Path optimizing of UAV inspection for 500kV AC transmission line cup-tower based on ant colony algorithmGuo, Hao; Liu, Shushan; Xu, Li; Wang, Zhigang; Li, Hui; Chen, Bin
doi: 10.1088/1742-6596/2598/1/012001pmid: N/A
To ensure unmanned aerial vehicles (UAVs) complete the inspection task of a high-voltage transmission line safely and effectively, it is necessary to consider the interference of a complicated electromagnetic field near a high-voltage transmission line and determine a reasonable inspection distance and path of the UAV. Taking the 500kV EHV AC power line as an instance, firstly, the three-dimensional model of the 500kV ZV1 cup-tower is built, and the finite element method (FEM) is used for computing the electric field and magnetic field of the UAV exterior. According to inspection specifications, the electromagnetic field protection threshold of the UAV is determined, and then the safety area between UAV and the split conductor is determined to be equal to 1.5 m. Combined with the UAV shooting field of view and safety distance, the spatial positions of UAV hovering shooting points are selected to ensure that UAV flies in a safe area. Finally, the path of UAV traversing hovering shooting points is optimized by the ant colony algorithm (ACO), and the optimal path distance is 109.4 m.
MPC-based energy management strategy for a substation PEDF SystemZhao, Chongjuan; Wang, Chang; Jiang, Jianjie; Lei, Yusong; Zhu, Sicheng; Wei, Shutian; Zhan, Ruifeng; Hu, Yuying; Ke, Ji
doi: 10.1088/1742-6596/2598/1/012005pmid: N/A
According to the optimal scheduling and balanced utilization of power generation units, energy storage, and flexible loads in the PEDF(photovoltaic, energy storage, direct current and flexibility) system of a substation, and realizing stable operation with different time scales and operation modes, this paper proposes a hierarchical control framework, which includes energy management layer, power conversion layer, stability control layer, and an MPC-based energy management strategy based control. Among them, the energy management system uses the prediction of the absorbed power and current of the distributed generation units and loads, and based on the technology of model predictive control to generate the optimal reference power and decision variables for the system to decide the on/off of the system’s dispatchable generation unit and the operation mode of photovoltaic and battery. Finally, the proposed control architecture and strategy are validated by a substation PEDF system.
Research on the low-carbon dispatching method of a distribution system based on carbon emission flow theoryLv, Xiangyu; Ji, Xiu; Wang, Jiarui; Qi, Chenglong; Liu, Chang
doi: 10.1088/1742-6596/2598/1/012008pmid: N/A
The concept of carbon stream emissions analysis of energy networks has brought a new research direction for low-carbon power. It is an urgent problem to solve the distribution of carbon stream emissions in the energy network accurately and systematically according to the results of power flow calculation. Using the carbon stream emissions theory, the distribution network system’s carbon stream emissions flow is studied in terms of its distribution law and calculation features. The similarities and differences with power flow calculation are compared further. The carbon stream emissions analysis model is established. On this basis, the energy network flow carbon stream emissions of the energy network are optimized using particle swarm optimization algorithm with the lowest carbon emission of the distribution network as the optimization target function with the reactive power compensator as the execution unit and verified by the IEEE33-bus system. The model suggested can offer useful guidance and reference for setting up the optimal low-carbon operation method for the distribution network.
Economic Operation of Multi-terminal Interlinking Microgrid Based on the Decentralized ProtocolWang, Zeyi; Zhang, Weihua; Xu, Weijin; Zhang, Jiajun; Wang, Panbao
doi: 10.1088/1742-6596/2598/1/012006pmid: N/A
This paper develops a decentralized control strategy based on an interlinking converter to realize the global economic optimal operation of a multi-terminal interlinking microgrid (MG). The control objective is to minimize the total generation cost (TGC) of the interlinking microgrid system. The proposed control is composed of local and global controllers, which deal with sub-MG and interlinking MG systems respectively. The local controller regulates the incremental cost (IC) value matching in the sub-microgrid based on the nonlinear dynamic droop control with equal IC to achieve the optimal load power distribution in the local DG units. The global controller controls BIC through the bus voltage signal to match the IC value of the entire interlinking MG system in a decentralized form, which significantly improves the reliability and scalability of the system and achieves the global optimal economic optimal operation under the condition of meeting the power demand and production constraints. The feasibility and superiority of the proposed controller are verified by PLECS under various test cases.
