An MPC-based Dual-solver Optimization Method for DC Microgrids with Simultaneous Consideration of Operation Cost and Power Loss

2020 ◽  
pp. 1-1 ◽  
Author(s):  
Wenzhe Su ◽  
Shenglong Yu ◽  
Hong Li ◽  
Herbert Iu ◽  
Tyrone Fernando
Keyword(s):  
Power Loss ◽  
Optimization Method ◽  
Dc Microgrids ◽  
Operation Cost

Loss Minimization in Active Distribution Network

2020 ◽  
pp. 119-135 ◽  
Author(s):  
Bawoke Simachew
Keyword(s):  
Power Loss ◽  
Reactive Power ◽  
Electrical Power ◽  
Distribution Network ◽  
Optimization Method ◽  
Energy Utilization ◽  
Optimal Size ◽  
Loss Reduction ◽  
Voltage Profile ◽  
Power Sources

Power loss reduction is an important problem that needs to be addressed with respect to generating electrical power. It is important to reduce power loss using locally generated power sources and/or compensations. This chapter brings a method of presents a method of maximizing energy utilization, feeder loss reduction, and voltage profile improvement for radial distribution network using the active and reactive power sources. Distributed Generation (DG) (wind and solar with backup by biomass generation) and shunt capacitor (QG) for reactive power demand are used. Integrating DG and QG at each bus might reduce the loss but it is economically unaffordable, especially for developing countries. Therefore, the utilization optimization method is required for finding an optimal size and location to feeders for placing QG and DG to minimize feeder loss.

Power Factor Optimization of Distributed Generations in Distribution Networks Based on Improved Particle Swarm Optimization Method

2012 ◽  
Vol 516-517 ◽  
pp. 1408-1413 ◽  
Author(s):  
Cheng Xi Li ◽  
Wen Jun Yan ◽  
Qiang Yang
Keyword(s):  
Particle Swarm Optimization ◽  
Power Factor ◽  
Power Distribution ◽  
Power Loss ◽  
Particle Swarm ◽  
Distribution Networks ◽  
Optimization Method ◽  
Small Scale ◽  
Swarm Optimization ◽  
Power Utilities

The gradually extensive penetration of small-scale distributed renewable generators in existing medium-voltage power distribution networks highlights many technical challenges which call for urgent solutions from power utilities. This paper attempts to optimize the power factor of distributed generators (DGs) integrated in distribution networks and presents a novel algorithmic solution. With the aim of minimizing power loss whilst maintaining the node voltage, the problem is formulated with a mathematical model elaborating the DGs and a set of constraints in distribution networks and addressed through adopting an extended particle swarm optimization (PSO) approach. The suggested algorithm is assessed through numerical simulation experiments with the IEEE 33-bus system and the outcome shows that the optimization algorithm can effectively reduce the power loss and promote the node voltages across the overall distribution network.

The Design Optimization Method of Steam Turbine Cold End in Coal-Fired Power Plant

2013 ◽  
Vol 732-733 ◽  
pp. 301-305
Author(s):  
Yun Min Wang ◽  
Hai Long Ma ◽  
Xi Fu Zhang
Keyword(s):  
Power Plant ◽  
Design Optimization ◽  
Steam Turbine ◽  
Calculation Method ◽  
Cooling Water ◽  
Optimization Method ◽  
Economic Operation ◽  
Investment Cost ◽  
Turbine Output ◽  
Operation Cost

The design optimization of steam turbine cold end is an important measure to ensuring safety and economic operation of the unit. Based on the universal calculation method of steam turbine output correction, considering investment cost, operation cost, cooling water expenditure and hot pollution cost, the design optimization of steam turbine cold end was carried out. An example of the domestic 300MW unit was presented to show the validity of this method. The design optimization results can be used as a foundation for the equipment selection and inviting bid documents compilation of steam turbine cold end in coal-fired power plant.

Optimization Method of Reactive Power Generation in Wind Plant Based on DE Algorithm

2014 ◽  
Vol 953-954 ◽  
pp. 543-551
Author(s):  
Peng Sun ◽  
Ming Wu Luo ◽  
Chao Xia Sun
Keyword(s):  
Power Loss ◽  
Reactive Power ◽  
Power Optimization ◽  
Optimization Method ◽  
Reactive Scheduling ◽  
Power Demand ◽  
Reactive Power Optimization ◽  
De Algorithm ◽  
Node Voltage ◽  
Optimization Scheduling

Reactive power optimization scheduling problem of wind plant including capacitor and fan is researched in this paper. According to the structure of the wind plant to set different scenarios , aiming at minimizing the reactive power loss , establish the reactive power optimization mathematical model of the wind plant, calculate the optimal reactive power of wind turbine in different positions , minimize the reactive power loss inside wind plant under the constraints of the offset range of node voltage and the reactive power demand of grid. Through the analysis of examples,clear whether a reasonable reactive scheduling scheme can be getted, and present the optimization result . Keywords: Wind plant,Reactive power optimization scheduling,DE algorithm

Heuristic Optimization Algorithms for Power System Scheduling Applications

2020 ◽  
pp. 178-205
Author(s):  
Anongpun Man-Im ◽  
Weerakorn Ongsakul ◽  
Nimal Madhu M.
Keyword(s):  
Power System ◽  
Power Loss ◽  
Optimization Method ◽  
Heuristic Optimization ◽  
Scheduling Problems ◽  
Swarm Optimization ◽  
Trade Off ◽  
Fuzzy Function ◽  
Power System Scheduling ◽  
Search Capability

Power system scheduling is one of the most complex multi-objective scheduling problems, and a heuristic optimization method is designed for finding the OPF solution. Stochastic weight trade-off chaotic mutation-based non-dominated sorting particle swarm optimization algorithm can improve solution-search-capability by balancing between global best exploration and local best utilization through the stochastic weight and dynamic coefficient trade-off methods. This algorithm with chaotic mutation enhances diversity and search-capability, preventing premature convergence. Non-dominated sorting and crowding distance techniques efficiently provide the optimal Pareto front. Fuzzy function is used to select the local best compromise. Using a two-stage approach, the global best solution is selected from many local trials. The discussed approach can schedule the generators in the systems effectively, leading to savings in fuel cost, reduction in active power loss and betterment in voltage stability.

3D Magnetic Field and Temperature Rise Analysis of Dry-Type Transformer Based on Finite Element Method

2014 ◽  
Vol 945-949 ◽  
pp. 181-184
Author(s):  
Hui Xu ◽  
Zhong Dong Yin
Keyword(s):  
Finite Element ◽  
Power Loss ◽  
Simulation Method ◽  
Optimization Method ◽  
High Heat ◽  
Working Capacity ◽  
High Mechanical Strength ◽  
Finite Element Software ◽  
Design Cycle ◽  
Grid Construction

Dry-type transformer is a high electric strength, high mechanical strength and high heat intensity transformer. With the acceleration of our city and countryside grid construction and the energy saving requirement in power industry, the application of dry-type transformer is expanding. Also, society proposes a higher standard in dry-type transformer. To improve its working capacity and reduce power loss further, we need to analyses its inner working conditions. This thesis uses finite element software ANSYS to build a model of dry-type transformer and gets its power loss and temperature distribution under different working capacity. After comparing this simulation results with experimental results, the accuracy of simulation method is proved. This simulation provides a structure optimization method of dry-type transformer. It can reduce design cycle and cost, help to spread the application of dry-type transformer.

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