A Dynamic Operational Scheme for Residential PV Smart Inverters

Malekpour, Ahmad; Pahwa, Anil

doi:10.1109/tsg.2016.2521367

Cited by 68 publications

(30 citation statements)

References 21 publications

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“…1(a). This approach is in complete compliance with the previous version of IEEE Standard 1547 and UL1741, which specifies that distributed resources shall not actively regulate voltage at the point of common coupling (PCC) [16], [25], [26].…”

Section: A Unity Power Factor Methodsmentioning

confidence: 89%

“…There are many papers focusing on reactive power control, and the control strategies are summarized in this section. Some commonly used reactive power control strategies included unity power factor method [14]- [16], active power-dependent method [16], [17], Q(V) control [18], [19], Q(V)/P(V) control [20], [21], 2-quadrant P-Q planemethod [22]- [24], etc. A detailed analysis is shown as below.…”

Section: Reactive Power Controlmentioning

confidence: 99%

“…Fig. 3 illustrates inverter operation in a 2-quadrant P-Q plane, where the inverter can generate either inductive or capacitive reactive power at different voltage levels [22]- [24]. The feasible operating space is enclosed by the triangular-shaded area that represents the total power factor limit and inverter rating curve.…”

Section: Q(v)/p(v) Controlmentioning

confidence: 99%

See 2 more Smart Citations

Power System Support Functions Provided by Smart Inverters—A Review

Zhao¹,

Chang²,

Shao³

et al. 2018

CPSS TPEA

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Renewable energy is seen as a viable alternative to traditional energy sources, and distributed generation (DG) based on renewable energy sources has experienced rapid growth worldwide. High penetration of renewable energy based DG systems makes the grid more vulnerable, and stricter standards have been issued for grid interconnection of DG systems. DG systems are expected to be controllable with high flexibility and reliability. Provision of grid support functions and ancillary services, such as reactive power control, fault ride-through and harmonic compensation, is the key to attaining higher utilization of DG. Such functionalities are implemented in new generation smart inverters, which can contribute to the reduced cost of energy and need for additional system resources. The state-of-the-art power system support functions are summarized in this paper for the purpose of enhancing operation in low-voltage networks. Experimental results are given to better understand the implementation of the functions.Index Terms-Fault ride-through, harmonic compensation, power system support functions, reactive power control, smart inverters.

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Section: A Unity Power Factor Methodsmentioning

confidence: 89%

Section: Reactive Power Controlmentioning

confidence: 99%

See 1 more Smart Citation

Power System Support Functions Provided by Smart Inverters—A Review

Zhao¹,

Chang²,

Shao³

et al. 2018

CPSS TPEA

View full text Add to dashboard Cite

show abstract

“…Where adaptive parameters q p i and m p i are constant for the time horizon T . Using the stability analysis performed in Section II, a sufficient convergence criteria for (27) can be derived which is same as given by condition (9) and remark 1, i.e. m p i < m c i .…”

Section: Convergence Of the Proposed Local Adaptivementioning

confidence: 99%

Real-Time Local Volt/Var Control Under External Disturbances With High PV Penetration

Singhal

Ajjarapu

Fuller

et al. 2019

IEEE Trans. Smart Grid

114

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Volt/var control (VVC) of smart PV inverter is becoming one of the most popular solutions to address the voltage challenges associated with high PV penetration. This work focuses on the local droop VVC recommended by the grid integration standards IEEE1547, rule21 and addresses their major challenges i.e. appropriate parameters selection under changing conditions, and the control being vulnerable to instability (or voltage oscillations) and significant steady state error (SSE). This is achieved by proposing a two-layer local real-time adaptive VVC that has two major features i.e. a) it is able to ensure both low SSE and control stability simultaneously without compromising either; and b) it dynamically adapts its parameters to ensure good performance in a wide range of external disturbances such as sudden cloud cover, cloud intermittency, and substation voltage changes. A theoretical analysis and convergence proof of the proposed control is also discussed. The proposed control is implementation friendly as it fits well within the integration standard framework and depends only on the local bus information. The performance is compared with the existing droop VVC methods in several scenarios on a large unbalanced 3-phase feeder with detailed secondary side modeling.

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“…Note that it is assumed that homes are furnished with smart meters, and in case of sellers, also inverters [25], [26]. They are also capable of communicating their reactive power supply/demand to/from the aggregators at the end of each ALA.…”

Section: A Distribution System Constraintsmentioning

confidence: 99%

Distributed Bilevel Energy Allocation Mechanism With Grid Constraints and Hidden User Information

Faqiry

Das

2019

IEEE Trans. Smart Grid

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Abstract-A novel distributed energy allocation mechanism for distribution system operator (DSO) market through a bilevel iterative auction is proposed. With the locational marginal price known at the substation node, the DSO runs an upper level auction with aggregators as intermediate agents competing for energy. This DSO level auction takes into account physical grid constraints such as line flows, transformer capacities and node voltage limits. This auction mechanism is a straightforward implementation of projected gradient descent on the social welfare (SW) of all home level agents. Aggregators, which serve home level agents -both buyers and sellers, implement lower level auctions in parallel, through proportional allocation of power, until market equilibrium is established. This is accomplished without asking for the agents' utility functions and generation capacities that are considered private information. The overall bilevel auction is shown to be globally efficient and weakly budget balanced.Index Terms-distribution system; agents; trading; auction; bid; social welfare I. INTRODUCTION HE proliferation of renewable energy resources (RES) at the distribution level is reshaping the market structure of distribution system operators (DSO). The electricity sector has devolved from a highly regulated system operated by vertically integrated utilities to a relatively decentralized system based more fully on market valuation and allocation mechanisms [1]. A RES owner with a surplus of energy is anticipated to participate in such mechanisms more strategically while seeking profit [2], [3]. Specifically, it sells energy with the objective of maximizing its payoff, i.e. the sum of the monetary gain from supplying an amount of energy and utility it gains from retaining any surplus energy that is not traded. In a similar manner, the payoff of an energy consumer, i.e. a buyer, is the difference between its utility gained from consuming energy and the cost of procuring that energy.DSOs on the other hand, are expected to leverage the available local resources in order to capture additional value by optimizing the system for least cost operation while maintaining the physical system operation constraints [4]. One of the key challenges for efficient energy distribution mechanisms is its design to motivate active participation of customers [5]. Without their participation, the benefits of smart grid is not fully realized [6]. Therefore, suitable mechanisms for it to operate effectively within its physical constraints, while incentivizing customer participation, are needed.The existing literature on the energy grid focuses mostly on pricing based on the distribution locational marginal price (DLMP) that is defined as the marginal cost of serving the next increment of the electrical demand at a distribution node. DLMP is typically determined in a centralized fashion by the Lagrange multiplier of the distribution node energy balance constraint [7]-[12]. It has been shown in [13] that introducing price responsive customers caus...

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A Dynamic Operational Scheme for Residential PV Smart Inverters

Cited by 68 publications

References 21 publications

Power System Support Functions Provided by Smart Inverters—A Review

Power System Support Functions Provided by Smart Inverters—A Review

Real-Time Local Volt/Var Control Under External Disturbances With High PV Penetration

Distributed Bilevel Energy Allocation Mechanism With Grid Constraints and Hidden User Information

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