NDLI: Optimal power dispatch considering load and renewable generation uncertainties in an AC

Content Provider	IET Digital Library
Author	Maulik, Avirup Das, Debapriya
Abstract	An AC–DC hybrid microgrid is gradually becoming popular. For economic viability and environmental sustainability, an AC–DC microgrid should be operated optimally. This study introduces an optimal power dispatch strategy for simultaneous reduction of cost and emission from generation activities in an AC–DC hybrid microgrid under load and generation uncertainties. The operational attributes of an AC–DC hybrid microgrid, and load and renewable generation uncertainties are incorporated in the optimal scheduling problem by using a customised power-flow technique, and by modelling uncertainties by Hong's two-point estimate method, respectively. The economic and environmental objectives are modelled in the fuzzy domain by fuzzy membership functions. A combination of particle swarm optimisation and fuzzy max–min technique is then employed for obtaining the optimal solution. The static active power droop constants of the dispatchable units are the control variables. Simulation results on a 6-bus AC–DC hybrid microgrid system demonstrate that optimal scheduling results in 4.26% reduction of operating cost and 13.91% reduction of emission in comparison to capacity based droop settings. Further, a comparison between the proposed method and the elitist multi-objective GA indicates that the optimised solution lies on the Pareto-front, thereby validating the proposed technique.
Starting Page	1164
Ending Page	1176
Page Count	13
ISSN	17518687
Volume Number	13
e-ISSN	17518695
Issue Number	Issue 7, Apr (2019)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-gtd/13/7
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-gtd.2018.6502
Journal	IET Generation, Transmission & Distribution
Publisher Date	2019-01-03
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	6-bus AC–DC Hybrid Microgrid System AC–DC Microgrid Combinatorial Mathematics Cost Reduction Customised Power-flow Technique Distributed Power Generation Emission Reduction Fuzzy Domain Fuzzy Max–min Technique Fuzzy Membership Function Fuzzy Set Theory Generation Activities Genetic Algorithm Multiobjective GA Optimal Power Dispatch Strategy Optimal Scheduling Problem Optimisation Technique Pareto-front Particle Swarm Optimisation Power Generation Control Power Generation Dispatch Power Generation Scheduling Power System Economics Power System Managemen Power System Operation Renewable Generation Uncertainties Two-point Estimate Method
Content Type	Text
Resource Type	Article
Subject	Control and Systems Engineering Energy Engineering and Power Technology Electrical and Electronic Engineering

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