摘要
当电力网络某些区域负荷过重时,会导致电压下降、频率不稳定,进而影响电子设备的正常工作和供电质量。合理优化分配电力网络的负荷,是典型的多目标优化问题。对此,提出电力网络负荷多目标优化分配方法。以负荷平衡与功率总和作为约束条件,建立多目标下的电力网络负荷优化分配模型。引入非劣分层理论改进差分粒子群混合算法,求解负荷优化分配模型,以获取负荷优化分配解集。利用基点和熵的多指标评价方法,在负荷优化分配解集中确定唯一解,以完成电力网络负荷优化分配。试验结果表明,该方法可有效优化分配电网中的负荷,减少供电煤耗、污染物排放量与调度机组数量,缩短负荷调整时间,提升电力网络发电机组出力值,且具有较高的负荷优化性能。该研究对智能电网和智能优化领域具有借鉴意义,能使电力网络运行和管理更加高效和智能化。
When certain areas of the power network are overloaded,it will lead to voltage drop and frequency instability,which in turn affects the normal work of electronic equipment and power supply quality.Reasonable and optimal allocation of loads in power network is a typical multi-objective optimization problem.In this regard,a multi-objective optimal allocation method of power network load is proposed.Taking load balance and power sum as the constraints,the optimal allocation model of power network load under multi-objective is established.Non-inferiority stratification theory is introduced to improve the differential particle swarm hybrid algorithm to solve the load optimization allocation model and obtain the solution set of load optimization allocation.Using the base point and entropy multi-indicator evaluation method,the unique solution is determined in the load optimization allocation solution set to complete the load optimization allocation of electric power network.The experimental results show that the method can effectively optimize the distribution of loads in the power grid,reduce the coal consumption of power supply,pollutant emissions and the number of units to be dispatched,shorten the load adjustment time,improve the output value of generating units in the power network,and have a high performance of load optimization.The research is of great significance in the field of smart grid and smart optimization,which can lead to more efficient and intelligent of power network operation and management.
作者
罗宗杰
郑世明
钟俊琛
LUO Zongjie;ZHENG Shiming;ZHONG Junchen(Zhanjiang Power Supply Bureau,Zhanjiang 524000,China)
出处
《自动化仪表》
CAS
2024年第9期95-100,共6页
Process Automation Instrumentation
关键词
电力网络
多目标优化
差分粒子群混合算法
非劣分层理论
多指标评价
节能减排
负荷分配
Power network
Multi-objective optimization
Differential particle swarm hybrid algorithm
Non-inferiority stratification theory
Multi-indicator evaluation
Energy saving and emission reduction
Load distribution
