This question is in the context of Smart Grids implementation. Giving all side solutions given to avoid new peaks after load shedding, I purpose a pricing model efficient enough to reduce a third-party intervention (monitoring services).
Check out the many articles and presentations on real time and TOU pricing by Bernard F. Neenan who won several EPRI awards for developing and implementing RT and TOU pricing at Niagara Mohawk some years ago.
Check out the many articles and presentations on real time and TOU pricing by Bernard F. Neenan who won several EPRI awards for developing and implementing RT and TOU pricing at Niagara Mohawk some years ago.
We have developed multiple models and have a fairly complex piece of software that emulates include RTP, TOU, block rates, and similar structures. There is no substitute for reading the tariff sheets and painstakingly constructing a model. Also, we have found no method to analyze the impact short of time-series Monte Carlo studies.
In one of our publications, we studied and compared two different tariffs and achievable savings in the case of applying advanced load management methods. The tariffs that we used were Seasonal ToU and Residential RTP. As long as the tariff info that you want to analyze are organized in data files, integrating them into many different analysis programs is not a big issue. For preparing the files, we also construct our models by reading tariff sheets as Mr. Zimmerle mentioned. You can check our related publication, (Demand response planning tool for management method evaluation and tariff design) together with the sources of tariff info.
http://dx.doi.org/10.1109/ISGTEurope.2013.6695397
Conference Paper Demand response planning tool for management method evaluati...
You may want to look at my
"Dynamic 'Distribution' Grid Pricing," Energy Pulse, 2014 January 21
http://www.energycentral.com/generationstorage/distributedandcogeneration/articles/2817
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