The portfolio analysis of electricity market with transmission constraints

2010 ◽  
Author(s):  
Z Zhou ◽  
W K V Chan ◽  
J H Chow ◽  
S Kotsan
Keyword(s):  
Electricity Market ◽  
Portfolio Analysis ◽  
Transmission Constraints

Italian Energy Portfolio Analysis: An Interactive Renewable Investments Tool

2013 ◽  
Vol 739 ◽  
pp. 768-776 ◽  
Author(s):  
Federica Cucchiella ◽  
Idiano D’Adamo ◽  
Massimo Gastaldi
Keyword(s):  
Renewable Energy ◽  
Energy Balance ◽  
Electricity Market ◽  
Renewable Energy Sources ◽  
Portfolio Theory ◽  
Portfolio Analysis ◽  
Energy Sources ◽  
Investment Risk ◽  
Optimal Portfolios ◽  
Selection Of

The portfolio analysis is a method for the strategic selection of energy sources able to drive the sustainable evolution of the renewable energy balance. In this paper the portfolio theory is applied in the Italian electricity market for different renewable energy sources (biomass, hydro, photovoltaic and wind) with the aim to select, by diversification, optimal portfolios that minimize investment risk. This analysis can be useful for energy planners to select future green scenarios based on the increasing use of renewable energy.

Optimal scheduling of a hydro basin in a pool-based electricity market with consideration of transmission constraints

2016 ◽  
Vol 131 ◽  
pp. 255-263 ◽  
Author(s):  
Edgardo D. Castronuovo ◽  
Gloria Hermida ◽  
Majid Gholami ◽  
Cristian Bovo ◽  
Alberto Berizzi
Keyword(s):  
Electricity Market ◽  
Optimal Scheduling ◽  
Transmission Constraints

Spatially Explicit Prediction of Wholesale Electricity Prices

2016 ◽  
Vol 40 (2) ◽  
pp. 99-140 ◽  
Author(s):  
James Wesley Burnett ◽  
Xueting Zhao
Keyword(s):  
Panel Data ◽  
Spatial Patterns ◽  
Electricity Markets ◽  
Electricity Market ◽  
Spot Prices ◽  
Spatial Panel ◽  
Out Of Sample ◽  
Geographically Distributed ◽  
Spatial Panel Data ◽  
Transmission Constraints

Transmission constraints often limit the flow of electricity in a regional transmission network leading to strong interaction effects across different geographically distributed points within the system. In modern wholesale electricity markets, these transmission constraints lead to spatial patterns within the nodal electricity spot prices. This study exploits these spatial patterns to better predict spot prices within a wholesale electricity market. More specifically, we use the latest spatial panel data econometric models to compare within-sample and out-of-sample forecasts against nonspatial panel data models. The spatial panel data approach is explained by demonstrating a simple network optimization model. We find that a dynamic, spatial panel data model provides the best predictions within a forecasting error context. Our results may suggest that the spatial autocorrelation between node prices extends beyond the current market-defined zonal boundaries, which calls into question whether the zonal boundaries accurately reflect the congestion boundaries within the system.

scholarly journals Evaluating the potential impact of transmission constraints on the operation of a competitive electricity market in Illinois.

2006 ◽  
Author(s):  
R. Cirillo ◽  
P. Thimmapuram ◽  
T. Veselka ◽  
V. Koritarov ◽  
G. Conzelmann ◽  
...  
Keyword(s):  
Electricity Market ◽  
Potential Impact ◽  
Transmission Constraints
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