区域综合能源系统的多目标最优潮流算法研究

Multi-objective Optimal Power Flow Algorithms for Integrated Community Energy Systems

为了解决多能耦合潮流计算复杂度高、工程应用可操作性差的不足,提出了一种计算速度快、可操作性强、可有效应用于工程实践的多目标最优潮流计算方法。该方法分2步完成最优潮流计算:第一步,基于经济、环保、安全可靠、清洁等指标构建了全面的多目标优化函数,并结合序列二次规划法(SQP)与粒子群算法(PSO)构建PSO-SQP双层优化方法,计算得到多能互补系统的优化调度方案;第二步,依据第一步调度方案中各能源设备的运行工况,结合网络结构,自适应选择潮流计算方法,计算各设备出力及各网络能量流分布。最后,将所提方法应用于某园区综合能源系统的潮流计算中,证明了该算法的有效性和实用性。

In order to solve the shortcomings of high computational complexity and poor operability in engineering application of multi-energy coupled power flow,a multi-objective optimal power flow calculation method with fast computational speed,strong operability and effective application in engineering practice is proposed.The method completes the optimal power flow calculation in two steps.Firstly,a comprehensive multi-objective optimization function is constructed based on economic,environmental protection,safety,reliability,cleanliness and other indicators.The optimal scheduling scheme of multi-energy complementary system is calculated by combining sequence quadratic program and particle swarm optimization(PSO-SQP double-level optimization method).Secondly,according to the operation conditions of energy equipment in the first step’s scheduling scheme,the power flow calculation method is adaptively selected to calculate the outputs of equipment and the energy flow distribution of each network,combined with the network structure.Finally,the proposed method is applied to power flow calculation of an integrated energy system in certain park,w hich proves the effectiveness and practicability of the algorithm.