Cross-provincial Cross-region Power Trading Optimization Modeling

2020 ◽  
Vol 13 (8) ◽  
pp. 1183-1189
Author(s):  
Jing-wen Chen ◽  
Yan Xiao ◽  
Hong-she Dang ◽  
Rong Zhang
Keyword(s):  
Network Flow ◽  
Optimal Allocation ◽  
Route Optimization ◽  
Regional Power ◽  
Power Resources ◽  
Gray Theory ◽  
Power Trading ◽  
Study Results ◽  
Multi Agent ◽  
Regional Economic Disparities

Background: China's power resources are unevenly distributed in geography, and the supply-demand imbalance becomes worse due to regional economic disparities. It is essential to optimize the allocation of power resources through cross-provincial and cross-regional power trading. Methods: This paper uses load forecasting, transaction subject data declaration, and route optimization models to achieve optimal allocation of electricity and power resources cross-provincial and cross-regional and maximize social benefits. Gray theory is used to predict the medium and longterm loads, while multi-agent technology is used to report the power trading price. Results: Cross-provincial and cross-regional power trading become a network flow problem, through which we can find the optimized complete trading paths. Conclusion: Numerical case study results has verified the efficiency of the proposed method in optimizing power allocation across provinces and regions.

scholarly journals Optimal Scheduling of a Regional Power System Aiming at Accommodating Clean Energy

2021 ◽  
Vol 13 (4) ◽  
pp. 2169
Author(s):  
Xing Chen ◽  
Suhua Lou ◽  
Yanjie Liang ◽  
Yaowu Wu ◽  
Xianglu He
Keyword(s):  
Power System ◽  
Optimal Allocation ◽  
Clean Energy ◽  
Optimal Scheduling ◽  
Regional Power ◽  
Penalty Cost ◽  
Purchase Cost ◽  
Efficient Resource ◽  
Distribution Of Resources ◽  
Tie Line

The regional power system is an essential mechanism to solve the unbalanced distribution of resources and achieve more efficient resource allocation. In this paper, an optimal scheduling model of the regional power system is developed, to maximize social welfare and minimize clean energy electricity curtailment. This model can realize the optimal allocation of power generation resources and the maximum accommodation of multiple types of clean energy, by minimizing the sum of the electricity purchase cost and the dynamic penalty cost of clean energy. Meanwhile, it considers the modeling of the key AC/DC hybrid tie-line in the regional power grid. To this end, the modeling methods of power transmitted by AC/DC tie-line, the net loss of the tie-line, the stair-like operation of the DC tie-line power, the operation constraints of the DC tie-line are proposed. Then a simulation example study is conducted to verify the effectiveness of the model, which proves that the regional power system can stimulate the resource optimization potential better than the provincial power system.

scholarly journals Optimal allocation of power resources considering consumption of clean energy

2021 ◽  
Vol 804 (3) ◽  
pp. 032014
Author(s):  
Dunnan Liu ◽  
Hua Li ◽  
Tingting Zhang ◽  
Lingxiang Wang
Keyword(s):  
Optimal Allocation ◽  
Clean Energy ◽  
Power Resources

Optimization of Voltage and Reactive Power in Regional Power Network Based on MCR

2014 ◽  
Vol 986-987 ◽  
pp. 394-399
Author(s):  
Xue Yong Xu ◽  
Pan Zhou ◽  
Qi Zhe Huang ◽  
Chun Ming Deng ◽  
Meng Meng Shi ◽  
...  
Keyword(s):  
Reactive Power ◽  
Power Transmission ◽  
Power Grid ◽  
Magnetic Control ◽  
Power Network ◽  
Regional Power ◽  
Immune Genetic Algorithm ◽  
Power Sources ◽  
Power Resources ◽  
Hierarchical Partition

Along with the increasing use of cables in power grid and the increasing ration of distributed power sources’ synchronization, such as small hydropower’s synchronization, increasing the reactive power transmission on the line, make it difficult to achieve the balance of reactive hierarchical partition. Take a certain region’s power grid for actual examples, after the installation of magnetic control reactor (MCR), using immune genetic algorithm (IGA) to coordinate the capacity of magnetic control reactor and the existing reactive power resources, the results show that the magnetic control reactor does much good to absorb the system’s excessive reactive power and limit the voltage’s increasing.

