Probabilistic Assessment of Impact of Flexible Loads Under Network Tariffs in Low-voltage Distribution Networks
| Autor: | Gregor Verbic, Donald Azuatalam, Archie C. Chapman |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
low-voltage network
TK1001-1841 Mathematical optimization Schedule demand-based tariff Renewable Energy Sustainability and the Environment business.industry Computer science distributed energy resource (DER) Probabilistic logic TJ807-830 Energy Engineering and Power Technology Context (language use) Renewable energy sources Energy management system Production of electric energy or power. Powerplants. Central stations Test case Peak demand Distributed generation home energy management system (HEMS) Network performance business Battery energy storage system solar photovoltaic (PV) |
| Zdroj: | Journal of Modern Power Systems and Clean Energy, Vol 9, Iss 4, Pp 951-962 (2021) |
| ISSN: | 2196-5625 |
| DOI: | 10.35833/mpce.2019.000136 |
| Popis: | 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 DER-specific 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. |
| Databáze: | OpenAIRE |
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