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Demand side management for solving environment constrained economic dispatch of a microgrid system using hybrid MGWOSCACSA algorithm
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作者 Sourav Basak bishwajit dey Biplab Bhattacharyya 《CAAI Transactions on Intelligence Technology》 SCIE EI 2022年第2期256-267,共12页
Microgrids are a type of restricted power distribution systems in which electricity is generated,transmitted,and distributed within a small geographic region.They are used to ensure that renewable energy sources are u... Microgrids are a type of restricted power distribution systems in which electricity is generated,transmitted,and distributed within a small geographic region.They are used to ensure that renewable energy sources are used to their full potential.Microgrids provide further benefits,such as lowering transmission losses and the expenses associated with them.This research compares and contrasts the aims of economic dispatch,emission dispatch,fractional programing based combined economic emission dispatch,and environmental restricted economic dispatch(ECED).A low-voltage microgrid system is investigated for three different scenarios.As a study optimization tool,an innovative,resilient,and strong hybrid swarm-intelligence optimization algorithm is utilised,which is based on combining the properties of the traditional grey-wolf optimiser,sine-cosine algorithm,and crow search algorithm.The employment of a time-of-use energy mar-ket pricing approach instead of a fixed pricing plan resulted in a 15%decrease in gen-eration costs throughout the course of the research.When ECED was assessed with a 15%-20%demand side management based restructured load demand model for the microgrid system,the generation costs were reduced even further. 展开更多
关键词 demand side management energy management MGWOSCACSA MICROGRID
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Modified branch-and-bound algorithm for unravelling optimal PMU placement problem for power grid observability: A comparative analysis
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作者 Rohit Babu Saurav Raj +1 位作者 bishwajit dey Biplab Bhattacharyya 《CAAI Transactions on Intelligence Technology》 EI 2021年第4期450-470,共21页
Safe operation of the power grid requires a complete and robust control network to ensure full observability;However,redundancy measurements can create problems in expense,management,and control.The optimal phasor mea... Safe operation of the power grid requires a complete and robust control network to ensure full observability;However,redundancy measurements can create problems in expense,management,and control.The optimal phasor measurement unit(PMU)positioning problem(OPPP)is proposed to limit the number of PMUs deployed in the power grid and ensure the whole grid's observability in the meantime.A modified branch-and-bound algorithm(MBBA)to unravel the OPPP is presented.Original BBA,which uses a single search order to create a binary tree,gives only one solution to the OPPR although more than one optimal solution exists.The proposed MBBA method consists of two different stages:the vertexes in the search tree are investigated by depth-first search(DFS)in stage 1,and the search route continues as the breadth-first search.In stage 1,the LP relaxing problems are solved by dual simplex,and in stage 2,the basic viable solution from stage 1 is used to configure the primary simplex until the optimum solution is found.OPPP is formulated as a binary decision variable MBBA model,minimizing linear objective function subject to linear matrix observability constraints.The MBBA model is unravelled using a linear integer-based external approximation scheme.IEEE test systems are used to check the feasibility of the proposed approach.Matlab software performs simulation based on a number of graph theory-based methods such as DFS,graph-theoretical method,simulated annealing,and recursive N-algorithms.These algorithms are compared to the algorithmic perspective of the proposed MBBA method.IEEE test network results confirm the validity of the proposed methodology. 展开更多
关键词 OPTIMAL branch OBSERVABILITY
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