2016 Power Systems Computation Conference (PSCC) 2016
DOI: 10.1109/pscc.2016.7540850
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Optimal sizing and placement of distributed storage in low voltage networks

Abstract: Abstract-This paper proposes a novel algorithm to optimally size and place storage in low voltage (LV) networks based on a linearized multiperiod optimal power flow method which we call forward backward sweep optimal power flow (FBS-OPF). We show that this method has good convergence properties, its solution deviates slightly from the optimum and makes the storage sizing and placement problem tractable for longer investment horizons. We demonstrate the usefulness of our method by assessing the economic viabili… Show more

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Cited by 59 publications
(65 citation statements)
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“…These can be classified as centralised approaches based on Optimal Power Flow (OPF) [1]- [4], distributed [5], or local [6], each requiring different levels of communication infrastructure. Typical objectives used in these methods include minimizing active power curtailment of renewables [3] and network losses [2], while satisfying power quality constraints in terms of voltages limits and thermal loading of the branches.…”
Section: Motivationmentioning
confidence: 99%
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“…These can be classified as centralised approaches based on Optimal Power Flow (OPF) [1]- [4], distributed [5], or local [6], each requiring different levels of communication infrastructure. Typical objectives used in these methods include minimizing active power curtailment of renewables [3] and network losses [2], while satisfying power quality constraints in terms of voltages limits and thermal loading of the branches.…”
Section: Motivationmentioning
confidence: 99%
“…First, we present a centralised controller based on a multi-period OPF formulation that extends the work in [1]- [3] to optimise the operation of three-phase unbalanced DNs. We extend the OPF formulation to three-phase systems and include additional power quality (phase balancing) constraints to the original formulation.…”
Section: Motivationmentioning
confidence: 99%
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