with numerous challenges, which include amongst others, the widespread use of distributed energy resources and a public increase in environmental issues. By optimizing the location of switching devices on the electrical distribution system, an improvement in energy not supplied and in the use of distributed energy resources can...
Cognitive radio network is one of the emerging areas in the field of next generation wireless network. This network is an alternative and more suitable solution to the high demands of resources for facilitating integrated & multimedia services. Instead of fixed spectrum allocation as it is done in conventional wireless networks, the cognitive radio network is based on dynamic spectrum allocation...
In this paper, an effective reduction method of the number of subproblems for the design of CSD (Canonic Signed Digit) coefficient FIR (Finite Impulse Response) filters using BB (Branch and Bound method) is studied. The problem can be formulated as a mixed integer programming problem. The problem can be optimally solved by using the BB. For solving the problem, it is required to solve a large number...
The multiple depot multiple travel salesman problem (MD-MTSP) is a common research problem in several mobile robots applications. The problem is known to be NP-hard and centralized solutions are computation intensive and are not suitable for mobile robots applications, in particular for large instances. In this paper, we propose a new market-based multi-robot coordination technique, called move and...
This paper presents the application of a genetic algorithm (GA) in conjunction with a Minimal Spanning Tree (MST) algorithm, in order to allocate jointly capacitors and distributed generation to improve the operation of electrical energy systems. An appropriate selection of the fitness function provides a solution that is able to reduce power losses. Simulations on an IEEE benchmark demonstrate the...
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