Power Generation Prediction of Residential Photovoltaic Equipment Based on Online Transfer Learning Model- A Case Study of a Residential Solar Power System

2021 ◽  
Author(s):  
Zhichao Yu ◽  
Zichao Yang ◽  
Fiedler Frank ◽  
Hong Rao ◽  
William Wie Song
Author(s):  
Sunimerjit Kaur ◽  
Yadwinder Singh Brar ◽  
Jaspreet Singh Dhillon

In this paper, a multi-objective hydro-thermal-wind-solar power scheduling problem is established and optimized for the Kanyakumari (Tamil Nadu, India) for the 18th of September of 2020. Four contrary constraints are contemplated for this case study (i) fuel cost and employing cost of wind and solar power system, (ii) NOx emission, (iii) SO2 emission, and (iv) CO2 emission. An advanced hybrid simplex method named as-the -constrained simplex method (ACSM) is deployed to solve the offered problem. To formulate this technique three amendments in the usual simplex method (SM) are adopted (i) -level differentiation, (ii) mutations of the worst point, and (iii) the incorporation of multi-simplexes. The fidelity of the projected practice is trailed upon two test systems. The first test system is hinged upon twenty-four-hour power scheduling of a pure thermal power system. The values of total fuel cost and emissions (NOx, SO2, CO2) are attained as 346117.20 Rs, 59325.23 kg, 207672.70 kg, and 561369.20 kg, respectively. In the second test system, two thermal generators are reintegrated with renewable energy resources (RER) based power systems (hydro, wind, and solar system) for the same power demands. The hydro, wind, and solar data are probed with the Glimn-Kirchmayer model, Weibull Distribution Density Factor, and Normal Distribution model, respectively. For this real-time hydro-thermal-wind-solar power scheduling problem the values of fuel cost and emissions (Nox, SO2, CO2) are shortened to 119589.00 Rs, 24262.24 kg, 71753.80 kg, and 196748.20 kg, respectively for the specified interval. The outturns using ACSM are contrasted with the SM and evolutionary method (EM). The values of the operating cost of solar system, wind system, total system transmission losses, and computational time of test system-2 with ACSM, SM, and EM are evaluated as 620497.40 Rs, 1398340.00 Rs, 476.6948 MW & 15.6 seconds; 620559.45 Rs, 1398479.80 Rs, 476.7425 MW & 16.8 seconds; and 621117.68 Rs, 1399737.80 Rs, 477.1715 MW and 17.3 seconds, respectively. The solutions portray the sovereignty of ACSM over the other two methods in the entire process.


Energy Policy ◽  
2013 ◽  
Vol 59 ◽  
pp. 198-212 ◽  
Author(s):  
Diego Malagueta ◽  
Alexandre Szklo ◽  
Bruno Soares Moreira Cesar Borba ◽  
Rafael Soria ◽  
Raymundo Aragão ◽  
...  

2014 ◽  
Vol 686 ◽  
pp. 616-619
Author(s):  
Jun Long Zheng

For solar power generation system based on single-chip microcomputer control application in the unit worker bath problem, this paper introduces the working principle of solar power, including solar power system of power and solar power, solar power conversion Z - source converter, discusses the hardware of solar power generation system, solar power generation of software, including in software discussed, mainly discusses the A/D interrupt of solar power, solar power generation Timer interrupt the functionality of the M PPT and solar power, solar power system for single chip microcomputer control application in the unit worker bath, provides the technical support.


2013 ◽  
Vol 281 ◽  
pp. 554-562 ◽  
Author(s):  
Ting Ting Li ◽  
Guo Qiang Xu ◽  
Yong Kai Quan

Solar energy utilization has met some complicated problems in recent years, like energy storage, solar thermal power generation dispatchability and grid connection etc. The concept of hybrid solar power systems proposed in early researches has extended the conditions of exploiting solar power generation technology,this paper reviews hybrid solar power system technologies in the past 40 years. According to different complementary energy resources, hybrid solar/renewable energy and solar/conventional energy systems have been discussed in this paper. Particularly, this article presents the thermal and economic performances of Integrated Solar Combined Cycle System (ISCCS).


Author(s):  
Richard Perez ◽  
Marc Perez ◽  
Sergey Kivalov ◽  
James Schlemmer ◽  
John Dise ◽  
...  

We introduce firm solar forecasts as a strategy to operate optimally overbuilt solar power plants in conjunction with optimally sized storage systems so as to make up for any power prediction errors, hence entirely remove load balancing uncertainty emanating from grid-connected solar fleets. A central part of this strategy is plant overbuilding that we term implicit storage. We show that strategy, while economically justifiable on its own account, is an effective entry step to least-cost ultra-high solar penetration where firm power generation will be a prerequisite. We demonstrate that in absence of an implicit storage strategy, ultra-high solar penetration would be vastly more expensive. Using the New York Independent System Operator (NYISO) as a case study, we determine current and future cost of firm forecasts for a comprehensive set of scenarios in each ISO electrical region, comparing centralized vs. decentralized production and assessing load flexibility’s impact. We simulate the growth of the strategy from firm forecast to firm power generation. We conclude that ultra-high solar penetration enabled by the present strategy, whereby solar would firmly supply the entire NYISO load, could be achieved locally at electricity production costs comparable to current NYISO wholesale market prices.


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