Impacts of network tariffs on distribution network power flows

Azuatalam, Donald; Verbič, Gregor; Chapman, Archie C.

doi:10.1109/aupec.2017.8282380

Cited by 9 publications

(14 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Given this background, this paper extends our preliminary results [20] to address two main problems.…”

supporting

confidence: 54%

“…In this way, we retain the computational efficiency of the MILP approach by avoiding the computationally expensive min-max formulation [19] that models the peak demand explicitly. We have built on our earlier work in [20] by including EWHs as part of the HEMS formulation, since they account for a considerable portion of energy consumption in Australia and can affect peak loading [21].…”

mentioning

confidence: 99%

See 1 more Smart Citation

Probabilistic Assessment of Impact of Flexible Loads Under Network Tariffs in Low-voltage Distribution Networks

Azuatalam

Chapman

2021

Journal of Modern Power Systems and Clean Energy

Self Cite

View full text Add to dashboard Cite

Given the historically static nature of low-voltage networks, distribution network companies do not possess the tools for dealing with an increasingly variable demand due to the high penetration of distributed energy resources (DERs). Within this context, this paper proposes a probabilistic framework for tariff design that minimises the impact of DER on network performance, stabilises the revenue of network company, and improves the equity of network cost allocation. To deal with the lack of customers' ' response, we also show how DERspecific tariffs can be complemented with an automated home energy management system (HEMS) that reduces peak demand while retaining the desired comfort level. The proposed framework comprises a nonparametric Bayesian model which statistically generates synthetic load and PV traces, a hot-water-use statistical model, a novel HEMS to schedule customers' ' controllable devices, and a probabilistic power flow model. Test cases using both energy-and demand-based network tariffs show that flat tariffs with a peak demand component reduce the customers' ' cost, and alleviate network constraints. This demonstrates, firstly, the efficacy of the proposed tool for the development of tariffs that are beneficial for the networks with a high penetration of DERs, and secondly, how customers' ' HEM systems can be part of the solution.

show abstract

“…Given this background, this paper extends our preliminary results [20] to address two main problems.…”

supporting

confidence: 54%

mentioning

confidence: 99%

Probabilistic Assessment of Impact of Flexible Loads Under Network Tariffs in Low-voltage Distribution Networks

Azuatalam

Chapman

2021

Journal of Modern Power Systems and Clean Energy

Self Cite

View full text Add to dashboard Cite

show abstract

“…We evaluate three algorithms regarding their profitability and impact on battery degradation: first, a selfconsumption maximization (SCM) approach, 47 which charges the battery as soon as the PV power exceeds the household demand; second, a mixed integer linear programming (MILP)Űbased algorithm by Azuatalam et al 48 with the approach to minimize electricity cost, given known fixed tariff prices, and load and PV generation forecasts over a decision horizon. Its objective function is given by…”

Section: Methodsmentioning

confidence: 99%

“…The first one assumes a constant electricity price of 33.627 AUDc/kWh, which is equal to the average retail price for the representative customer in NSW 39 and a feed-in tariff of 7.65 AUDc/kWh. 34 Since ToU tariffs are said to perform better in terms of electricity cost reduction, 48 we also compare the three strategies under a ToU tariff setting with retail charges as shown in Table 5. The feed-in tariff for ToU is the same as for the flat-rate charge.…”

Section: Methodsmentioning

confidence: 99%

Assessment of residential battery storage systems and operation strategies considering battery aging

et al. 2019

Self Cite

View full text Add to dashboard Cite

With the increasing popularity of combining residential photovoltaic systems with battery storages, research, industry, and customers look for ways to determine if such an investment is economically profitable. Simulation programs may serve to predict the profitability and lifetime of the system. In this paper, we use techno-economic analysis with a specific account of battery degradation to determine profitability and lifetime of a residential photovoltaic (PV) battery system under different energy management and tariff regimes. This work presents two case studies: the first being a techno-economic comparison for a residential PV-battery system in New South Wales, Australia and Germany, and the second analyzing the profitability and degradation impact of three different operation strategies for a battery storage in Australia. The results reveal that site-specific conditions (i.e., geographical and energy-economic constraints) may have a significant impact on the ideal system configuration and ultimately the anticipated battery lifetime. Furthermore, statistical analysis of different storage operation strategies applied to various prosumer load and generation profiles reveals the effects of storage dispatch strategies on battery aging.

show abstract

“…end for 28: end for MILP, which implies that the stochasticity of the energy management problem has been neglected and this results in a lower quality solution. The full details of this optimisation problem can be found in [130]. It is worth mentioning that the battery SOC transition equation (in constraint 2) has been linearised.…”

Section: Import Remainder 22mentioning

confidence: 99%

Energy management of small-scale PV-battery systems: A systematic review considering practical implementation, computational requirements, quality of input data and battery degradation

Azuatalam

Paridari

et al. 2019

Renewable and Sustainable Energy Reviews

Self Cite

View full text Add to dashboard Cite

The home energy management problem has many different facets, including economic viability, data uncertainty and quality of strategy employed. The existing literature in this area focuses on individual aspects of this problem without a detailed, holistic analysis of the results with regards to practicality in implementation. In this paper, we fill this gap by performing a comprehensive comparison of seven different energy management strategies, each with different levels of practicality, sophistication and computational requirements. We analyse the results in the context of these three characteristics, and also critique the modelling assumptions made by each strategy. Our analysis finds that using a more sophisticated energy management strategy may not necessarily improve the performance and economic viability of the PV-battery system due to the effects of modeling assumptions, such as the treatment of uncertainties in the input data and battery degradation effects.

show abstract

Impacts of network tariffs on distribution network power flows

Cited by 9 publications

References 5 publications

Probabilistic Assessment of Impact of Flexible Loads Under Network Tariffs in Low-voltage Distribution Networks

Probabilistic Assessment of Impact of Flexible Loads Under Network Tariffs in Low-voltage Distribution Networks

Assessment of residential battery storage systems and operation strategies considering battery aging

Energy management of small-scale PV-battery systems: A systematic review considering practical implementation, computational requirements, quality of input data and battery degradation

Contact Info

Product

Resources

About