# Aggregation Dispatch and Control Strategies for Multi-Type Loads in Industrial Parks
## 4 Case Study
### Simulation Analysis  
#### 4.2.1 Analysis of Scenario One  
In order to minimize the overall operating cost of the industrial park, the optimized dispatch provides the start-stop and output plans for each controllable load unit in the industrial park. However, most existing research ignores the response characteristics of controllable loads and assumes that they can respond accurately to power control plan instructions. However, in the actual execution process, due to the control delay and response characteristics of controllable loads, only issuing control instructions to controllable loads without considering their closed-loop predictive control will cause significant control execution deviation. The dispatch instructions for controllable loads and the actual power curve are shown in Figure 6 for this industrial park.  
\begin{table}
\begin{tabular}{c c} \hline Controllable load object AL4: & \\ \(a_{i}\) & \{0, 0, 0.667, 0.889, 0.963, 1\} \\ \(b_{i}\) & \{0, 0, 0, 0.667, 0.833, 1\} \\ \(c_{i}\) & \{1, 1, 1, 0.333, 0.111, 0.037, 0\} \\ Range of operating power & \{300, 600\} \\ Single continuous operating time & 3.5 \\ Daily operating time constraint & [3.5, 12] \\ Daily start–stop frequency limit & 1 \\ Daily operating time interval constraint & [00 : 00, 12 : 00] \\ Controllable load object AL5: & \\ \(a_{i}\) & \{0, 0, 0, 0.556, 0.875, 1\} \\ \(b_{i}\) & \{0, 0, 0, 0.64, 1\} \\ \(c_{i}\) & \{1, 1, 1, 0.444, 0.125, 0\} \\ Range of operating power & [400, 800] \\ Single continuous operating time & 5.5 \\ Daily operating time constraint & [5.5, 16] \\ Daily start–stop frequency limit & 1 \\ Daily operating time interval constraint & \([4:00,\,20:00]\) \\ \hline \end{tabular}
\end{table}
Table 2: \(Cont.\)Due to the neglect of the control response characteristics of controllable loads, there is a significant response delay in the actual power curve compared to the day-ahead dispatch plan. Different controllable loads have different control response characteristics, such as their response delays. When the control response delay of controllable load is ignored, there is a certain difference in the amplitude of the actual power curve compared to the day-ahead dispatch plan, the actual power curve cannot follow the day-ahead dispatch plan well.  
The day-ahead pre-dispatch plan curve, the optimized dispatch curve, and the actual operating curve for the interconnection line in the industrial park are shown in Figure 7.  
There is a significant deviation between the expected and actual power of the interconnection line in the industrial park, which is due to errors in the day-ahead prediction of solar and rigid loads, as well as the fact that controllable loads cannot follow the day-ahead dispatch plan well. The error between the expected and actual power on the interconnection line will increase the assessment costs.  
The expected cost of purchasing electricity based on the pre-optimized strategy for the industrial park is Y11 = CYN 398,618.06, and the assessment cost is Y12 = CYN 15,628.36,  
Figure 6: Day-ahead dispatch plan and the actual power curve of the controllable load in industrial park.  
Figure 7: The day-ahead pre-dispatch plan curve(base), the optimized dispatch curve(expected), and the actual operating curve(actual) for the interconnection line of Scenario One.  
with a total cost of Y1 = CYN 414,246.42; the actual cost of purchasing electricity is S11 = CYN 403,184.11, the assessment cost is S12 = CYN 75,260.48, and the total cost is S1 = CYN 478,444.60.