Optimal inverter VAR control in distribution systems with high PV penetration

Farivar, Masoud; Neal, Russell; Clarke, Christopher R.; Low, Steven H.

doi:10.1109/pesgm.2012.6345736

Cited by 298 publications

(225 citation statements)

References 7 publications

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“…Note that the voltage constraint we consider is taken directly from the network tolerance specifications, and is 3%. The number of violations in our simulations are consistent with previous work on these networks, e.g., [14,15]. The presence of storage or the data center is used to help avoid such violations.…”

Section: Setupsupporting

confidence: 84%

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Pricing data center demand response

LiuZhenhua

LiuIris

LowSteven

et al. 2014

SIGMETRICS Perform. Eval. Rev.

102

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Demand response is crucial for the incorporation of renewable energy into the grid. In this paper, we focus on a particularly promising industry for demand response: data centers. We use simulations to show that, not only are data centers large loads, but they can provide as much (or possibly more) flexibility as large-scale storage if given the proper incentives. However, due to the market power most data centers maintain, it is difficult to design programs that are efficient for data center demand response. To that end, we propose that prediction-based pricing is an appealing market design, and show that it outperforms more traditional supply function bidding mechanisms in situations where market power is an issue. However, prediction-based pricing may be inefficient when predictions are inaccurate, and so we provide analytic, worst-case bounds on the impact of prediction error on the efficiency of prediction-based pricing. These bounds hold even when network constraints are considered, and highlight that prediction-based pricing is surprisingly robust to prediction error.

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Section: Setupsupporting

confidence: 84%

“…The first is a 47 bus network ( Figure 1) and the second is a 56 bus network (Figure 2). Both are described in detail in [15].…”

Section: Setupmentioning

confidence: 99%

Pricing data center demand response

LiuZhenhua

LiuIris

LowSteven

et al. 2014

SIGMETRICS Perform. Eval. Rev.

102

View full text Add to dashboard Cite

show abstract

“…[8], an OPF formulation with the objective to minimize the market value of the curtailed energy of embedded wind generation is proposed. Other objectives include minimizing the voltage profile deviation from a reference [9], the transformer tap changer switching [10], or the network losses [11], [12]. Ref.…”

Section: A Literature Reviewmentioning

confidence: 99%

Active Management of Low-Voltage Networks for Mitigating Overvoltages Due to Photovoltaic Units

Frédéric

Aristidou

Ernst

et al. 2016

IEEE Trans. Smart Grid

286

164

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Abstract-In this paper, the overvoltage problems that might arise from the integration of photovoltaic panels into low-voltage distribution networks is addressed. A distributed scheme is proposed that adjusts the reactive and active power output of inverters to prevent or alleviate such problems. The proposed scheme is model-free and makes use of limited communication between the controllers, in the form of a distress signal, only during emergency conditions. It prioritizes the use of reactive power, while active power curtailment is performed only as a last resort. The behavior of the scheme is studied using dynamic simulations on a single low-voltage feeder and on a larger network composed of 14 low-voltage feeders. Its performance is compared to a centralized scheme based on the solution of an Optimal Power Flow problem, whose objective function is to minimize the active power curtailment. The proposed scheme successfully mitigates overvoltage situations due to high photovoltaic penetration and performs almost as well as the Optimal Power Flow based solution with significantly less information and communication requirements.Index Terms-low-voltage photovoltaic systems, active distribution network management, voltage control

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“…The adjustment is detailed in the extended version of this paper [16]. We also consider two practical networks of SCE, a 47-bus network [9] and a 56-bus network [24].…”

Section: A Test Distribution Networkmentioning

confidence: 99%

Exact convex relaxation for optimal power flow in distribution networks

Gan

Topcu

et al. 2013

SIGMETRICS Perform. Eval. Rev.

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Abstract-The optimal power flow (OPF) problem seeks to control the generation/consumption of generators/loads to optimize certain objectives such as to minimize the generation cost or power loss in the network. It is becoming increasingly important for distribution networks due to the emerging distributed generation and controllable loads. In this paper, we study the OPF problem in distribution networks. In particular, OPF is nonconvex and we study solving it through convex relaxations. We prove that after a "small" modification to the OPF problem, the solution to its second-order-cone programming (SOCP) relaxation is the global optimum of OPF, under a "mild" condition that can be checked prior to solving the relaxation. Empirical studies justify that the modification to OPF is "small" and that the "mild" condition holds for all test distribution networks, including the IEEE 13-bus test distribution network and practical distribution networks with high penetration of distributed generation.

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Optimal inverter VAR control in distribution systems with high PV penetration

Cited by 298 publications

References 7 publications

Pricing data center demand response

Pricing data center demand response

Active Management of Low-Voltage Networks for Mitigating Overvoltages Due to Photovoltaic Units

Exact convex relaxation for optimal power flow in distribution networks

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