Combined heat-power optimization scheduling method taking account flexibility of heat supply network

Abstract

The invention discloses a combined heat-power optimization scheduling method taking account flexibility of a heat supply network. Aiming at digging the source load power non-matching relation betweentwo ends of the heat supply network, through equaling the heat supply network to a generalized energy storage model, making description with a thermodynamic first order differential model and taking temperature as a characteristic quantity, a combined heat and power optimization model is constructed. The method includes steps of obtaining an electric heating operation external characteristic modelaccording to operation characteristics of an air exhaust type heat-power cogeneration unit; equaling the heat supply network as the generalized energy storage model and establishing an upper and lower limit constraint model for the characteristic quantity; according to the structure of the combined heat-power optimization operation system, obtaining a heat-power balance model of the whole system;establishing a standby constrain model; establishing a model taking the minimal cost of the combined heat-power system as a target optimization function; acquiring the minimal cost value of the combined heat-power system and corresponding air exhaust volume through solving the model by utilizing a Cplex algorithm in a GAMS optimization platform; outputting the optimization result and analyzing the result.

Description

technical field [0001] The invention relates to the technical field of power system scheduling operation and control, in particular to a heat and power combined optimal scheduling method for power system scheduling operation and control considering the flexibility of the heating network. Background technique [0002] The large-scale and high-proportion access to wind power has effectively improved my country's energy production structure with high energy consumption, high emissions, and high pollution. However, due to the extreme instability of wind speed, wind power output has strong randomness and volatility characteristics, which brings many uncertain factors to power system dispatching and planning configuration, and threatens the safe, stable and economical operation of the power system. In Northeast China, where the heating period highly coincides with the high wind power generation period, the heat and electricity containment of the heating unit "fixing power by heat"...

AI Technical Summary

Problems solved by technology

This method considers the thermal inertia, thermal delay of the heating pipe network and the energy flexibility of the thermal load (building), and determines the thermal output range of the combined heat and power unit operation, decoupling the heat and power containment constraints to a certain extent , but the model only uses the heat network pipeline loss coefficient to describe the inertia of the entire heating network, and uses algebraic equations to describe the thermal delay of the heating network, without in-depth exploration of the essence of the flexibility of the heating network itself, and the cogeneration units derived from it Limited operating flexibility

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