Absolute stochastic simulated annealing approach to unit commitment problem Export

@inproceedings{citeulike:788532, abstract = {This paper presents a new approach to unit commitment problem using absolute stochastic simulated annealing method. In every iteration, a solution is taken with a certain probability. Typically in simulated annealing method, a higher cost feasible solution is accepted with temperature dependent probability, but other solutions are accepted deterministically. That may lead to the near optimization slowly. However in this paper, all the solutions, both higher and lower cost, are associated with acceptance probabilities. Besides, number of bits flipping is decided by appropriate probability distribution. Excess units with system dependent probability distribution handle constraints efficiently. To reduce the economic load dispatch (ELD) calculation, sign bit vector is introduced as well. The proposed method is tested using the reported problem data set. Simulation results for the systems up to 100-unit are compared to previous reported results. Numerical results show an improvement in solution cost and time compared to the results obtained from recent powerful algorithms.}, author = {Saber, A. Y. and Senjyu, T. and Miyagi, T. and Urasaki, N. and Funabashi, T.}, citeulike-article-id = {788532}, citeulike-linkout-0 = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1599303}, journal = {Intelligent Systems Application to Power Systems, 2005. Proceedings of the 13th International Conference on}, keywords = {economic-dispatch, energy, genetic-algorithms, new, simulated-annealing, unit-commitment}, pages = {6 pp.+}, posted-at = {2006-08-07 10:20:09}, priority = {2}, title = {Absolute stochastic simulated annealing approach to unit commitment problem}, url = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1599303}, year = {2005} }

TY - CONF ID - citeulike:788532 L3 - citeulike-article-id:788532 N2 - This paper presents a new approach to unit commitment problem using absolute stochastic simulated annealing method. In every iteration, a solution is taken with a certain probability. Typically in simulated annealing method, a higher cost feasible solution is accepted with temperature dependent probability, but other solutions are accepted deterministically. That may lead to the near optimization slowly. However in this paper, all the solutions, both higher and lower cost, are associated with acceptance probabilities. Besides, number of bits flipping is decided by appropriate probability distribution. Excess units with system dependent probability distribution handle constraints efficiently. To reduce the economic load dispatch (ELD) calculation, sign bit vector is introduced as well. The proposed method is tested using the reported problem data set. Simulation results for the systems up to 100-unit are compared to previous reported results. Numerical results show an improvement in solution cost and time compared to the results obtained from recent powerful algorithms. JF - Intelligent Systems Application to Power Systems, 2005. Proceedings of the 13th International Conference on TI - Absolute stochastic simulated annealing approach to unit commitment problem SP - 6 pp. KW - economic-dispatch KW - energy KW - genetic-algorithms KW - new KW - simulated-annealing KW - unit-commitment AU - Saber, AY AU - Senjyu, T AU - Miyagi, T AU - Urasaki, N AU - Funabashi, T PY - 2005/// UR - http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1599303 ER -