In order to form an algorithm for distribution network routing,an automatic routing method of distribution network planning was proposed based on the shortest path.The problem of automatic routing was divided into two...In order to form an algorithm for distribution network routing,an automatic routing method of distribution network planning was proposed based on the shortest path.The problem of automatic routing was divided into two steps in the method:the first step was that the shortest paths along streets between substation and load points were found by the basic ant colony algorithm to form a preliminary radial distribution network,and the second step was that the result of the shortest path was used to initialize pheromone concentration and pheromone updating rules to generate globally optimal distribution network.Cases studies show that the proposed method is effective and can meet the planning requirements.It is verified that the proposed method has better solution and utility than planning method based on the ant colony algorithm.展开更多
Rural power network planning is a complicated nonlinear optimized combination problem which based on load forecasting results, and its actual load is affected by many uncertain factors, which influenced optimization r...Rural power network planning is a complicated nonlinear optimized combination problem which based on load forecasting results, and its actual load is affected by many uncertain factors, which influenced optimization results of rural power network planning. To solve the problems, the interval algorithm was used to modify the initial search method of uncertainty load mathematics model in rural network planning. Meanwhile, the genetic/tabu search combination algorithm was adopted to optimize the initialized network. The sample analysis results showed that compared with the certainty planning, the improved method was suitable for urban medium-voltage distribution network planning with consideration of uncertainty load and the planning results conformed to the reality.展开更多
Target distribution in cooperative combat is a difficult and emphases. We build up the optimization model according to the rule of fire distribution. We have researched on the optimization model with BOA. The BOA can ...Target distribution in cooperative combat is a difficult and emphases. We build up the optimization model according to the rule of fire distribution. We have researched on the optimization model with BOA. The BOA can estimate the joint probability distribution of the variables with Bayesian network, and the new candidate solutions also can be generated by the joint distribution. The simulation example verified that the method could be used to solve the complex question, the operation was quickly and the solution was best.展开更多
In order to resolve the coordination and optimization of the power network planning effectively, on the basis of introducing the concept of power intelligence center (PIC), the key factor power flow, line investment a...In order to resolve the coordination and optimization of the power network planning effectively, on the basis of introducing the concept of power intelligence center (PIC), the key factor power flow, line investment and load that impact generation sector, transmission sector and dispatching center in PIC were analyzed and a multi-objective coordination optimal model for new power intelligence center (NPIC) was established. To ensure the reliability and coordination of power grid and reduce investment cost, two aspects were optimized. The evolutionary algorithm was introduced to solve optimal power flow problem and the fitness function was improved to ensure the minimum cost of power generation. The gray particle swarm optimization (GPSO) algorithm was used to forecast load accurately, which can ensure the network with high reliability. On this basis, the multi-objective coordination optimal model which was more practical and in line with the need of the electricity market was proposed, then the coordination model was effectively solved through the improved particle swarm optimization algorithm, and the corresponding algorithm was obtained. The optimization of IEEE30 node system shows that the evolutionary algorithm can effectively solve the problem of optimal power flow. The average load forecasting of GPSO is 26.97 MW, which has an error of 0.34 MW compared with the actual load. The algorithm has higher forecasting accuracy. The multi-objective coordination optimal model for NPIC can effectively process the coordination and optimization problem of power network.展开更多
