计及清洁能源的跨区跨省交易路径优化建模与算法

中国电力供需逆向分布、经济发展水平差异显著等特点,决定了其需要优化跨区、跨省电力输送容量,以实现发电资源在更大范围的全局优化。文中建立了基于点—弧模型的多成分并发清洁能源跨区、跨省交易路径优化模型,可计及最大社会效益、最大成交量等不同优化目标,并可实现考虑时段间耦合、波动率约束、输电通道容量等约束的跨区、跨省交易路径优化。同时提出了计及清洁能源的跨区、跨省交易路径优化弧—路模型,解决了点—弧模型对于含正权环路径优化问题的求解难题。基于中国特高压网架的简化网络模型进行计算,计算结果验证了所提模型和算法的有效性。

Path-optimized Modeling and Algorithm for Trans-regional and Trans-provincial Electricity Trading Considering Clean Energy

Owing to the reverse distribution of energy supply and demand, and the different economic development levels in different areas in China, it''s important to optimize trans-regional and trans-provincial transmission power to realize the global optimization of the generation sources in the wider areas of the whole country. The point-arc-model based path-optimization model for trans-regional and trans-provincial electricity trade taking into account multi-component clean energy is developed based on the different optimization targets, including maximum social benefits, minimum loss costs, and maximum volume, and realizing the electricity-trading-path optimization with constraints such as the period coupling, volatility and the transmission channel capacity, etc. The trans-regional and trans-provincial arc-path optimization model is also proposed to solve the difficult power-ring-routing optimization problem in the point-arc model. The simplified network model based on the backbone ultra-high-voltage power grid of China is adopted to implement the calculation that proves the validity of the proposed model and algorithm.