Method for optimizing heat and power mixed energy system

Abstract

The invention discloses a method for optimizing a heat and power mixed energy system. Traditional demand side management and demand side response resource regulation are mostly researched on a certainaspect of system operation, however, a future thermal power hybrid energy system and demand side management cover multiple energy resources and involve multiple entities and are affected by various factors, existing research is very one-sided, and the overall coordination of the influences of system reliability, operational risk, cost, a price, energy utilization efficiency and an environment isnot facilitated. The method of the invention comprises the steps of the modeling of the heat and power mixed energy system without considering energy storage, the modeling of the heat and power mixedenergy system considering energy storage, the modeling of energy conversion of the heat and power mixed energy system, the modeling of optimization control of the heat and power mixed energy system, and the modeling of the optimization of heat and power mixed energy system. According to the method, with a typical heat and power mixed energy system as an object, an economic model of demand side management optimization and control is constructed, and the minimization of the operation body of a terminal energy system is achieved.

Description

technical field [0001] The invention belongs to the field of power system optimization, in particular to a method for optimizing a thermoelectric hybrid energy system. Background technique [0002] In "Optimization Model of Distributed Energy System Based on Integration among Users" ("HVAC", 1002-8501, 2016, Wu Qiong, Ren Hongbo, Ren Jianxing, etc., pp. 41-46), in order to achieve the goal of optimal economy , adopting the modeling method of mixed integer linear programming, taking the lowest annual energy supply cost as the optimization goal, and considering the operating characteristics of each system, energy integration constraints and current policy factors, an optimization model of a coupled regional distributed energy integration system is constructed. The optimal operation strategy of the system is obtained, and its economy and energy saving are verified. [0003] "Economic Optimum Operation and Solution Algorithm of Distributed Energy System Compatible with Controll...

AI Technical Summary

Problems solved by technology

However, the future thermal-electric hybrid energy system and demand-side management cover a variety of energy resources, involve multiple subjects, and are affected by various factors. The existing technology research is very one-sided, which is not conducive to the reliability and operation of the overall coordination system. Risk, cost, price, energy efficiency and environmental impact, etc.

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