What prospects for photovoltaic generators?

1980 ◽  
Vol 26 (8) ◽  
pp. 631 ◽  
Author(s):  
Israel Berkovitch
Keyword(s):  
Photovoltaic Generators

scholarly journals Prosumer Community Portfolio Optimization via Aggregator: The Case of the Iberian Electricity Market and Portuguese Retail Market

Energies ◽  
2021 ◽  
Vol 14 (13) ◽  
pp. 3747
Author(s):  
Ricardo Faia ◽  
Tiago Pinto ◽  
Zita Vale ◽  
Juan Manuel Corchado
Keyword(s):  
Portfolio Optimization ◽  
Electricity Markets ◽  
Electricity Market ◽  
Retail Market ◽  
Wholesale Market ◽  
Generation Capacity ◽  
Wholesale Electricity Market ◽  
Portfolio Optimization Model ◽  
Photovoltaic Generators

The participation of household prosumers in wholesale electricity markets is very limited, considering the minimum participation limit imposed by most market participation rules. The generation capacity of households has been increasing since the installation of distributed generation from renewable sources in their facilities brings advantages for themselves and the system. Due to the growth of self-consumption, network operators have been putting aside the purchase of electricity from households, and there has been a reduction in the price of these transactions. This paper proposes an innovative model that uses the aggregation of households to reach the minimum limits of electricity volume needed to participate in the wholesale market. In this way, the Aggregator represents the community of households in market sales and purchases. An electricity transactions portfolio optimization model is proposed to enable the Aggregator reaching the decisions on which markets to participate to maximize the market negotiation outcomes, considering the day-ahead market, intra-day market, and retail market. A case study is presented, considering the Iberian wholesale electricity market and the Portuguese retail market. A community of 50 prosumers equipped with photovoltaic generators and individual storage systems is used to carry out the experiments. A cost reduction of 6–11% is achieved when the community of households buys and sells electricity in the wholesale market through the Aggregator.

scholarly journals Study of the Intelligent Behavior of a Maximum Photovoltaic Energy Tracking Fuzzy Controller

Energies ◽  
2018 ◽  
Vol 11 (12) ◽  
pp. 3263 ◽  
Author(s):  
Gul Tchoketch Kebir ◽  
Cherif Larbes ◽  
Adrian Ilinca ◽  
Thameur Obeidi ◽  
Selma Tchoketch Kebir
Keyword(s):  
Fuzzy Logic ◽  
Control Method ◽  
Fuzzy Controller ◽  
Power Converter ◽  
Climatic Conditions ◽  
Maximum Power ◽  
Maximum Speed ◽  
Special Choice ◽  
Photovoltaic Generators ◽  
Inputs And Outputs

The Maximum Power Point Tracking (MPPT) strategy is commonly used to maximize the produced power from photovoltaic generators. In this paper, we proposed a control method with a fuzzy logic approach that offers significantly high performance to get a maximum power output tracking, which entails a maximum speed of power achievement, a good stability, and a high robustness. We use a fuzzy controller, which is based on a special choice of a combination of inputs and outputs. The choice of inputs and outputs, as well as fuzzy rules, was based on the principles of mathematical analysis of the derived functions (slope) for the purpose of finding the optimum. Also, we have proved that we can achieve the best results and answers from the system photovoltaic (PV) with the simplest fuzzy model possible by using only 3 sets of linguistic variables to decompose the membership functions of the inputs and outputs of the fuzzy controller. We compare this powerful controller with conventional perturb and observe (P&O) controllers. Then, we make use of a Matlab-Simulink® model to simulate the behavior of the PV generator and power converter, voltage, and current, using both the P&O and our fuzzy logic-based controller. Relative performances are analyzed and compared under different scenarios for fixed or varied climatic conditions.

scholarly journals Feasibility Conditions for Demonstrative Peer-to-Peer Energy Market

Energies ◽  
2021 ◽  
Vol 14 (21) ◽  
pp. 7418
Author(s):  
Reo Kontani ◽  
Kenji Tanaka ◽  
Yuji Yamada
Keyword(s):  
Power Grid ◽  
Energy Markets ◽  
Peer To Peer ◽  
Lower State ◽  
Distributed Energy ◽  
Market Mechanisms ◽  
Blockchain Technology ◽  
Advantageous Position ◽  
Data Source ◽  
Photovoltaic Generators

Distributed energy resources (DERs) play an indispensable role in mitigating global warming. The DERs require flexibility owing to the uncertainty of their power output when connected to the power grid. Recently, blockchain technology has actualized peer-to-peer (P2P) energy markets, promoting efficient and resilient flexibility in the power grid. This study aimed to extract insights about the contribution of the P2P energy markets to ensuring flexibility through analyzing transaction data. The data source was a demonstration project regarding the P2P energy markets conducted from 2019 to 2020 in Urawa-Misono District, Japan. The participants in the project were photovoltaic generators (PVGs), convenience stores (CSs), and residences equipped with battery storage as the only flexibility in the market. We quantitatively analyzed the prices and volumes ordered or transacted by each participant. The execution prices purchased by the residences were lower than those purchased by CSs; the differences between execution prices and order prices of the residences were narrower than those of PVGs and CSs; the lower state-of-charge (SoC) in the storage battery induced the higher purchasing prices. Thus, P2P energy markets, where holding flexibility resulted in the advantageous position, can promote installing flexibility through market mechanisms.

scholarly journals Optimization of the power flow of photovoltaic generators in electrical networks by MPPT algorithm and parallel active filters

2021 ◽  
Vol 7 ◽  
pp. 491-505
Author(s):  
Kitmo ◽  
Répélé Djidimbélé ◽  
Dieudonné Kaoga Kidmo ◽  
Guy Bertrand Tchaya ◽  
Noël Djongyang
Keyword(s):  
Power Flow ◽  
Active Filters ◽  
Electrical Networks ◽  
Photovoltaic Generators

scholarly journals Sensorless iterative solar tracking in multiple on-grid photovoltaic generators with improved tracking strategy

2011 ◽  
pp. 818-823
Author(s):  
Guilherme F. Cittolin ◽  
Jéssica V. Mazuroski ◽  
Rafael C. Gonçalves ◽  
Marcel G. Kroetz ◽  
Carlo A.Z. Pece ◽  
...  
Keyword(s):  
Solar Tracking ◽  
Photovoltaic Generators ◽  
Tracking Strategy
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