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Optimal planning of solar PV and battery storage with energy management systems for Time‐of‐Use and flat electricity tariffs

Authors: Xincheng Pan; Rahmat Khezri; Amin Mahmoudi; SM Muyeen;

Optimal planning of solar PV and battery storage with energy management systems for Time‐of‐Use and flat electricity tariffs

Abstract

AbstractThis paper determines the optimal capacity of solar photovoltaic (PV) and battery energy storage (BES) with novel rule‐based energy management systems (EMSs) under flat and time‐of‐use (ToU) tariffs. Four schemes are investigated based on the combinations of flat and ToU tariffs for buying and selling the electricity: (1) Flat‐Flat, (2) ToU‐Flat, (3) Flat‐ToU, and (4) ToU‐ToU. For each scheme, two configurations are evaluated: (i) PV only, and (ii) PV‐BES. The optimization of the grid‐connected household is evaluated based on one‐year realistic data. An uncertainty analysis is presented based on the variations of insolation, temperature, and load. Sensitivity analyses are implemented based on the average daily load, the grid constraint, and the costs of PV and BES. The operational analyses for 48 h in summer and winter are carried out to evaluate the dynamic performance of the systems for high and low solar insolation. The effectiveness of the proposed model is verified by comparing the results with that of common EMS based on the net metering scheme. It is found that the COE of the proposed EMS for a PV‐BES house with ToU‐Flat scheme (as the best option) is 2 ¢/kWh lower than that of the net metering scheme.

Countries
Australia, Qatar, Qatar
Keywords

electricity tariffs, TJ807-830, 600, solar PV, Time-of-Us, Renewable energy sources, battery energy storage, flat electricity tariffs, energy management systems, solar photovoltaic (PV)

  • BIP!
    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    15
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
15
Top 10%
Top 10%
Top 10%
Green
gold