A dist ributed optimal local double loop (DOLDL) network is presented. Emphasis is laid on the topology and distributed routing algorithms for the DOLDL. On the basis of building an abstract model, a set of definition...A dist ributed optimal local double loop (DOLDL) network is presented. Emphasis is laid on the topology and distributed routing algorithms for the DOLDL. On the basis of building an abstract model, a set of definitions and theorems are described and proved. An algorithm which can optimize the double loop networks is presented. The optimal values of the topologic parameters for the DOLDL have been obtained by the algorithm, and these numerical results are analyzed. The study shows that the bounds of the optimal diameter d and average hop distance a for this class of networks are [3N- 2]≤d≤[3N ] and (5N/9 (N-1))-(3N -1.8)<a<(5N/9(N-1)) (3N -0.9),respectively (N is the number of nodes in the network ). A class of the distributed routing algorithms for the DOLDL and the implementation procedure of an adaptive fault-tolerant algorithm are proposed and analyzed. The correctness of the algorithm has also been verified by simulating.展开更多
含分布式电源(distributed generation,DG)的双极直流配电系统是未来配电网发展的重要形态之一,但由于DG接入方式、数量、容量、位置以及系统正负极负荷不平衡对系统静暂态电压稳定性影响不同,目前相关研究尚缺乏对此问题的分析。该文...含分布式电源(distributed generation,DG)的双极直流配电系统是未来配电网发展的重要形态之一,但由于DG接入方式、数量、容量、位置以及系统正负极负荷不平衡对系统静暂态电压稳定性影响不同,目前相关研究尚缺乏对此问题的分析。该文首先将DG等效为受控电流源,推导分析了DG接入方式、容量及负荷不平衡度对系统静态下电压不平衡度的影响;其次,基于单极故障下光伏型DG与交流电网暂态放电情况,推导分析了DG接入方式、位置、容量与系统暂态电压稳定性的关系;再者,基于多目标蜣螂优化算法提出以系统静暂态电压稳定性与DG接入成本为目标的DG接入方案规划方法,采用熵权逼近理想解排序法(technique for order preference by similarity to ideal solution,TOPSIS)法筛选出DG接入的最佳折中方案。最后在Matlab/Simulink仿真平台搭建改进IEEE14、IEEE33双极直流配电系统验证该文所提优化方法的普适性和有效性。展开更多
针对传统输电网和主动配电网(active distribution network,ADN)独立的调度方式致使“源-网-荷”各环节资源协同潜力挖掘不充分,难以实现输-配系统经济高效运行的问题,提出了市场环境下考虑配电网络重构和需求响应的输配优化调度方法。...针对传统输电网和主动配电网(active distribution network,ADN)独立的调度方式致使“源-网-荷”各环节资源协同潜力挖掘不充分,难以实现输-配系统经济高效运行的问题,提出了市场环境下考虑配电网络重构和需求响应的输配优化调度方法。首先,剖析电力市场机制下输-配电网间的耦合机理,构建考虑机组组合的输电网市场出清模型,以发挥“源侧”应对电力负荷波动的能力;以节点边际电价为引导信号,提出同时考虑ADN网络重构和需求侧响应的输配协同双层优化模型,旨在挖掘ADN在“网侧”和“荷侧”的双侧协同潜力,从而提高输-配电网中“源-网-荷”各环节资源间的协同能力。其次,针对输-配模型上、下层级的物理特点,采用随机规划L形算法,引入虚拟变量实现输配协同模型的解耦,基于对偶理论,获取反映资源利用情况的对偶乘子集合,进而计算次梯度参数并生成仿射割集,优化输-配耦合变量,加速模型收敛,实现对输-配协同模型的分布式高效求解。最后,以6节点输电网和7节点配电网构成的T6+D7系统和118节点输电网和8个20节点配电网构成的T118+8*D20系统为例,验证所提模型和方法的有效性,研究结果表明:输配系统的整体经济性提升了8.68%,所提模型和方法具有明显优势。展开更多
提出一种基于 prim 算法的改进配电网络规划方法,该方法将网络中负荷点间的最短路径当作已选路径,在采用 prim 算法求取最小生成树的过程中,将选中路径上的交叉点转化为负荷点,解决了 prim 算法不便于处理待选路径的交叉点的问题。该方...提出一种基于 prim 算法的改进配电网络规划方法,该方法将网络中负荷点间的最短路径当作已选路径,在采用 prim 算法求取最小生成树的过程中,将选中路径上的交叉点转化为负荷点,解决了 prim 算法不便于处理待选路径的交叉点的问题。该方法可用于多电源点的配电网络扩展规划。文中讨论了网络规划中线路权重的选取方法,并设计了适用于配电网络的节点—支路邻接表的数据存储结构。经实例验证,该方法可有效减小搜索空间并具有计算速度快等优点。展开更多
基金Project(2009CB219703) supported by the National Basic Research Program of ChinaProject(2011AA05A117) supported by the National High Technology Research and Development Program of China
文摘In order to form an algorithm for distribution network routing,an automatic routing method of distribution network planning was proposed based on the shortest path.The problem of automatic routing was divided into two steps in the method:the first step was that the shortest paths along streets between substation and load points were found by the basic ant colony algorithm to form a preliminary radial distribution network,and the second step was that the result of the shortest path was used to initialize pheromone concentration and pheromone updating rules to generate globally optimal distribution network.Cases studies show that the proposed method is effective and can meet the planning requirements.It is verified that the proposed method has better solution and utility than planning method based on the ant colony algorithm.
文摘Rural power network planning is a complicated nonlinear optimized combination problem which based on load forecasting results, and its actual load is affected by many uncertain factors, which influenced optimization results of rural power network planning. To solve the problems, the interval algorithm was used to modify the initial search method of uncertainty load mathematics model in rural network planning. Meanwhile, the genetic/tabu search combination algorithm was adopted to optimize the initialized network. The sample analysis results showed that compared with the certainty planning, the improved method was suitable for urban medium-voltage distribution network planning with consideration of uncertainty load and the planning results conformed to the reality.
基金This project was supported by the Fund of College Doctor Degree (20020699009)
文摘Target distribution in cooperative combat is a difficult and emphases. We build up the optimization model according to the rule of fire distribution. We have researched on the optimization model with BOA. The BOA can estimate the joint probability distribution of the variables with Bayesian network, and the new candidate solutions also can be generated by the joint distribution. The simulation example verified that the method could be used to solve the complex question, the operation was quickly and the solution was best.
