After considering the uncertainty, this article considers two scenarios, namely, a virtual power plant combined with thermal power unit peak regulation and a thermal power plant side building energy storage system for peak regulation.
To solve this problem, a two-stage power optimization allocation strategy is proposed, in which electro-chemical energy storage participates in peak regulation and frequency regulation.
Aimed at addressing the configuration and output optimization problems of an energy storage system subjected to peak regulation on the grid side, an optimization model considering the economy of energy storage and the effect of
With the new round of power system reform, energy storage, as a part of power system frequency regulation and peaking, is an indispensable part of the reform.
The integration of large-scale intermittent renewable energy generation into the power grid imposes challenges to the secure and economic operation of the system, and energy storage (ES) can effectively mitigate this problem as a flexible resource.
However, large-scale renewable energy access on power grids results in the prob-lem of renewable energy accommodation, causing the function of conventional thermal power units transforming from power generation to frequency and peak regulation.
Therefore, this paper proposes a modelling and evaluation method for the economic benefits of BESS on the generation side considering the unit loss reduction during frequency regulation and the delay in investment in peak regulation.
Compared with the traditional capacity allocation method, The strategy in this paper reduces the shared cost of thermal power by 31.46 %. It has enhanced the flexibility and economy of the power system and provided a fair and reasonable cost-sharing mechanism for compensation.
This paper proposes a visualization method for evaluating the peak-regulation capability of power grid with various energy resources, which visualizes the peak-regulation supply by the cumulative histogram with typical unit on–off state combinations (UOSCs).
Deep peak regulation on the generation side, peak regulation with flexible load, new energy consumption and the spot market are combines in this mode, which fully explores the peak regulation capabilities on both sides of generation and customer.
