2.3.3. Proposing DSM algorithm to operate at nodes with the participation of the source system in specific conditions of the Vietnamese power system
Figure 2.13. Program of phase L1 of the DSM 2 option
Figure 2.15. Algorithm to determine the optimal ES capacity
Figure 2.17. Capacity obtained from source system and required capacity of load of DSM plan 1
2.4.1.2. DSM plan 2
Figure 2.25a shows that DSM program purchased electricity from EPS in phase L1 and sold electricity at H, M hours to limit the purchase cost as required. Figure 2.25b, the system has lost the cost of buying electricity without collecting money for sel...
• With program 1: the difference between the cost of purchasing electricity and the profit when implementing DSM is negative while this difference when not implementing DSM is positive. This shows that the DSM program was very effective.
• With program 2: the difference between the cost of purchasing electricity and profit when implementing DSM or not implementing DSM is all positive. However, it has made a profit by selling electricity and reducing the cost of buying electricity from...
2.5. Conclusions of chapter 2
• Synthesize the mathematical descriptions of the main objects in the source system, that is PVG and WG. Factors affecting the parameters on the mathematical model such as G, T, ... have been evaluated in detail. Develop a strategy to regulate the cap...
• The simulation results show that corresponding to the installed capacity of PVG and WG, power generation graphs under operating conditions show the correctness of the proposed DSM strategy. The capacity of the selected ES can help absorb all the pow...
These results can be used to plan the operation of each element throughout the system through the design of the controllers for the converters and provide set values for those controllers.
Chapter 3
CONTROL SYSTEM POWER SYSTEM OPERATION WITH DSM
Figure 3.1. Structure diagram of the control system of the source system
3.2. Base control theory and mathematical description of converter power electronics
3.4. Construction of wind power controllers: controlled under the HCS method.
3.5. Construction pairing grid controller as required DSM
3.5.1. Control structure: Control structure applicable to 1-phase DC / AC converter is shown in Figure 3.20.
Figure 3.20. Control structures inverter DC / AC 1 phase
3.5.2. Current controller: (3.21)
3.5.3. Power controller
Loop control structure power control for the inverter DC / AC is described in Figure 3.23.
3.6. Simulation results
Comment on simulation results:
- The controller IB-AVC helped exploit the full capacity of the MPP from PVG. Power generated from PVG fluctuates instantly according to the fluctuation in input.
- The HCS controller helped exploit the capacity at the WG's MPP. The power characteristics obtained from WG always vary in the same pattern as the wind speed, even when the wind speed is completely lost.
- The net-side controller controls the power running through the DC / AC converter, precisely adhering to the set capacity, only a very small fluctuation in a short time when there is a change in the set power. Demonstrates the precision of the design...
- The simulation results show that ES plays a very good energy balance role. The whole system had a very strong variation of input parameters, making the exploited capacity from each source always fluctuate while the required power from the grid side ...
3.7. Conclusions of chapter 3
• Building a hybrid system structure between PVG and WG operating under the DSM model.
• Construction of controllers: PID according to IB-AVC method applied to PVG objects; HCS applies to WG subjects; mesh operation under the DSM program.
• The simulation results have solved the set requirements: Utilizing maximum power from each source under all operating conditions of the input parameters, controlling the power set to the transducer on the side. grid and perform power balance for the...
Figure 4.13. The first sampling results tested the ability to exploit MPP
Graphs of power across DC / AC converters and ps1, ps2
a. First sampling b. Second sampling
Figure 4.16. Test the ability to distribute natural power stream
Graph of power running through converter DC / AC and ps1, ps2 (W)
a. Third sampling b. Fourth sampling
Figure 4.17. Testing the ability to distribute the flow of power on demand
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