A Cost Optimization Algorithm for Temperature Control of Energy Management System in Microgrid

Abstract

The invention discloses a temperature control cost optimization algorithm for an energy management system in a microgrid comprises the steps: firstly, establishing a heat loop equivalent parameter model of an indoor heat supply system, and solving a state space equation of the indoor heat supply system; secondly, establishing a cost optimization model of the intelligent building in the microgrid,and solving a basic power optimal solution meeting cost optimization and an optimal solution meeting upper and lower limits of power consumption flexibility with optimal cost; thirdly, establishing acost optimization model of the micro-grid management center, and solving the flexibility requirement of the micro-grid management center for a user; and obtaining a time parameter constraint and an optimization constraint on the basis of the established cost optimization model of the microgrid management center. According to the invention, intelligent building users are also brought into the powerbalance adjustment process, so that the power balance adjustment of the whole system is more flexible. The optimization method of model prediction control is adopted, so that the modeling process issimplified, and the dynamic performance is good through rolling optimization; and the electric power purchasing cost can be reduced.

Description

technical field [0001] The invention belongs to the field of optimization control of a microgrid in the form evolution of a future grid, and relates to a temperature control cost optimization algorithm for an energy management system in a microgrid. Background technique [0002] Since the 21st century, people have paid more and more attention to the relationship between energy and the environment. The challenge people face is how to balance the contradiction between intermittent new energy supply and variable energy demand. This contradiction is mainly reflected in the following three aspects: [0003] 1) Increasing energy demand with population growth and economic development; [0004] 2) System planning problems caused by the access of wind power and photoelectric distributed power to the power system; [0005] 3) Carbon emissions from traditional fossil fuels. [0006] Among all energy consumers, buildings are an important part that cannot be ignored. According to the...

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Problems solved by technology

[0004] 2) System planning problems caused by the access of wind power and photoelectric distributed power to the power system;

[0005] 3) Carbon emissions from traditional fossil energy

But this also brings some problems: on the one hand, the intermittent characteristics of new energy make its energy supply unable to meet the energy demand of buildings in real time; on the other hand, the introduction of new energy makes energy supply more diverse, which also makes power The price of the

In the existing technical research, the research on the combination of model predictive control (MPC) method and power consumption flexibility to reduce the cost of smart buildings and management centers in the microgrid is not mature, and it is still at the theoretical conceptual level , did not really get the algorithm that can be put into practice, reduce the cost and reduce the power consumption of the microgrid

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