scholarly journals Optimizing Route for Hazardous Materials Logistics Based on Hybrid Ant Colony Algorithm

2013 ◽  
Vol 2013 ◽  
pp. 1-6 ◽  
Author(s):  
Haixing Wang ◽  
Guiping Xiao ◽  
Zhen Wei
Keyword(s):  
Optimization Model ◽  
Network Flow ◽  
Road Network ◽  
Ant Colony Algorithm ◽  
Hazardous Materials ◽  
Construction Rule ◽  
Ant Colony ◽  
Route Optimization ◽  
Total Cost ◽  
Risk Limits

Optimizing Route for Hazardous Materials Logistics (ORHML) belongs to a class of problems referred to as NP-Hard, and a strict constraint of it makes it harder to solve. In order to dealing with ORHML, an improved hybrid ant colony algorithm (HACA) was devised. To achieve the purpose of balancing risk and cost for route based on the principle of ACA that used to solve TSP, the improved HACA was designed. Considering the capacity of road network and the maximum expected risk limits, a route optimization model to minimize the total cost is established based on network flow theory. Improvement on route construction rule and pheromone updating rule was adopted on the basis of the former algorithm. An example was analyzed to demonstrate the correctness of the application. It is proved that improved HACA is efficient and feasible in solving ORHML.

scholarly journals Evaluation of a Multi-Objective Genetic Algorithm for Low Impact Development in an Overcrowded City

Water ◽  
2019 ◽  
Vol 11 (10) ◽  
pp. 2010 ◽  
Author(s):  
Hao-Che Ho ◽  
Shih-Wei Lin ◽  
Hong-Yuan Lee ◽  
Cheng-Chia Huang
Keyword(s):  
Genetic Algorithm ◽  
Urban Areas ◽  
Optimal Allocation ◽  
Low Impact Development ◽  
Return Periods ◽  
Detention Ponds ◽  
Study Region ◽  
Multi Objective ◽  
Multi Objective Genetic Algorithm ◽  
Study Results

Sustainability and resilience are up-to-date considerations for urban developments in terms of flood mitigation. These considerations usually pose a new challenge to the urban planner because the achievement of a sustainable design through low impact development (LID) practices would be affected by the selection and the distribution of them. This study proposed a means to optimize the distribution of LIDs with the concept of considering the reduction of the flood peak and the hydrologic footprint residence (HFR). The study region is a densely populated place located in New Taipei City. This place has been developing for more than 40 years with completive sewer systems; therefore, the design must consider the space limitations. The flood reduction induced by each LID component under different rainfall return periods was estimated, and then the detention ponds were also conducted to compare the improvements. The results showed that the performance of LIDs dramatically decreased when the return periods were larger than ten years. A multi-objective genetic algorithm (MOGA) was then applied to optimize the spatial distribution of LIDs under different budget scenarios, and to decide the priority of locations for the LID configuration. Finally, the Monte Carlo test was used to test the relationship between the optimal space configuration of LIDs and the impermeability of the study region. A positive correlation was uncovered between the optimal allocation ratio and the impermeable rate of the partition. The study results can provide general guidelines for urban planners to design LIDs in urban areas.

Study on the Soil Erosion Dynamic Changes in Songhuajiang River Watershed Based on RS and GIS

2011 ◽  
Vol 347-353 ◽  
pp. 1268-1271
Author(s):  
Feng Wen Gong ◽  
Li Yuan
Keyword(s):  
Soil Erosion ◽  
Optimal Allocation ◽  
Local Economy ◽  
Land Use Pattern ◽  
Dynamic Changes ◽  
Data Resource ◽  
Landsat Tm Image ◽  
Rs And Gis ◽  
Study Results ◽  
Micro Level

Based on the RS and GIS, the main data resource of Landsat TM image (1995 and 2005a) was used to study the soil erosion’s spatial-temporal dynamic changes. The results shown that: the reduced area of micro-level and slight soil erosion was 190.8 and 640 km2; the increased area of moderate and intensity soil erosion was 168 and 663 km2, the preserving ratio of micro-level erosion was greatest, intensity soil erosion’s persevering ratio was smallest, the transfer-out probability from intensity to micro-level soil erosion was greatest, the study results could give us some advice on making rational use of land and improving land use pattern the optimal allocation during developing the local economy.

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