Price discovery in dynamic power markets with low-voltage distribution-network participants

Ntakou, Elli; Caramanis, Michael C.

doi:10.1109/tdc.2014.6863212

Cited by 25 publications

(45 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…To this end, let z h be a binary variable indicating whether PV inverter h provides ancillary services or not and assume that at most K < |H| PV inverters are allowed to provide ancillary services. Selecting a (possibly time-varying) subset of inverters promotes user fairness [3], prolongs inverter lifetime [3], and captures possible fixed-rate utility-customer pricing/rewarding strategies [2]. Let p c and q c collect the active powers curtailed and the reactive powers injected/absorbed by the inverters.…”

Section: B Centralized Optimization Strategymentioning

confidence: 99%

“…where constraint (2b) is enforced at each node h ∈ H; C(V, p c ) is a given cost function capturing both network-and customer-oriented objectives [2], [11]; and, (2e)-(2f) jointly indicate which inverters have to operate either under OID (i.e.,…”

Section: B Centralized Optimization Strategymentioning

confidence: 99%

“…An alternative problem formulation can be obtained by removing constraint (2f), and adopting the cost C(V, p c ) + λ z h∈H z h in (2a), with λ z ≥ 0 a weighting coefficient utilized to trade off achievable cost C(V, p c ) for the number of controlled inverters. When λ z represents a fixed reward for customers providing ancillary services [2] and C(V, p c ) models costs associated with active power losses and active power set points, OID (2) returns the inverter setpoints that minimize the economic cost incurred by feeder operation.…”

Section: B Centralized Optimization Strategymentioning

confidence: 99%

“…Sufficient conditions for SDR to be successful in OPF-type problems are available for networks that are radial and balanced in [22], [28], whereas the virtues of SDR for unbalanced mediumand low-voltage distribution systems have been demonstrated in [12]. As for the inverter setpoints {(P av h − P c,h , Q c,h )}, those obtained from (4) may be slightly sub-optimal compared to the setpoints that would have been obtained by solving the optimization problem (2). This is mainly due to the socalled "shrinkage effect" introduced by the regularizer (3) [26].…”

Section: B Centralized Optimization Strategymentioning

confidence: 99%

“…of ECE and Digital Technology Center, University of Minnesota, 200 Union Street SE, Minneapolis, MN, USA; e-mails: {emiliano, sdhople, georgios}@umn.edu. B. Johnson is with the National Renewable Energy Laboratory, Golden, CO, USA; e-mail: brian.johnson@nrel.gov in order to facilitate large-scale integration of renewables while ensuring reliable operation of existing distribution feeders [2].…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Decentralized Optimal Dispatch of Photovoltaic Inverters in Residential Distribution Systems

Dall’Anese

Dhople

Johnson

et al. 2014

IEEE Trans. Energy Convers.

127

View full text Add to dashboard Cite

Abstract-Decentralized methods for computing optimal real and reactive power setpoints for residential photovoltaic (PV) inverters are developed in this paper. It is known that conventional PV inverter controllers, which are designed to extract maximum power at unity power factor, cannot address secondary performance objectives such as voltage regulation and network loss minimization. Optimal power flow techniques can be utilized to select which inverters will provide ancillary services, and to compute their optimal real and reactive power setpoints according to well-defined performance criteria and economic objectives. Leveraging advances in sparsity-promoting regularization techniques and semidefinite relaxation, this paper shows how such problems can be solved with reduced computational burden and optimality guarantees. To enable large-scale implementation, a novel algorithmic framework is introduced -based on the so-called alternating direction method of multipliers -by which optimal power flow-type problems in this setting can be systematically decomposed into sub-problems that can be solved in a decentralized fashion by the utility and customer-owned PV systems with limited exchanges of information. Since the computational burden is shared among multiple devices and the requirement of all-to-all communication can be circumvented, the proposed optimization approach scales favorably to large distribution networks.

show abstract

Section: B Centralized Optimization Strategymentioning

confidence: 99%

Section: B Centralized Optimization Strategymentioning

confidence: 99%

Section: B Centralized Optimization Strategymentioning

confidence: 99%

Section: B Centralized Optimization Strategymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Decentralized Optimal Dispatch of Photovoltaic Inverters in Residential Distribution Systems

Dall’Anese

Dhople

Johnson

et al. 2014

IEEE Trans. Energy Convers.

127

View full text Add to dashboard Cite

show abstract

Competitive cross‐voltage level procurement of reactive power considering reliable capacity from wind and photovoltaics

Kaempf

Ernst

Braun

2019

WIREs Energy & Environment

View full text Add to dashboard Cite

Transition toward high shares of power production from wind and photovoltaics (PV) brings about a substantial increase in controllable reactive power (Q). The capability to provide Q independent of active power production (24/7) is available at comparably low or even zero investment cost. Yet, this capability is not required by network connection codes and only rarely utilized, even if available. In a first step, we take an overall economic perspective and review the economic competition of 24/7 Q provision from variable renewable power plants (VRPP) with alternative Q resources. Technical restrictions to be respected are discussed, as well as the reliability requirements related to investment-planning relevant Q provision. Competitiveness is significantly influenced by Q utilization rate and connecting voltage level. For practical implementation of 24/7 Q procurement from VRPP, its value needs to be assessed. We review possible approaches from overall economic perspective. We conclude that in operational decisions, VRPP Q should be valued at marginal cost, whereas in Q investment planning decisions, full cost should be considered. We derive the pros and cons of making 24/7 Q provision a mandatory part of network connection codes. For system operators (SOs) to integrate available capacity, regulatory acknowledgment of related revenue impact should be considered. We present possible solutions. Summarizing, the contribution presents the status quo in research on cross-voltage level, investment-relevant Q provision by VRPP. Using the presented methodology for value assessment, areas for further research are systematically pointed out. competitive, DSO, investment planning, procurement, reactive power, TSO | INTRODUCTIONThe reactive power (Q) procurement problem of system operators (SOs) consists of making available sufficient over-and underexcited Q resources at suitable locations in the electrical power system. We investigate this problem for systems with high share of variable renewable power plants (VRPP) based on wind and photovoltaics (PV). We focus on quasistationary Q provision in onshore systems. Reactive power injected at a specific node of a system influences local voltage. Taking a crossvoltage level approach, this also applies to the interfaces of different voltage levels. For example, the residual of Q from an medium voltage (MV) system will influence the voltage of the high voltage (HV) node it is connected to. Reactive power

show abstract

Some Emerging Challenges in Electricity Markets

Bose

Low

2018

Smart Grid Control

View full text Add to dashboard Cite

Price discovery in dynamic power markets with low-voltage distribution-network participants

Cited by 25 publications

References 14 publications

Decentralized Optimal Dispatch of Photovoltaic Inverters in Residential Distribution Systems

Decentralized Optimal Dispatch of Photovoltaic Inverters in Residential Distribution Systems

Competitive cross‐voltage level procurement of reactive power considering reliable capacity from wind and photovoltaics

Some Emerging Challenges in Electricity Markets

Contact Info

Product

Resources

About