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- W3134738797 abstract "• A multi-objective PSO based methodology to obtain the DG planning solutions considering technical, reliability and economic objectives for a meshed distribution network taking into account the stochastic nature of the load as well the output of the renewable energy based DGs. • Application of Markov model based reliability analysis for obtaining the DG planning solutions. • A method to incorporate demand side management (DSM) through load shifting and time of use pricing of electricity for different types of customers in a distribution network for DG planning and thus improve the network parameters. • An integrated resource planning method which considers both DG installation and DSM simultaneously for a meshed distribution network. Planning of renewable energy based distributed generators (DG) is to be done with utmost care because of the uncertain nature of their outputs. In this paper, a multi-objective PSO based solution methodology for the DG planning problem is proposed taking into account the concerns of the grid operators, distribution network operators and the end consumers. Load shifting along with time of use pricing is the strategy adopted for performing demand side management, thereby reducing the discomfort level and the electricity bill of the customers. DG planning is done for solar and wind based sources along with demand side management in order to minimize the system real power loss, improve voltage profile, increase reliability and reduce the expenses of the distribution network operator. Reliability is evaluated using encoded Markov cut set algorithm considering the failure rates, adequacy transition rates, mechanical failures, and starting and switching probability of the DG. The test network considered is the 102 node meshed distribution network connected to Bus 4 of the Roy Billinton test system. Results prove that load shifting along with dynamic pricing can be used as a viable option to reduce the operational expenses of the network operator." @default.
- W3134738797 created "2021-03-15" @default.
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- W3134738797 date "2021-06-01" @default.
- W3134738797 modified "2023-10-14" @default.
- W3134738797 title "Integrated resource planning for a meshed distribution network under uncertainty" @default.
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- W3134738797 doi "https://doi.org/10.1016/j.epsr.2021.107127" @default.
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