Abstract
There is a large number of combined heat and power units in northern China, and due to the limit of heating demand, the operating mode of setting electricity by heat of combined heat and power units has seriously took over the consumption space of other energy, resulting in severe wind power curtailment and rationing situation in some areas, so this paper studies the deep peak regulation bidding strategy problem considering multiple uncertainties on virtual power plants, and established a two-staged optimization model of virtual power plant to maximize the net revenue, then introduced the Shapely value method with correction coefficient redistribute the peak regulation revenue. The simulation results showed that the two-stage bidding model can not only improve the market competitiveness of the virtual power plant, but also promote the consumption of renewable energy and reduce the market peak regulation service cost. Meanwhile, the improved apportion method can effectively guarantee the enthusiasm of all kinds of units to participate in the deep peak regulation market.
Highlights
In the energy installed structure of northern China, combined heat and power (CHP) unit accounted for about half of the total installed units, but CHP units lack of flexibility, especially in the heating period, a large number of pure condensing thermal units are forced to stop running, limited by users’ thermal load, CHP units’ electrical output adjustment space is confined, which leads to shortages in peak regulation resources in system
Most of the literatures only studied the problem of peak regulation of pure condensing thermal power units in cooperation with other units, and literatures about CHP units in peak regulation mainly focused on the compensation price of CHP and the problem of how to use other resources to
Literature [12] studied the problem of the optimal capacity of electric boilers when CHP units participating in peak regulation market, and simulation model calculated the optimal capacity of electric boilers established with the goal of unit peak load regulation increment and economic net present value under characteristic days
Summary
In the energy installed structure of northern China, combined heat and power (CHP) unit accounted for about half of the total installed units, but CHP units lack of flexibility, especially in the heating period, a large number of pure condensing thermal units are forced to stop running, limited by users’ thermal load, CHP units’ electrical output adjustment space is confined, which leads to shortages in peak regulation resources in system. Literature [7] studied the problem of considering the price-based demand response and thermal power plants with energy storage equipment to assist thermal power units to participate in the auxiliary service of peak regulation, and established an optimal dispatching model considering the initiative of thermal power depth peak regulation to achieve the goal of optimizing the system economy and minimize the wind abandonment rate. The second stage, scheduling with the goal of maximizing the virtual power plant total revenue and determine its actual power generation project, introducing load deviation compensation fees to ensure bidding quantity of each market still can be satisfied after internal adjustment of VPP, and by adding the coefficient of Shapley value method which considering load historical contribution and peak regulation realization degree to correct the profit apportioned, so that various units keep enthusiasm in peak regulating market, renewable energy consumption can get improved
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