In this paper, a new Modified Bacterial Foraging Algorithm (MBFA) method is developed to incorporate FACTS devices in optimal power flow (OPF) problem. This method can provide an enhanced economic solution with the us...In this paper, a new Modified Bacterial Foraging Algorithm (MBFA) method is developed to incorporate FACTS devices in optimal power flow (OPF) problem. This method can provide an enhanced economic solution with the use of controllable FACTS devices. Two types of FACTS devices, thyristor controlled series compensators (TCSC) and Static VAR Compensator (SVC) are considered in this method. The basic bacterial foraging algorithm (BFA) is an evolutionary optimization technique inspired by the foraging behavior of the E. coli bacteria. The strategy of the OPF problem is decomposed in two sub-problems, the first sub-problem related to active power planning to minimize the fuel cost function, and the second sub-problem designed to make corrections to the voltage deviation and reactive power violation based in an efficient reactive power planning of multi Static VAR Compensator (SVC). The specified power flow control constraints due to the use of FACTS devices are included in the OPF problem. The proposed method decomposes the solution of such modified OPF problem into two sub problems’ iteration. The first sub problem is a power flow control problem and the second sub problem is a modified Bacterial foraging algorithm (MBFA) OPF problem. The two sub problems are solved iteratively until convergence. Case studies are presented to show the effectiveness of the proposed method.展开更多
柔性交流输电（flexible AC transmission system,FACTS）设备能有效实现对电力系统参数及网络结构的灵活控制,以降低功率损耗,提高系统稳定性。由于FACTS设备成本较高,因此,建立综合考虑其配置费用和系统运行性能的多目标优化模型具有...柔性交流输电（flexible AC transmission system,FACTS）设备能有效实现对电力系统参数及网络结构的灵活控制,以降低功率损耗,提高系统稳定性。由于FACTS设备成本较高,因此,建立综合考虑其配置费用和系统运行性能的多目标优化模型具有重要研究意义。该文以系统有功网损最小、设备补偿费用最低、系统电压稳定性最好为目标函数,建立了晶闸管控制串联电容器和静止同步补偿器的多目标优化配置模型。提出了一种改进差分和声搜索算法求解该非线性多目标优化问题,研究结果表明,提出的改进算法比多目标自适应和声搜索算法获得的解集更优,且得到的最优折衷解,在较低的补偿费用下具有更好的电压稳定性和更低的有功损耗。该文提出的多目标优化模型和求解算法能有效指导实际电力系统中FACTS设备的优化配置,具有良好的应用前景。展开更多
In order to facilitate the electricity market operation and trade in the restructured environment, ample transmission capability should be provided to satisfy the demand of increasing power transactions. The conflict ...In order to facilitate the electricity market operation and trade in the restructured environment, ample transmission capability should be provided to satisfy the demand of increasing power transactions. The conflict of this requirement and the restrictions on the transmission expansion in the restructured electrical market has motivated the development of methodologies to enhance the Available Transfer Capability (ATC) of the existing transmission grids. The insertion of FACTS devices in electrical systems seems to be a promising strategy to enhance ATC. In this paper, the viability and technical merits of boosting ATC using Thyristor Controlled Series Compensator (TCSC) is being analyzed. The work has been carried out on IEEE 30 bus and IEEE 118 bus systems. Bilateral and multilateral transactions are considered. Particle Swarm Optimization (PSO) algorithm and Genetic Algorithm (GA) are employed to obtain the optimal settings of TCSC.展开更多
