Future Grid Business Model Innovation: Distributed Energy Resources Services Platform for Renewable Energy Integration

2015 ◽  
Author(s):  
Marcelo Sandoval ◽  
Santiago Grijalva
Keyword(s):  
Renewable Energy ◽  
Business Model ◽  
Business Model Innovation ◽  
Energy Resources ◽  
Distributed Energy Resources ◽  
Energy Integration ◽  
Distributed Energy ◽  
Renewable Energy Integration

scholarly journals Optimal Dispatch Strategy of Virtual Power Plant for Day-Ahead Market Framework

2021 ◽  
Vol 11 (9) ◽  
pp. 3814
Author(s):  
Poushali Pal ◽  
Parvathy Ayalur Krishnamoorthy ◽  
Devabalaji Kaliaperumal Rukmani ◽  
S. Joseph Antony ◽  
Simon Ocheme ◽  
...  
Keyword(s):  
Renewable Energy ◽  
Power Plant ◽  
Energy Resources ◽  
Distributed Energy Resources ◽  
Virtual Power ◽  
Distributed Energy ◽  
Distribution Method ◽  
Virtual Power Plant ◽  
Optimal Dispatch ◽  
Market Framework

Renewable energy sources prevail as a clean energy source and their penetration in the power sector is increasing day by day due to the growing concern for climate action. However, the intermittent nature of the renewable energy based-power generation questions the grid security, especially when the utilized source is solar radiation or wind flow. The intermittency of the renewable generation can be met by the integration of distributed energy resources. The virtual power plant (VPP) is a new concept which aggregates the capacities of various distributed energy resources, handles controllable and uncontrollable loads, integrates storage devices and empowers participation as an individual power plant in the electricity market. The VPP as an energy management system (EMS) should optimally dispatch the power to its consumers. This research work is proposed to analyze the optimal scheduling of generation in VPP for the day-ahead market framework using the beetle antenna search (BAS) algorithm under various scenarios. A case study is considered for this analysis in which the constituting energy resources include a photovoltaic solar panel (PV), micro-turbine (MT), wind turbine (WT), fuel cell (FC), battery energy storage system (BESS) and controllable loads. The real-time hourly load curves are considered in this work. Three different scenarios are considered for the optimal dispatch of generation in the VPP to analyze the performance of the proposed technique. The uncertainties of the solar irradiation and the wind speed are modeled using the beta distribution method and Weibull distribution method, respectively. The performance of the proposed method is compared with other evolutionary algorithms such as particle swarm optimization (PSO) and the genetic algorithm (GA). Among these above-mentioned algorithms, the proposed BAS algorithm shows the best scheduling with the minimum operating cost of generation.

scholarly journals Integration of Flexibility from Distributed Energy Resources: Mapping the Innovative Italian Pilot Project UVAM

Energies ◽  
2021 ◽  
Vol 14 (7) ◽  
pp. 1910
Author(s):  
Jan Schwidtal ◽  
Marco Agostini ◽  
Fabio Bignucolo ◽  
Massimiliano Coppo ◽  
Patrizia Garengo ◽  
...  
Keyword(s):  
Renewable Energy ◽  
Electricity Market ◽  
Market Integration ◽  
Energy Transition ◽  
Pilot Project ◽  
Energy Resources ◽  
Distributed Energy Resources ◽  
Distributed Energy ◽  
Distributed Resources ◽  
Fundamental Building Block

In light of the advancing energy transition and an increasing amount of intermittent renewable energy to be integrated, flexibility from distributed energy resources will be key. In this paper, the Italian UVAM (Unità Virtuali Abilitate Miste, i.e., virtually aggregated mixed units) project, one of the biggest pilots in Europe to serve this purpose, is critically reviewed and mapped after two years of operation. The pilot is analyzed on a global level as well as the individual participant level. Based on the extensive analysis of actual market data, different strategies of participating companies to obtain capacity in accordance with the pilot project’s design are identified. Furthermore, the specific bidding strategies of individual participating units on the balancing market are outlined. Alongside this, the overall pilot project’s market integration, in terms of offered and accepted bids, is depicted. The thorough data analysis, therefore, serves as an input and fundamental building block for future electricity market modeling. Comprehending specific data from the coronavirus disease 2019 (COVID-19) pandemic, provides insights for future high renewable-energy scenarios. Based on the analysis findings, valuable deliverables are devised for both policy-makers and decision-makers who aim to leverage the flexibility potential of distributed resources.

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