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Distribution network reconstruction has caused widespread concern of the community. Firstly, the method of calculating the power flow of the ant colony algorithm is analyzed, and puts forward the hybrid modified ant colony algorithm of distribution network reconfiguration method, using simulated annealing algorithm to generate the ant pheromone distribution, with increasing attachment branch impedance...
Recently, the integration of distributed generation (DG) units to distribution networks has grown significantly. This integration provides an opportunity to control the power flow, resulting in the optimal power flow (OPF) at the distribution level. OPF can reduce system losses and decrease the DG generation costs. Additionally, it can improve the voltage profile. Applying OPF to distribution networks...
This paper presents a new Single/Multi-Objective Optimization algorithm inspired by hunting behavior of Grey Wolves (S/MOGWO). Modification is introduced to enhance the convergence rate of GWO. The proposed algorithm has been applied to minimize the emission grades of deleterious pollutants and to reduce the generating cost individually. Also, the proposed MOGWO is used to generate Pareto-optimal...
In this paper the multi-objective technique for Distribution Network (DN) reconfiguration in existence of Distribution Generation system (DGs) using an Integrated Gravitational Search Algorithm (IGSA) is proposed. The novel technique is intended to improve the traditional GSA. It glistens with glittering qualities such as the augmented searching skills, incredible dip in intricacy together the randomization...
The Hybrid Particle Swarm Optimization (HPSO), combination of Genetic Algorithm (GA) and Adaptive PSO (APSO), is developed for the different sets of constraint power flow analysis with the UPFC. The breeding and subpopulation procedure which are applied in GA are merged into APSO for the proposed security constraint Hybrid PSO (SCHPSO) algorithm to obtain new search space into the current individual...
This research utilizes particle swarm optimization (PSO) to minimize the total active power losses in an IEEE 6-bus transmission system. The complexity of the problem lies in integrating Newton-Raphson load flow algorithm, which is used in computing power losses, with PSO algorithm, which is used to minimize these losses. The considered PSO control variables are: the reactive power output of generators,...
The optimization problems in power systems become larger and larger due to the increased number of variables from distributed generation and flexible loads. Hence, there has been growing interest in decomposition methods that facilitate distributed decision making. However, limited effort has been spent on the actual implementation of decomposition methods including determining how to partition the...
A European Power Exchange day-ahead market with both simple and combinatorial products is modeled in this paper and cleared using Benders Decomposition. Except from simple hourly supply offers and demand bids, the products comprise supply and demand profile block offers/bids, and supply and demand linked profile block offers/bids. The problem constitutes a Mixed Integer Linear Programming model having...
Nowadays the necessary coordination of trades to clear the energy market, while maintaining network security and adequacy of supply, is carried out centrally by a system operator. This paper examines the idea of an autonomously operating power system where energy trading is conducted in a decentralized manner among market players. A general decentralized solution framework is proposed, the main issues...
The optimal power flow (OPF) is an extremely complex, nonlinear programming (NLP) problem encountered in power system transmission planning and operations. In this paper, the application of the incremental linear programming (LP) method to the OPF is explored. A trust region method is proposed for determining the size of the optimization region for the linearized model during each iteration. Generator...
Interior point method (IPM), as one of the most efficient methods, is being extended to solve different types of optimization problems in electric power domain. In this paper, the nonlinear OPF problem, formulated with a rectangular coordinate form, is solved using the enhanced multiple predictor-corrector interior point method, which is combined with the selection of the optimal composite direction...
This paper presents an optimal power flow (OPF) solution based on maximizing distributed generator (DG) real power output with a restraint on network losses for radial and meshed distribution networks. The multi-objective nonlinear OPF problem with weighting terms for DG real power output and loss is linearized and solved by pure primal-dual interior point method. Besides explaining the basic algorithm,...
Optimal power flow (OPF) is a large scale nonlinear non-convex optimization problem. In the last decades many algorithms are developed to solve these problems and the interior point method (IPM) is a popular one. The primal-dual IPMs and their later developments have attracted much research interest. Impressed by the improvements in convergent performance of the further developed multiple centrality...
This paper presents a load flow solution for radial and weakly meshed distribution system. The problem is formulated as an optimization problem based on minimization of L1 norm of a vector consisting of power mismatch at every node in a distribution system. The optimization problem is solved using interior point (IP) method. The advantage of interior point method is that it converges in polynomial...
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