Multiobjective Optimization for DG Planning With Load Models

By Deependra Singh, Devender Singh, K. Verma. IEEE Transactions on Power Systems, 2009

552 citations recorded by the source corpus.

Subfields: Control and Systems Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/5eebe64c1ed81b60ba12d922e22204845c37b093

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In Control and Systems Engineering

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Citations in the corpus

Optimal size and siting of multiple distributed generators in distribution system using bacterial foraging optimization (2014, background): “Power loss index (ΔPLDG) [16] is the ratio of total power loss with DG to the total power loss without DG and is written as”
Multiple Distributed Generator Placement in Primary Distribution Networks for Loss Reduction (2013, background): “Loss reduction is, therefore, the most important factor to be considered in the planning and operation of DG [19], [20].”
Stochastic DG Placement for Conservation Voltage Reduction Based on Multiple Replications Procedure (2015, methodology): “A variety of objectives has been investigated in the literature, such as loss reduction [10], voltage improvement [11], reliability improvement [12], stability enhancement [13], and economic considerations [14].”
A distribution network expansion planning model considering distributed generation options and techo-economical issues (2010, background): “One way of treating with multi-objective problems is converting them into a single objective model [16, 17, 13, 6].”
Robust Optimization Based Optimal DG Placement in Microgrids (2014, methodology): “The study in [4] applied Genetic algorithm (GA) to determine the sizes and locations of DGs considering exponential load models.”
A mixed integer linear programming approach for optimal DER portfolio, sizing, and placement in multi-energy microgrids (2017, background): “Electricity Heating Cooling Capacity Constraints Voltage Constraints (Power Flow Equations) Capacity Constraints [14] × × × [15] × × × [16] × × × [17] × × × [18] × × × [19] × × [20] × × [21] × × [22] × × × [23] × × × [24] × × × [25] × × × × [26] × × × × [27] × × × × [28] × × × × [29] × × × × × [30] ”
Optimal Placement and Sizing of Distributed Generation via an Improved Nondominated Sorting Genetic Algorithm II (2015, methodology): “with different load models was presented in [16].”