This case study shows the impact of PPPs and the allowance and demonstrates that the model helps customers save electricity while maximizing VER profits.
In general terms, the main goal of such activities is to change the demand level and patterns by implementing management actions over groups of loads to minimize peak demand or electricity bill, maximize profits or increase the systems reliability, among other objectives.
An electricity producer maximizes profits subject to the technical constraints.
The heat recovery process for power generation is modeled first to facilitate the development of the EPD model that maximizes the plant's economic benefits in terms of minimizing electricity cost and maximizing revenue from selling the generated electricity.
To maximize electricity sales, an electricity company sells electricity at a preferential price.
In the first year ADs are economically available, assuming that potential AD electricity generation is maximized, they produce 0.1 PWh of electricity, which is 2.6% of national electricity generation.
A functionality of the controller of special interest is the optimization of the energy management of the system, i.e., determining when to sell and buy electricity to/from the grid, in order to minimize the cost of electricity (or to maximize the profit) subject to a given, time-of-use variable energy tariff.
This paper focuses on using a new nodal hourly electricity pricing to maximize the profit of a LDC (local distribution company).
From Eq. 4, we posit that the maximum amount of income the individual is willing to forgo in order to enjoy improved electricity supply should maximize consumer's welfare.
This fact, together with less attractive PV feed-in-tariffs in the near future and incentives to promote self-consumption suggest, that new operation modes for the PV Distributed Generation should be explored; differently from the traditional approach which is only based on maximizing the exported electricity to the grid.
