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

作　　者：Donald Azuatalam Archie C.Chapman Gregor Verbic 

机构地区：[1]School of Electrical and Information Engineering,The University of Sydney,Sydney,New South Wales,Australia

出　　处：《Journal of Modern Power Systems and Clean Energy》2021年第4期951-962,共12页现代电力系统与清洁能源学报（英文）

摘　　要：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.

关 键 词：Battery energy storage system demand-based tariff distributed energy resource(DER) home energy management system(HEMS) low-voltage network solar photovoltaic(PV) thermostatically controlled load 

分 类 号：TM73[电气工程—电力系统及自动化]