研究目的
To implement knapsack problem using dynamic programming to determine the location and capacity allocation of hybrid power system consisting of photovoltaic, diesel and batteries with a total planned photovoltaic capacity of 15 MW.
研究成果
The knapsack dynamic programming approach successfully identified optimal locations and compositions for hybrid power systems in the Sumbawa system, achieving a total photovoltaic capacity of 14.6 MW with benefits of 0.017 USD/kWh. The method supports renewable energy integration while maintaining system stability.
研究不足
The study is limited to the Sumbawa Island electricity system and assumes theoretical ramp rates for photovoltaic generation changes. The approach may need adaptation for other systems or real-world conditions.
1：Experimental Design and Method Selection:
The methodology involves the use of knapsack dynamic programming for selecting optimal locations and compositions of hybrid power systems.
2：Sample Selection and Data Sources:
The Sumbawa Island electricity system is used as a case study, with data from PLN's Electricity Supply Business Plan 2018-
3：List of Experimental Equipment and Materials:
20 DIgSILENT Power Factory for power system modeling, HOMER Pro for LCOE calculation, and MATLAB for optimization.
4：Experimental Procedures and Operational Workflow:
Includes optimal power flow and N-1 contingency analysis, frequency stability simulation, and LCOE calculation.
5：Data Analysis Methods:
Dynamic programming approach for optimization and validation through dynamic simulation.
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