2021
DOI: 10.1016/j.est.2020.102100
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Energy management in unbalanced low voltage distribution networks with microgeneration and storage by using a multi-objective optimization algorithm

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Cited by 16 publications
(4 citation statements)
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“…Addressing all of the possible power quality problems that can arise in DERs can be framed as a complex multi-objective optimisation. In this regard, several authors have proposed hierarchical control schemes based on advanced algorithms for constrained optimisation, such as genetic algorithms (GAs) [6, [34][35][36][37][38][39][40][41][42][43][44][45][46][47][48][49][50][51][91][92][93][94][95][96][98][99][100][101][102][103][104][105][106][107][108][109][110]. However, these are computationally intensive methods that require input data such as line and load parameters, inverter specifications, and information on the constraints and operating costs.…”
Section: Management Of Power Quality Problems (Pq Control)mentioning
confidence: 99%
“…Addressing all of the possible power quality problems that can arise in DERs can be framed as a complex multi-objective optimisation. In this regard, several authors have proposed hierarchical control schemes based on advanced algorithms for constrained optimisation, such as genetic algorithms (GAs) [6, [34][35][36][37][38][39][40][41][42][43][44][45][46][47][48][49][50][51][91][92][93][94][95][96][98][99][100][101][102][103][104][105][106][107][108][109][110]. However, these are computationally intensive methods that require input data such as line and load parameters, inverter specifications, and information on the constraints and operating costs.…”
Section: Management Of Power Quality Problems (Pq Control)mentioning
confidence: 99%
“…In the first category, the uniform objective functions were used with the aim of minimizing the total operation cost [182][183][184], or maximizing the utilization of renewable energy [185]. On the other hand, the second category includes multi-objective optimization functions to improve the technical parameters of the distribution networks [186,187] and decrease environmental pollution [188,189] along with economic analysis.…”
Section: Mathematical Optimization For Scheduling Strategiesmentioning
confidence: 99%
“…Besides, the work in ref. [8] proposed a control approach to minimise the voltage unbalance, voltage deviation, active power losses and PV curtailment in the LV network as a multi‐objective optimisation problem in combination with the Backward/Forward Sweep unbalanced three‐phase power flow algorithm to drive a real‐time energy management system in a network with batteries and a high share of PV. However, similar to ref.…”
Section: Introductionmentioning
confidence: 99%
“…In general terms, the individual or combined analysis of EVs and PVs within a simulation framework are considered either as optimisation problems (e.g. linear [6], non-linear [2,3,7,12] and metaheuristic [5,8]) or deterministic approaches [4,[9][10][11][13][14][15]. However, to the knowledge of the authors, no paper considering a combined testbed for smart EV charging and PV curtailment is not found in the literature.…”
Section: Introductionmentioning
confidence: 99%