Control-strategy-included optimized scheduling and evaluation system and method of integrated energy system of industrial park
A technology of integrated energy system and control strategy, applied in the field of integrated energy system optimization dispatch and evaluation system in industrial parks, to achieve the effect of clear thinking and economical operation
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Embodiment 1
[0047] figure 1 It is the structural diagram of the comprehensive energy system of the industrial park. figure 1 (a) is the structure diagram of central cooling operation mode in summer, figure 1 (b) is the structural diagram of the central heating operation mode in winter. Such as figure 1 As shown, the integrated energy system of the industrial park provided by the present invention includes: a distribution network operator, an integrated energy system dispatch center, integrated energy system equipment, and cold, heat, and electric load users. Among them, the distribution network operator is connected to the integrated energy system dispatching center, and the integrated energy system dispatching center is connected to the integrated energy system equipment and users of cooling, heating, and electric loads. The equipment included includes gas turbines, waste heat boilers, steam turbines, lithium bromide units and The plate heat exchanger adopts a gas turbine-steam combin...
Embodiment 2
[0143] Taking an actual industrial park integrated energy system as an example, the implementation process of the present invention will be described in the form of data. In this embodiment, the summer heating operation mode is adopted.
[0144] Step 1: Forecast the cooling, heating, and electricity loads of the day before, and generate a load forecast curve. The forecast results are as follows image 3 shown.
[0145] Step 2: Input the performance parameters, exchange power parameters and natural gas parameters of each unit, where the performance parameters of the unit include the thermal efficiency, electrical efficiency, maintenance cost and power generation capacity of the unit. Parameter settings such as Figure 4 shown.
[0146] Step 3: Establish a day-ahead scheduling model considering the optimal economy.
[0147] Step 4: Use the interior point method to solve the model to obtain the optimal day-ahead unit output and exchange power values. The solution results are...
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