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== PV Duck curve ==Abstract: Solar energy generated by the sun is mostly in the daytime. However at the end of the day when solar energy decreases the demand increases. To fulfil this demand for energy, non-renewable energy resources increase the load on the non-renewable energy resources. The increase in load demand causes a spike in energy resources which increases the power generation cost. We have proposed load shifting method which uses smart home-based technology to reduce the effect of the duck curve.

Literature review: Investigation of Daytime Peak Loads to Improve the Power Generation Costs of Solar-Integrated Power Systems : This study discuss the effect of varying day time loads on the cost of power generation. Different load profiles used under different solar envniornment in this system. The results revealed that the changing load profile can decrease the power generation cost.

Improving Duck Curve Profile, Enabling Peakshaving and Increasing Self-sufficiency by Properly Designing Community Solar Projects: This paper proposed the community setup of the solar system which use the batteries to meet the peak load demand of the energy.Batteries are installed in the system to store the power at the peak of the day which can be utilized at night.It ensure the peak shaving which helps in mitigating the effect caused by the duck curve.

Impact of High Renewable Penetration on the Power System Operation Mode: A Data-Driven Approach This paper examine the use of more renewable energy resources on the power system grid. Author use a method which analyse the effect of large amount of data for high energy power systems which increase the varibality in the power system causing more predictable and challeging.Use of batteries can decrease the challeges caused due to variablity.

Methodology:

A simulation study conducted in a System Advisor Model(SAM) and using the residential system. We have considered a one story buiding of a smart house.The load profile of the system is obtained from the SAM using [].

Load Shifting Appliances:

Load shifting of thhe appliances is shifting the load of some appliances from the peak load to the time of day when load is high. For this the initial load profile is obtained from the exisiting data of the five cities in US. Different load profiles are created by shifting the load data for each appliances.

The load demand is shifted to reflect the changes in the load profile as shown n equation 1.

${\displaystyle P_{DR,t}=P_{D,t}+lt}$ (1)

${\displaystyle P_{DR,t}}$ is the load demand after shifting the load. Whereas, ${\displaystyle P_{D,t}}$ denotes the initial load demand and lt​ represents the sifted loa of each appliances during the time interval t.

Hira Tauqeer (talk) 15:32, 22 July 2024 (UTC)Reply[reply]