Robust Optimization Based Optimal DG Placement in Microgrids

By Zhaoyu Wang, Bokan Chen, Jianhui Wang, Jinho Kim, Miroslav M. Begovic. IEEE Transactions on Smart Grid, 2014

352 citations recorded by the source corpus.

Subfields: Control and Systems Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/81177ef5b07a5313345d8d8e769032107394d4a0

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In Control and Systems Engineering

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Citations in the corpus

Strategic Bidding for a Virtual Power Plant in the Day-Ahead and Real-Time Markets: A Price-Taker Robust Optimization Approach (2016, methodology): “RO has been used for solving a variety of profit-maximization problems such as distributed generation investment [13] and energy consumption scheduling [14] in electricity markets, as well as portfolio management [15] in financial markets.”
Decentralized Energy Management System for Networked Microgrids in Grid-Connected and Islanded Modes (2016, background): “MGs can be considered as intelligent distribution systems with two different modes of operation: the islanded mode and the grid-connected mode [1], [2].”
Stochastic DG Placement for Conservation Voltage Reduction Based on Multiple Replications Procedure (2015, background): “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].”
Robust Optimization-Based Resilient Distribution Network Planning Against Natural Disasters (2016, methodology): “Previous literature on DG placement assumes that if a DG unit is placed at a node n, this DG unit can supply power to node n and the child branches of node n in the radial tree network [17].”
Data-Driven DG Capacity Assessment Method for Active Distribution Networks (2017, neutral): “robust optimization (RO) [14, 15].”
Networked Microgrids for Self-Healing Power Systems (2016, background): “Many studies have been made in the literature on various topics of MGs, such as planning [10], [11], energy management [1], [2], [4], [12]–[14], and service restoration [3], [15].”
Resilience Enhancement Strategy for Distribution Systems Under Extreme Weather Events (2018, methodology): “Constraints (19)-(20) and (23)-(24) are linearized DistFlow equations which have been widely used to calculate the complex power flow and voltage profile in problems such as DG placement, service restoration, system operation, and planning of distribution systems [17-20].”
A mixed integer linear programming approach for optimal DER portfolio, sizing, and placement in multi-energy microgrids (2017, background): “Similarly, some 157 microgrid design formulations [17],[18] only tackle electrical energy, neglecting heating and cooling 158 energy uses.”