基金Project (70671039) supported by the National Natural Science Foundation of China
文摘In order to resolve the coordination and optimization of the power network planning effectively, on the basis of introducing the concept of power intelligence center (PIC), the key factor power flow, line investment and load that impact generation sector, transmission sector and dispatching center in PIC were analyzed and a multi-objective coordination optimal model for new power intelligence center (NPIC) was established. To ensure the reliability and coordination of power grid and reduce investment cost, two aspects were optimized. The evolutionary algorithm was introduced to solve optimal power flow problem and the fitness function was improved to ensure the minimum cost of power generation. The gray particle swarm optimization (GPSO) algorithm was used to forecast load accurately, which can ensure the network with high reliability. On this basis, the multi-objective coordination optimal model which was more practical and in line with the need of the electricity market was proposed, then the coordination model was effectively solved through the improved particle swarm optimization algorithm, and the corresponding algorithm was obtained. The optimization of IEEE30 node system shows that the evolutionary algorithm can effectively solve the problem of optimal power flow. The average load forecasting of GPSO is 26.97 MW, which has an error of 0.34 MW compared with the actual load. The algorithm has higher forecasting accuracy. The multi-objective coordination optimal model for NPIC can effectively process the coordination and optimization problem of power network.
文摘A dist ributed optimal local double loop (DOLDL) network is presented. Emphasis is laid on the topology and distributed routing algorithms for the DOLDL. On the basis of building an abstract model, a set of definitions and theorems are described and proved. An algorithm which can optimize the double loop networks is presented. The optimal values of the topologic parameters for the DOLDL have been obtained by the algorithm, and these numerical results are analyzed. The study shows that the bounds of the optimal diameter d and average hop distance a for this class of networks are [3N- 2]≤d≤[3N ] and (5N/9 (N-1))-(3N -1.8)<a<(5N/9(N-1)) (3N -0.9),respectively (N is the number of nodes in the network ). A class of the distributed routing algorithms for the DOLDL and the implementation procedure of an adaptive fault-tolerant algorithm are proposed and analyzed. The correctness of the algorithm has also been verified by simulating.
文摘含分布式电源(distributed generation,DG)的双极直流配电系统是未来配电网发展的重要形态之一,但由于DG接入方式、数量、容量、位置以及系统正负极负荷不平衡对系统静暂态电压稳定性影响不同,目前相关研究尚缺乏对此问题的分析。该文首先将DG等效为受控电流源,推导分析了DG接入方式、容量及负荷不平衡度对系统静态下电压不平衡度的影响;其次,基于单极故障下光伏型DG与交流电网暂态放电情况,推导分析了DG接入方式、位置、容量与系统暂态电压稳定性的关系;再者,基于多目标蜣螂优化算法提出以系统静暂态电压稳定性与DG接入成本为目标的DG接入方案规划方法,采用熵权逼近理想解排序法(technique for order preference by similarity to ideal solution,TOPSIS)法筛选出DG接入的最佳折中方案。最后在Matlab/Simulink仿真平台搭建改进IEEE14、IEEE33双极直流配电系统验证该文所提优化方法的普适性和有效性。
文摘针对传统输电网和主动配电网(active distribution network,ADN)独立的调度方式致使“源-网-荷”各环节资源协同潜力挖掘不充分,难以实现输-配系统经济高效运行的问题,提出了市场环境下考虑配电网络重构和需求响应的输配优化调度方法。首先,剖析电力市场机制下输-配电网间的耦合机理,构建考虑机组组合的输电网市场出清模型,以发挥“源侧”应对电力负荷波动的能力;以节点边际电价为引导信号,提出同时考虑ADN网络重构和需求侧响应的输配协同双层优化模型,旨在挖掘ADN在“网侧”和“荷侧”的双侧协同潜力,从而提高输-配电网中“源-网-荷”各环节资源间的协同能力。其次,针对输-配模型上、下层级的物理特点,采用随机规划L形算法,引入虚拟变量实现输配协同模型的解耦,基于对偶理论,获取反映资源利用情况的对偶乘子集合,进而计算次梯度参数并生成仿射割集,优化输-配耦合变量,加速模型收敛,实现对输-配协同模型的分布式高效求解。最后,以6节点输电网和7节点配电网构成的T6+D7系统和118节点输电网和8个20节点配电网构成的T118+8*D20系统为例,验证所提模型和方法的有效性,研究结果表明:输配系统的整体经济性提升了8.68%,所提模型和方法具有明显优势。
文摘提出一种基于 prim 算法的改进配电网络规划方法,该方法将网络中负荷点间的最短路径当作已选路径,在采用 prim 算法求取最小生成树的过程中,将选中路径上的交叉点转化为负荷点,解决了 prim 算法不便于处理待选路径的交叉点的问题。该方法可用于多电源点的配电网络扩展规划。文中讨论了网络规划中线路权重的选取方法,并设计了适用于配电网络的节点—支路邻接表的数据存储结构。经实例验证,该方法可有效减小搜索空间并具有计算速度快等优点。
