The Experts below are selected from a list of 452376 Experts worldwide ranked by ideXlab platform
Serdar Ozyon - One of the best experts on this subject based on the ideXlab platform.
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incremental artificial bee colony with local search to Economic dispatch problem with ramp rate limits and prohibited operating zones
Energy Conversion and Management, 2013Co-Authors: Serdar Ozyon, Dogan AydinAbstract:In this study, prohibited operating zone Economic Power dispatch problem which considers ramp rate limit, has been solved by incremental artificial bee colony algorithm (IABC) and incremental artificial bee colony algorithm with local search (IABC-LS) methods. The transmission line losses used in the solution of the problem have been computed by B-loss matrix. IABC, IABC-LS methods have been applied to three different test systems in literature which consist of 6, 15 and 40 generators. The attained optimum solution values have been compared with the optimum results in literature and have been discussed.
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charged system search algorithm for emission constrained Economic Power dispatch problem
Energy, 2012Co-Authors: Serdar Ozyon, Hasan Temurtas, Burhanettin Durmus, Gultekin KuvatAbstract:Today it is very important to consider environmental effects in Economic Power dispatch problems as well. These kinds of problems, which are called environmental Economic Power dispatch problems, are multi-objective optimization problems. In the present study, in order to find the pareto-optimal results, the problem has been transformed into single-objective optimization problem by using weighted sum method. Charged system search algorithm (CSS) has been used for the solution of the transformed problem. CSS algorithm has been applied to the 30 bus 6 generator (IEEE) test system by including transmission line losses. Also, Economic Power dispatch problem with prohibited operating zone which considers ramp rate limit, has been solved by CSS. B loss matrix has been used for the computation of the transmission line losses. In the study, the pareto-optimal solutions obtained for different weight values (w) have been compared with the solution values obtained by the other methods in literature.
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solution to scalarized environmental Economic Power dispatch problem by using genetic algorithm
International Journal of Electrical Power & Energy Systems, 2012Co-Authors: Celal Yasar, Serdar OzyonAbstract:Abstract Nowadays, the widespread use of fossil based fuels in Power generation units requires the consideration of the environmental pollution. Therefore, in this study, the solution of scalarized environmental Economic Power dispatch problem in which the environmental pollution has been taken into consideration has been analyzed by using genetic algorithm (GA). In order to turn the environmental Economic Power dispatch problem into the single objective optimization problem, the conic scalarization method (CSM) has been used. Also, weighted sum method (WSM) has been utilized in the scalarization of the same problem for comparison with CSM. The solution algorithm is tested for the electric Power system of thermal units which has been solved by different methods in the literature. The best solution values that give minimum total fuel cost and minimum total emission values have been obtained (Pareto optimal values) for different weight values under electric constraints via CSM and WSM. The obtained Pareto optimal values for different scalarization methods have been compared with each other.
Zhiyun Lin - One of the best experts on this subject based on the ideXlab platform.
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distributed algorithm for dynamic Economic Power dispatch with energy storage in smart grids
Iet Control Theory and Applications, 2017Co-Authors: Hao Xing, Zhiyun Lin, Benjamin F HobbsAbstract:The dynamic Economic dispatch problem with energy storage in a smart grid scenario is studied, which aims at minimising the aggregate generation costs over multiple periods on condition that the time-varying demand is met, while physical constraints on generation and storage as well as system spinning reserve requirement are satisfied. In our model, energy storage devices are incorporated for not only inter-temporal energy arbitrage to reduce total generation cost, but also providing spinning reserve to share generators' burden. To solve this problem, we assume that the communication networks are strongly connected directed graphs and propose a fully distributed algorithm based on the `consensus-like' iterative algorithm and the alternating direction method of multipliers. Our algorithm is distributed in the sense that no leader or master nodes are needed, while all the nodes conduct local computation and communicate merely with their neighbours. Numerical simulation is included to show the effectiveness of the proposed algorithm.
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distributed bisection method for Economic Power dispatch in smart grid
IEEE Transactions on Power Systems, 2015Co-Authors: Hao Xing, Yuting Mou, Minyue Fu, Zhiyun LinAbstract:In this paper, we present a fully distributed bisection algorithm for the Economic dispatch problem (EDP) in a smart grid scenario, with the goal to minimize the aggregated cost of a network of generators, which cooperatively furnish a given amount of Power within their individual capacity constraints. Our distributed algorithm adopts the method of bisection, and is based on a consensus-like iterative method, with no need for a central decision maker or a leader node. Under strong connectivity conditions and allowance for local communications, we show that the iterative solution converges to the globally optimal solution. Furthermore, two stopping criteria are presented for the practical implementation of the proposed algorithm, for which sign consensus is defined. Finally, numerical simulations based on the IEEE 14-bus and 118-bus systems are given to illustrate the performance of the algorithm.
