Demand load control with smart meters

Jasevics, Aivo; Zemite, L.; Kuņickis, Māris

doi:10.1109/rtucon.2017.8124757

Cited by 10 publications

(13 citation statements)

References 8 publications

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“…Consumers' bills contain components paid to finance the operating costs of the power system: This tariff is only possible with smart meters [23]. If the prosumer generates a smaller amount of electricity than it consumes (over a month), then, according to the NS, the prosumer's bill contains the FV and the VP, which includes only payment for the difference between the amount of energy received from the grid and the amount of energy submitted to the grid.…”

Section: Evaluation Of the Economic Benefit From Support Schemesmentioning

confidence: 99%

“…The NAS does not respect the production/consumption time and market value of the energy produced or consumed. The NAS [16], which is currently in place in many countries, disregards the prices of the submitted and received energy [23]. The energy surplus is measured in units of energy (kWh), and when electricity production exceeds consumption, it is submitted to the network; otherwise, it can be returned from the network.…”

Section: Introductionmentioning

confidence: 99%

“…Support of this kind is applied to almost half of all the energy generated and is included in the bills of all the consumers. The high level of the FiT in Latvia (approximately 35% of the bill for the end users [23]), is causing discontent among the public, which means that it is impossible to further increase the FiT. The NAS is applied to microgenerators [16].…”

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confidence: 99%

“…However, as far as we know, no assessment of the joint effect of load, solar activity, market price profiles, and the rules for the formation of consumers' accounts on their financial efficiency has been conducted. This problem becomes particularly acute in the case of using smart metering data [23], making it necessary in this case to take into account not only the volume of generation and consumption but also the cost. To solve this problem, we use an algorithm based on the adoption of the hypothesis of stationarity of input processes, big data collected in Latvia, the long-term prediction of the realisation of processes, and a detailed billing model for the energy used.…”

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confidence: 99%

“…The market component (MC) is equal to the day-ahead hourly price of the electricity market (for example, Nord Pool) [23,28].…”

mentioning

confidence: 99%

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Estimating the Economic Impacts of Net Metering Schemes for Residential PV Systems with Profiling of Power Demand, Generation, and Market Prices

et al. 2018

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This article analyses the influence of supporting scheme variants on the profitability of a projected investment of residential photovoltaic systems. The focus of the paper lies in evaluating the feasibility for the power system of solar power generation technologies to achieve a balance between energy generation and support costs in a more efficient way. The case study is based on a year-long time series of examples with an hourly resolution of electricity prices from the Nord Pool power market, in addition to the power demand and solar generation of Latvian prosumers. Electric energy generation and the consumption of big data from more than 100 clients were collected. Based on these data, we predict the processes for the next 25 years, and we estimate economic indicators using a detailed description of the net metering billing system and the Monte-Carlo method. A recommendation to change the current net system to a superior one, taking into account the market cost of energy, concludes the paper.

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Section: Evaluation Of the Economic Benefit From Support Schemesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

mentioning

confidence: 99%

“…The market component (MC) is equal to the day-ahead hourly price of the electricity market (for example, Nord Pool) [23,28].…”

mentioning

confidence: 99%