With the rapid and large-scale development of renewable energy, the lack of new energy power transportation or consumption, and the shortage of grid peak-shifting ability have become increasingly serious. Aiming to th...With the rapid and large-scale development of renewable energy, the lack of new energy power transportation or consumption, and the shortage of grid peak-shifting ability have become increasingly serious. Aiming to the severe wind power curtailment issue, the characteristics of interactive load are studied upon the traditional day-ahead dispatch model to mitigate the influence of wind power fluctuation. A multi-objective optimal dispatch model with the minimum operating cost and power losses is built. Optimal power flow distribution is available when both generation and demand side participate in the resource allocation. The quantum particle swarm optimization (QPSO) algorithm is applied to convert multi-objective optimization problem into single objective optimization problem. The simulation results of IEEE 30-bus system verify that the proposed method can effectively reduce the operating cost and grid loss simultaneously enhancing the consumption of wind power.展开更多
A new versatile optimization, the particle swarm optimization based on multi-agent system (MAPSO) is presented. The economic load dispatch (ELD) problem of power system can be solved by the algorithm. By competing and...A new versatile optimization, the particle swarm optimization based on multi-agent system (MAPSO) is presented. The economic load dispatch (ELD) problem of power system can be solved by the algorithm. By competing and cooperating with the randomly selected neighbors, and adjusting its global searching ability and local exploring ability, this algorithm achieves the goal of high convergence precision and speed. To verify the effectiveness of the proposed algorithm, this algorithm is tested by three different ELD cases, including 3, 13 and 40 units IEEE cases, and the experiment results are compared with those tested by other intelligent algorithms in the same cases. The compared results show that feasible solutions can be reached effectively, local optima can be avoided and faster solution can be applied with the proposed algorithm, the algorithm for ELD problem is versatile and efficient.展开更多
In this paper, the efficient population utilization strategy for particle swarm optimization (EPUSPSO) is proposed to solve the economic load dispatch (ELD) problem of power system. This algorithm improves the accurac...In this paper, the efficient population utilization strategy for particle swarm optimization (EPUSPSO) is proposed to solve the economic load dispatch (ELD) problem of power system. This algorithm improves the accuracy and the speed of its convergence by changing the number of particles effectively, and improving the velocity equation and position equation. In order to verify the effectiveness of the algorithm, this algorithm is tested in three different ELD cases of power system include IEEE 3-unit case, 13-unit case, and 40-unit case, and the obtained results are compared with those obtained from other algorithms using the same system parameters. The compared results show that the algorithm can find the optimal solution effectively and accurately, and avoid falling into the local optimal problem;meanwhile, faster speed can be ensured in the case.展开更多
This paper presents the existing state anddevelopment planning of East China PowerSystem, which refers to load, power source,power network, system protection, dispatchautomation and system communication.
双碳目标下城市电网运行环境和形态出现新的特征,导致城市电网向新型城市电网(new urban power grid,NUPG)转变,仅依靠主网的调控模式难以满足其运行需求,亟须建立对应的NUPG调控体系架构。该文首先从系统论角度,论述新型电力系统出现...双碳目标下城市电网运行环境和形态出现新的特征,导致城市电网向新型城市电网(new urban power grid,NUPG)转变,仅依靠主网的调控模式难以满足其运行需求,亟须建立对应的NUPG调控体系架构。该文首先从系统论角度,论述新型电力系统出现的结构性矛盾,预判城市电网即将出现的新形态和新业态。在此基础上,分析NUPG的几种可能发展模式,构建初级发展模式下的NUPG调控体系架构,分析该架构对应的调控任务、调控对象和需要解决的主要基础性关键技术问题。最后,设计NUPG调控平台,可向下调控内部资源解决内部运行矛盾,向上分担主网调控压力辅助解决系统性问题,有效支撑新型电力系统运行。展开更多
文摘With the rapid and large-scale development of renewable energy, the lack of new energy power transportation or consumption, and the shortage of grid peak-shifting ability have become increasingly serious. Aiming to the severe wind power curtailment issue, the characteristics of interactive load are studied upon the traditional day-ahead dispatch model to mitigate the influence of wind power fluctuation. A multi-objective optimal dispatch model with the minimum operating cost and power losses is built. Optimal power flow distribution is available when both generation and demand side participate in the resource allocation. The quantum particle swarm optimization (QPSO) algorithm is applied to convert multi-objective optimization problem into single objective optimization problem. The simulation results of IEEE 30-bus system verify that the proposed method can effectively reduce the operating cost and grid loss simultaneously enhancing the consumption of wind power.
文摘A new versatile optimization, the particle swarm optimization based on multi-agent system (MAPSO) is presented. The economic load dispatch (ELD) problem of power system can be solved by the algorithm. By competing and cooperating with the randomly selected neighbors, and adjusting its global searching ability and local exploring ability, this algorithm achieves the goal of high convergence precision and speed. To verify the effectiveness of the proposed algorithm, this algorithm is tested by three different ELD cases, including 3, 13 and 40 units IEEE cases, and the experiment results are compared with those tested by other intelligent algorithms in the same cases. The compared results show that feasible solutions can be reached effectively, local optima can be avoided and faster solution can be applied with the proposed algorithm, the algorithm for ELD problem is versatile and efficient.
文摘In this paper, the efficient population utilization strategy for particle swarm optimization (EPUSPSO) is proposed to solve the economic load dispatch (ELD) problem of power system. This algorithm improves the accuracy and the speed of its convergence by changing the number of particles effectively, and improving the velocity equation and position equation. In order to verify the effectiveness of the algorithm, this algorithm is tested in three different ELD cases of power system include IEEE 3-unit case, 13-unit case, and 40-unit case, and the obtained results are compared with those obtained from other algorithms using the same system parameters. The compared results show that the algorithm can find the optimal solution effectively and accurately, and avoid falling into the local optimal problem;meanwhile, faster speed can be ensured in the case.
文摘This paper presents the existing state anddevelopment planning of East China PowerSystem, which refers to load, power source,power network, system protection, dispatchautomation and system communication.
文摘双碳目标下城市电网运行环境和形态出现新的特征,导致城市电网向新型城市电网(new urban power grid,NUPG)转变,仅依靠主网的调控模式难以满足其运行需求,亟须建立对应的NUPG调控体系架构。该文首先从系统论角度,论述新型电力系统出现的结构性矛盾,预判城市电网即将出现的新形态和新业态。在此基础上,分析NUPG的几种可能发展模式,构建初级发展模式下的NUPG调控体系架构,分析该架构对应的调控任务、调控对象和需要解决的主要基础性关键技术问题。最后,设计NUPG调控平台,可向下调控内部资源解决内部运行矛盾,向上分担主网调控压力辅助解决系统性问题,有效支撑新型电力系统运行。