Carol Vlassoff - One of the best experts on this subject based on the ideXlab platform.
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From rags to riches: The impact of rural development on women's status in an Indian village
World Development, 1994Co-Authors: Carol VlassoffAbstract:Abstract This paper discusses change in women's status in a village in Maharashtra that experienced rapid agricultural growth during 1975–1987. It examines two objective indicators of women's status—education and mobility — as well as attitudinal indicators of autonomy, Economic Power and prestige. Economic growth is found to have a mixed effect on women's status: while freeing women from much tiresome work and giving them more prestige within the home, it resulted in reduced autonomy and Economic Power. Explanations are sought in modern theory on women and development and in historical evidence concerning the impact of industrialization on women in the now industrialized countries.
Mahesh S Illindala - One of the best experts on this subject based on the ideXlab platform.
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Economic Power capacity design of distributed energy resources for reliable community microgrids
Energy Procedia, 2017Co-Authors: Chen Yuan, Zhiwei Wang, Xi Chen, Mahesh S IllindalaAbstract:Abstract Community microgrids are developed within existing Power systems by integrating local distributed energy resources (DERs). So Power distribution systems can be seamlessly partitioned into community microgrids and end-users could be largely supported when an extreme event happens. However, because of the low inertia characteristics of DERs, their Power capacity should be well designed to cover unexpected events and guarantee system reliability. This paper presents a quantitative and qualitative combined methodology for DERs selection, and an Economic approach to meet the system reliability requirements. Discrete time Fourier transform (DTFT) and particle swarm optimization (PSO) are employed to obtain the optimal solution, with consideration of load demand and renewable generation uncertainties. In addition, a sensitivity analysis is conducted to show how DERs’ capacity design is impacted by counted portion of the forecasted renewable generation.
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Economic Power capacity design of distributed energy resources for reliable community microgrids
arXiv: Optimization and Control, 2017Co-Authors: Chen Yuan, Zhiwei Wang, Xi Chen, Mahesh S IllindalaAbstract:Community microgrids are developed within existing Power systems by integrating local distributed energy resources (DERs). So Power distribution systems can be seamlessly partitioned into community microgrids and end-users could be largely supported when an extreme event happens. However, because of DERs low inertia, their Power capacity should be well designed to cover unexpected events and guarantee system reliability. This paper presents a quantitative and qualitative combined methodology for DERs selection, and an Economic approach to meet the system reliability requirements. Discrete time Fourier transform (DTFT) and particle swarm optimization (PSO) are employed to obtain the optimal solution, with consideration of load demand and renewable generation uncertainties. In addition, a sensitivity analysis is conducted to show how DERs' capacity design is impacted by counted portion of the forecasted renewable generation.
Hao Xing - One of the best experts on this subject based on the ideXlab platform.
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distributed algorithm for dynamic Economic Power dispatch with energy storage in smart grids
Iet Control Theory and Applications, 2017Co-Authors: Hao Xing, Zhiyun Lin, Benjamin F HobbsAbstract:The dynamic Economic dispatch problem with energy storage in a smart grid scenario is studied, which aims at minimising the aggregate generation costs over multiple periods on condition that the time-varying demand is met, while physical constraints on generation and storage as well as system spinning reserve requirement are satisfied. In our model, energy storage devices are incorporated for not only inter-temporal energy arbitrage to reduce total generation cost, but also providing spinning reserve to share generators' burden. To solve this problem, we assume that the communication networks are strongly connected directed graphs and propose a fully distributed algorithm based on the `consensus-like' iterative algorithm and the alternating direction method of multipliers. Our algorithm is distributed in the sense that no leader or master nodes are needed, while all the nodes conduct local computation and communicate merely with their neighbours. Numerical simulation is included to show the effectiveness of the proposed algorithm.
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distributed bisection method for Economic Power dispatch in smart grid
IEEE Transactions on Power Systems, 2015Co-Authors: Hao Xing, Yuting Mou, Minyue Fu, Zhiyun LinAbstract:In this paper, we present a fully distributed bisection algorithm for the Economic dispatch problem (EDP) in a smart grid scenario, with the goal to minimize the aggregated cost of a network of generators, which cooperatively furnish a given amount of Power within their individual capacity constraints. Our distributed algorithm adopts the method of bisection, and is based on a consensus-like iterative method, with no need for a central decision maker or a leader node. Under strong connectivity conditions and allowance for local communications, we show that the iterative solution converges to the globally optimal solution. Furthermore, two stopping criteria are presented for the practical implementation of the proposed algorithm, for which sign consensus is defined. Finally, numerical simulations based on the IEEE 14-bus and 118-bus systems are given to illustrate the performance of the algorithm.