随着中国经济的持续增长,对能源的需求也在不断上升。然而,由于一次能源与负荷中心的逆向分布,采用新能源进行大规模远距离输电已成为行业内的迫切需求。在众多输电技术中,基于换相换流器的高压直流输电技术(line commutated converter ...随着中国经济的持续增长,对能源的需求也在不断上升。然而,由于一次能源与负荷中心的逆向分布,采用新能源进行大规模远距离输电已成为行业内的迫切需求。在众多输电技术中,基于换相换流器的高压直流输电技术(line commutated converter high voltage direct current,LCC-HVDC)具有无功消耗特性,可能加剧电网的电压波动与无功平衡的问题。针对这一挑战,重点研究交直流混联电网,并构建了一个旨在优化无功功率的数学模型。为克服遗传算法在初始种群选取困难和易早熟的问题,对传统遗传算法进行了创新性改进。在改进后的IEEE 14节点系统和IEEE 39节点系统上进行系列实验验证,所提改进遗传算法展现出显著的实用性和有效性。该算法能够有效优化电网的无功功率,显著提升电网运行的稳定性和效率,为电网无功优化提供了一种新的解决方案。展开更多
以统一潮流控制器(unified power flow controller,UPFC)为代表的灵活交流输电技术(flexible AC transmission system,FACTS)可实现传输功率的合理分布、优化系统资源,提高系统的稳定性和可靠性。该文基于内点优化方法,提出计及UPFC的...以统一潮流控制器(unified power flow controller,UPFC)为代表的灵活交流输电技术(flexible AC transmission system,FACTS)可实现传输功率的合理分布、优化系统资源,提高系统的稳定性和可靠性。该文基于内点优化方法,提出计及UPFC的无功优化模型,以系统有功网损最小为目标函数,采用UPFC电压源模型,将其作用等效为一系列电压和功率的约束,直接放到内点法的约束中,在不同的负荷运行方式下进行优化分析。在IEEE-30节点系统测试中发现,引入UPFC后系数矩阵的维数会有所增加,但不会影响其收敛性。算例就系统网损和电压指标对装设UPFC前后进行比较,并给出最优控制方案下UPFC的参数值。结果表明该方法是可行的、有效的,取得很好的效果。展开更多
如何根据电网的拓扑结构和实时负荷合理地确定柔性交流输电系统(flexible AC transmission systems,FACTS)装置的配置成为近年研究热点。为了能够在计算无功补偿的过程中考虑影响配置的多种因素,提出了多目标无功优化的计算方法。通过...如何根据电网的拓扑结构和实时负荷合理地确定柔性交流输电系统(flexible AC transmission systems,FACTS)装置的配置成为近年研究热点。为了能够在计算无功补偿的过程中考虑影响配置的多种因素,提出了多目标无功优化的计算方法。通过遗传算法,以有功功率损耗和投资这两个目标函数建立多目标数学寻优模型,并设定节点电压偏差评价函数为约束破坏函数。分析由前沿曲线得出的折中解可知:经过补偿后网络的有功功率损耗下降超过5%;而且采用遗传算法多目标进行无功配置后不仅能够有效地降低网络的有功功率损耗,还为决策者提供了多种配置选择,使得决策者可以根据实际需要选择恰当合适的补偿配置。在与经济压差法确定无功补偿容量的对比中,多目标优化方法虽然在降低有功功率损耗方面与经济压差法相差无几,但是设备投资则大为节省。展开更多
文摘In this paper, a new Modified Bacterial Foraging Algorithm (MBFA) method is developed to incorporate FACTS devices in optimal power flow (OPF) problem. This method can provide an enhanced economic solution with the use of controllable FACTS devices. Two types of FACTS devices, thyristor controlled series compensators (TCSC) and Static VAR Compensator (SVC) are considered in this method. The basic bacterial foraging algorithm (BFA) is an evolutionary optimization technique inspired by the foraging behavior of the E. coli bacteria. The strategy of the OPF problem is decomposed in two sub-problems, the first sub-problem related to active power planning to minimize the fuel cost function, and the second sub-problem designed to make corrections to the voltage deviation and reactive power violation based in an efficient reactive power planning of multi Static VAR Compensator (SVC). The specified power flow control constraints due to the use of FACTS devices are included in the OPF problem. The proposed method decomposes the solution of such modified OPF problem into two sub problems’ iteration. The first sub problem is a power flow control problem and the second sub problem is a modified Bacterial foraging algorithm (MBFA) OPF problem. The two sub problems are solved iteratively until convergence. Case studies are presented to show the effectiveness of the proposed method.
