Evaluation of Increased Discretization of Real-Time Locational Marginal Prices on Customer-Optimized Distributed Generation

Author(s):  
Ray C. Duthu ◽  
Thomas H. Bradley

This article presents an economic model for customer-owned and operated distributed generation facilities operated according to net metered, real-time pricing (RTP). Previous research has demonstrated that within traditional billing and rate structures customer-optimized distributed generation facilities create quantifiable losses for distribution and generation and transmission utilities. Using historical real-time pricing data available on the New England ISO website, a customer-optimized dispatch of distributed generation is constructed so that total consumer costs are minimized. The relative difference of consumer behavior is compared between RTPs with hour-long and a five minute long periods. The results are presented across a range of DG prices, and the utilization and value of the DG resource in this case study is also quantified.

2014 ◽  
Vol 984-985 ◽  
pp. 1301-1305
Author(s):  
P. Sivakumar ◽  
Arumugam Rajapandiyan

In modern power systems, distributed generation turns out to be progressively significant. Conversely, the growing utilize of distributed generators origins the concerns on the growing system hazard owing to their probable breakdown or unruly power productivity based on such renewable energy sources as wind and the sun. Power contribution at the required proportion by the grids is the chief performance consideration which depends upon the penetration of distributed generation and the accessibility of conventional sources during the load transform. In this paper, the projected approach is that the essential load power is divided evenly between the grids composed of Distributed Generation (DG) units and the utility based on the PSO algorithm during the load transform. A case study is carried out based on the New England test system (10-Generator-39-Bus) as a standard by using Particle swarm optimization (PSO) algorithm.


IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Ricardo Schumacher ◽  
Felipe J. Lachovicz ◽  
Pablo L. Macedo ◽  
Filipe Perez ◽  
Lucio De Medeiros ◽  
...  

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