Development of Electricity Pricing Criteria at Residential Community Level

Abstract

In the UK there is no real time retail market, and hence no real time retail electricity pricing. Therefore domestic electricity consumers in the UK pay electricity prices that do not vary from hour to hour, but are rather some kind of average price. Real time pricing information was identified as a barrier to understanding the effectiveness of various incentives and interventions. The key question is whether we can evaluate energy management and renewable energy intervention in the behaviour of customers in real market terms. Currently only behaviour changes with respect to total consumption can be evaluated. Interventions cannot be defined for peak load behaviour. The effectiveness of the introduction of renewable energy is also hard to assess. Therefore, it is hard to justify introducing of renewable and demand side management at local community level, apart from when following government approved schemes, subsidies, and other initiatives. In this paper, a new criteria has been developed to help developers and planners of local residential communities to understand the cost of intervention, in order to evaluate where the load is when the prices are high.

Investigating the impact of discomfort in load scheduling using genetic algorithm

“…Day ahead real time pricing scheme is not used in the UK at the moment [13]. However it is used in some states in the US and a sample of such pricing scheme as published by Ameren, Illinois is used in the simulation [12].…”

Evaluation of community virtual power plant under various pricing schemes

“…The optimization function is the prosumer net cost. This is gotten from (5) and is represented as follows.…”

“…There is an ongoing global restructuring of electric power utilities [4], [5]. This is changing the electric power utilities from its usual vertically integrated form to a form with a much liberalized market [4], [5], [6]. Therefore, opportunities are created in the electric power market for the energy consumer.…”

Investigation of an optimized energy resource allocation algorithm for a community based virtual power plant

“…There is an ongoing global restructuring of electric power utilities [5], [6]. This is changing the electric power utilities from its usual vertically integrated form to a form with a much liberalized market [5], [6], [7].…”

“…This is changing the electric power utilities from its usual vertically integrated form to a form with a much liberalized market [5], [6], [7]. Therefore, opportunities are created in the electric power market for the energy consumer.…”