文摘柔性交流输电（flexible AC transmission system,FACTS）设备能有效实现对电力系统参数及网络结构的灵活控制,以降低功率损耗,提高系统稳定性。由于FACTS设备成本较高,因此,建立综合考虑其配置费用和系统运行性能的多目标优化模型具有重要研究意义。该文以系统有功网损最小、设备补偿费用最低、系统电压稳定性最好为目标函数,建立了晶闸管控制串联电容器和静止同步补偿器的多目标优化配置模型。提出了一种改进差分和声搜索算法求解该非线性多目标优化问题,研究结果表明,提出的改进算法比多目标自适应和声搜索算法获得的解集更优,且得到的最优折衷解,在较低的补偿费用下具有更好的电压稳定性和更低的有功损耗。该文提出的多目标优化模型和求解算法能有效指导实际电力系统中FACTS设备的优化配置,具有良好的应用前景。
文摘In order to facilitate the electricity market operation and trade in the restructured environment, ample transmission capability should be provided to satisfy the demand of increasing power transactions. The conflict of this requirement and the restrictions on the transmission expansion in the restructured electrical market has motivated the development of methodologies to enhance the Available Transfer Capability (ATC) of the existing transmission grids. The insertion of FACTS devices in electrical systems seems to be a promising strategy to enhance ATC. In this paper, the viability and technical merits of boosting ATC using Thyristor Controlled Series Compensator (TCSC) is being analyzed. The work has been carried out on IEEE 30 bus and IEEE 118 bus systems. Bilateral and multilateral transactions are considered. Particle Swarm Optimization (PSO) algorithm and Genetic Algorithm (GA) are employed to obtain the optimal settings of TCSC.
文摘随着中国经济的持续增长,对能源的需求也在不断上升。然而,由于一次能源与负荷中心的逆向分布,采用新能源进行大规模远距离输电已成为行业内的迫切需求。在众多输电技术中,基于换相换流器的高压直流输电技术(line commutated converter high voltage direct current,LCC-HVDC)具有无功消耗特性,可能加剧电网的电压波动与无功平衡的问题。针对这一挑战,重点研究交直流混联电网,并构建了一个旨在优化无功功率的数学模型。为克服遗传算法在初始种群选取困难和易早熟的问题,对传统遗传算法进行了创新性改进。在改进后的IEEE 14节点系统和IEEE 39节点系统上进行系列实验验证,所提改进遗传算法展现出显著的实用性和有效性。该算法能够有效优化电网的无功功率,显著提升电网运行的稳定性和效率,为电网无功优化提供了一种新的解决方案。
文摘以统一潮流控制器(unified power flow controller,UPFC)为代表的灵活交流输电技术(flexible AC transmission system,FACTS)可实现传输功率的合理分布、优化系统资源,提高系统的稳定性和可靠性。该文基于内点优化方法,提出计及UPFC的无功优化模型,以系统有功网损最小为目标函数,采用UPFC电压源模型,将其作用等效为一系列电压和功率的约束,直接放到内点法的约束中,在不同的负荷运行方式下进行优化分析。在IEEE-30节点系统测试中发现,引入UPFC后系数矩阵的维数会有所增加,但不会影响其收敛性。算例就系统网损和电压指标对装设UPFC前后进行比较,并给出最优控制方案下UPFC的参数值。结果表明该方法是可行的、有效的,取得很好的效果。
文摘如何根据电网的拓扑结构和实时负荷合理地确定柔性交流输电系统(flexible AC transmission systems,FACTS)装置的配置成为近年研究热点。为了能够在计算无功补偿的过程中考虑影响配置的多种因素,提出了多目标无功优化的计算方法。通过遗传算法,以有功功率损耗和投资这两个目标函数建立多目标数学寻优模型,并设定节点电压偏差评价函数为约束破坏函数。分析由前沿曲线得出的折中解可知:经过补偿后网络的有功功率损耗下降超过5%;而且采用遗传算法多目标进行无功配置后不仅能够有效地降低网络的有功功率损耗,还为决策者提供了多种配置选择,使得决策者可以根据实际需要选择恰当合适的补偿配置。在与经济压差法确定无功补偿容量的对比中,多目标优化方法虽然在降低有功功率损耗方面与经济压差法相差无几,但是设备投资则大为节省。
