Wind Power Accommodation Method for Regional Integrated Heat-Power System Considering Generation and Load Uncertainties

Abstract

Due to the anti-peak shaving characteristics of wind power under the operation mode of "power determined by heat", a large number of wind power is abandoned at night. In order to solve the problem, this paper proposes a method of coordinated operation of ground source heat pump (GSHP) and combined heat and power (CHP) units. Through indirectly reducing the generation power of CHP units, the accommodation space of wind power in power grid is improved. A two-stage robust optimal scheduling model of regional integrated heat-power system (RIHPS) considering the uncertainty of wind power generation and power load is established. And a distributed solution method based on Alternating Direction Method of Multipliers (ADMM) method and column-and-constraint generation (C&CG) algorithm is designed. Then, the Locational marginal pricing strategy with the goal of guiding users to participate in wind power accommodation is analyzed. The numerical simulation results show that the wind power accommodation capacity of the integrated system under the operation mode of "power determined by heat" can be improved through installing GSHP at CHP units and using price signal guidance.

Research on a Two-Layer Optimal Dispatching Method Considering the Mutual Aid of Peak Regulating Resources among Regional Power Grids

“…F en (P G peak ) represents additional environmental punishment fees caused by pollutants' excessive discharge in the DPRO stage, which is shown in (5).…”

“…With the proposal of "carbon peak and carbon neutral", power generation structures are turning to a low-carbon transformation, and renewable energy power is developing rapidly in China [1][2][3]. In order to make full use of renewable energy, the government has put forward high requirements for the utilization rate [4][5][6]. Therefore, how to plan the power grid's development and optimize the operation modes, and how to make full use of the limited, flexible regulating resources are critical problems.…”