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9篇 您的检索式：作者名="Manjaree Pandit"

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		题名	作者	年代	出处	被引量
	1	Particle swarm optimization with time varying acceleration coefficients for non-convex economic power dispatch显示文摘	Krishna Teerth Chaturvedi Manjaree Pandit Laxmi Srivastava	2009	International Journal of Electrical Power and Energy Systems2009，，6：	2
	2	ANN based integrated security assessment of power system using parallel computing显示文摘	Sarika Varshney Laxmi Srivastava Manjaree Pandit	2012	International Journal of Electrical Power and Energy Systems2012，，1：	1
	3	Corrective action planning using RBF neural network 显示文摘	Daya Ram Laxmi Srivastava Manjaree Pandit	2007	Applied Soft Com- puting2007，，7：	1
	4	Modified neo-fuzzy neuron-based approach for economic and environmental optimal power dispatch 显示文摘	Krishna Teerth Chaturvedia Manjaree Pandit Laxmi Srivastava	2008	Applied Soft Computing2008，8，4：	1
	5	Particle swarm optimization with crazy particles for nonconvex economic dispatch 显示文摘	Krishna Teerth Chaturvedi Manjaree Pandit Laxmi Srivastava	2009	Applied Soft Computing2009，9，3：	1
	6	Corrective action planning using RBF neural network 显示文摘	Daya Ram Laxmi Srivastava Manjaree Pandit	2007	Applied Soft Computing2007，7，3：	1
	7	Parameter tuning of Statcom using particle swarm optimization based neural network显示文摘	Varshney Sarika Srivastava Laxmi and Pandit Manjaree	2012	Advances in Intelligent and Soft Computing2012，130，：	1
	8	Particle swarm optimization with time varying acceleration coefficients for non-convex economic power dispatch 显示文摘	Krishna Teerth Chaturvedi Manjaree Pandit Laxmi Srivastava	2009	Electrical Power and Energy Systems2009，31，：	1
	9	Dynamic scheduling of market price-based combined heat–power-constrained renewable microgrid显示文摘In this paper,a market price-based combined heat–power dynamic dispatch model for a microgrid is presented.The microgrid comprises cogeneration units and wind and solar power-generation units.A battery and a heat storage tank are incorporated to optimally balance variations in heat-and-power load demands.The proposed model explores the impact of market prices of electricity,heat supply and load variability on the optimal schedule such that profit maximizes and emission,loss and waste heat are minimized.The Weibull probability distribution function is applied to characterize the uncertain renewable power variable in the model and to find the over-and under-scheduling costs.The problem is solved using an improved differential evolution algorithm in which a fuzzy membership module is appended to obtain a solution having the highest attainment for the selected multiple objectives.The results show that the proposed model can handle uncertain heat–power demand and price scenarios to produce feasible and optimal schedules with owner profits,heat utilization and renewable share varying between 10.55–115.97%,72.51–90.39%and 26.82–38.05%,respectively.	Sunita Shukla Manjaree Pandit	2023	Clean Energy2023，7，4：	0

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