Solar energy paper index
Decoupled optimization method for siting and sizing of synchronous condensers in power grids based on computer greedy strategy
One-line summary
A solar energy research paper on Decoupled optimization method for siting and sizing of synchronous condensers in power grids based on computer greedy strategy.
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Chinese explanation / 中文解读
中文解读待补充：本站会优先为光伏效率、钙钛矿太阳能电池、储能技术、太阳能热利用、BIPV、并网技术等高价值论文补充中文说明。
Original abstract
To address the challenges of grid strength degradation in high-dimensional renewable energy systems and the low solution efficiency of current optimization algorithms, this paper proposes a decoupled optimization method for the siting and sizing of synchronous condensers based on a computerized greedy strategy. This approach comprehensively considers siting, sizing, and economic costs, while ensuring the algorithm’s feasibility in practical engineering applications. Initially, the impact of synchronous condenser integration on short-circuit capacity and the multiple renewable energy stations short circuit ratio (MRSCR) is analyzed in depth. Subsequently, the multiple renewable energy station interaction factor and the MRSCR relative compensation value are proposed. Based on these, a MRSCR comprehensive compensation demand index and a capacity prediction index are established for the siting and sizing of synchronous condensers. This method achieves the decoupling of the two optimization problems, effectively avoiding the limitations of current metaheuristic algorithms and mathematical programming methods. Finally, the effectiveness and rationality of this optimal configuration strategy are verified by building a corresponding simulation model. The simulation results show that the optimal configuration of distributed synchronous condensers using this method not only significantly enhances the strength of power grids with a high proportion of renewable energy but also reduces configuration costs, significantly improving the solution efficiency of the optimization algorithm, and providing a flexible and practical framework for solving complex practical power system problems.
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