SO3 removal rate and emission test of the limestone-gypsum wet desulfurization system for coal-fired power plantsHan, Yuan; Zhu, Yujie
doi: 10.1088/1742-6596/2598/1/012014pmid: N/A
This paper studies the SO3 removal ability of dual tower wet desulfurization (in series) and adopts a combination of on-site flue gas sampling and laboratory condensation control. A dual tower (series) supported boiler is used. The SO3 content in the original and clean flue gas of the dual cycle wet desulfurization device was measured, and the removal rate of SO3 of the device was measured. Desulfurization is calculated on the basis of the influence of unit electrical load, coal sulfur content, and desulfurization (raw material flue gas) inlet particle concentration on removal rate. This paper discusses and analyzes the SO3 and SO3 emission concentrations for SO3 removal rules in desulfurization systems. The results indicate that the total sulfur content of coal is relatively high, and the concentration of SO3 is relatively high. The traditional flue gas and net flue gas content in the dual tower wet desulfurization system (series) is relatively high. When burning sulfur-containing coal, there may be “blue smoke” in the flue gas. When the unit load changes between 182 MW and 350 MW, the SO3 removal rate of dual tower wet desulfurization (in series) is between 46.7% and 65.3%, with a net flue gas SO3 concentration of 16.0 mg/m3∼20.5 mg/m3. Due to equipment layout and other reasons, the SO3 removal rate of the primary tower is lower than that of the secondary tower. The removal rate of SO3 is also affected by the concentration of original smoke particles. Due to the condensation of SO3 on the particles and the dust removal of the adsorption tower, the higher the concentration of raw flue gas particles is, the higher the removal rate is. SO3 will be higher. The study also suggests the SO3 removal ability of double tower (series) and double ring wet desulfurization, which is better adapted to changes in load and coal. The next step is to explore the SO3 removal capacity of the dual tower system by optimizing its operating parameters. In addition, due to the arrangement of a desulfurization system after dust removal, it is impossible to control the SO3 source. Subsequent research can control the production of existing SO3 through coal distribution and combustion control.
Correlation and K-means clustering based small current ground fault line selection algorithmGao, Wenli; Xi, Dongmin; Zheng, Linan
doi: 10.1088/1742-6596/2598/1/012010pmid: N/A
The existing small current grounding line selecting technique has consequences by transition resistance, fault closure angles, and the fault location, and there is a problem of low selection accuracy, which is addressed by proposing a line-choosing algorithm that employs a combination of transient zero-sequential current (TZSC) waveform correlation and K-means clustering. First, to obtain the correlation coefficient matrix, the correlation analysis is performed for each line of the zero-sequence currents transient measurement values; second, to address the issue of the difficulties in manually setting the threshold, we apply the K-mean cluster analysis algorithm to group the row vectors of the correlation coefficients matrices; and finally, we output the label of the cluster to realize the fault line selection. Simulation and real-world fault data validate the method, showing that it is independent of transition resistance, fault closure angles, and fault location. It can achieve precise and dependable line selectivity.
Behind-the-Meter Solar Generation Disaggregation Based on Attention Mechanism and Bidirectional Gated Recurrent UnitXu, Yutao; Tan, Zhukui; Zhang, Junwei; Liu, Bin; Tang, Saiqiu
doi: 10.1088/1742-6596/2598/1/012017pmid: N/A
With the rising installed capacity of rooftop PV, there is an urgent need to improve the accuracy of the behind-the-meter solar generation decomposition to realize the local consumption of distributed PV in order to alleviate the grid stability problem caused by the large-scale rooftop PV access. This paper proposes a bidirectional Gated Recurrent Unit neural network based on the Attention mechanism for a behind-the-meter solar generation decomposition model. First, the temporal characteristics of customer net load data are extracted using bidirectional gated recurrent units. Then, the Attention mechanism is introduced to improve the attention to key net load information. Finally, a nonlinear mapping relationship is constructed from net load data to behind-the-meter solar generation. 184 household PV customers in the SGSC dataset are used for the example analysis. The simulation results show that the proposed method does not rely on accurate physical modeling as well as accurate numerical weather forecast data, and has good generalization in scenarios of different climate zones and good adaptability in scenarios of different seasons.
Peer Review Statementdoi: 10.1088/1742-6596/2598/1/011002pmid: N/A
All papers published in this volume have been reviewed through processes administered by the Editors. Reviews were conducted by expert referees to the professional and scientific standards expected of a proceedings journal published by IOP Publishing.• Type of peer review: Single Anonymous• Conference submission management system: Morressier• Number of submissions received: 79• Number of submissions sent for review: 71• Number of submissions accepted: 36• Acceptance Rate (Submissions Accepted / Submissions Received × 100): 45.6• Average number of reviews per paper: 2• Total number of reviewers involved: 13• Contact person for queries:Name: Xuexia YeEmail: [email protected]: AEIC Academic Exchange Information Centre
Design of Market Load Control Mechanism for New Power SystemWang, Jie; Xue, Yiming; Sun, Beibei; Ma, Runpeng; Chen, Siqi
doi: 10.1088/1742-6596/2598/1/012004pmid: N/A
Under the background of energy transformation, China vigorously promotes the construction of a new power system with new energy as the main body. However, the random and volatile power generation characteristics of new energy increase the demand for flexible regulation resources of the system operation. It is difficult to take into account the economy and security of the system operation only by power side regulation resources, so it is necessary to fully tap the potential of flexible adjustment on the demand side and promote the gradual transformation of the source-load mode to the operation mode of source-load interaction. Based on the mature experience of domestic and foreign demand-side response mechanisms, this paper studies the load-side regulation mechanism to provide references for domestic load-side regulation. Aiming at the regulation requirements of the power system, a flexible and efficient load-side regulation mechanism involving large-scale load-side regulation resource aggregation is proposed. This mechanism is designed from four aspects: load regulation of market players, multi-time scale regulation of transactions, regulation form and regulation of capital sources. It is of great significance for breaking the interaction barriers of source and load and forming a market system with an efficient economy, orderly competition and perfect governance.
Optimal configuration for the wind-solar complementary energy storage capacity based on improved harmony search algorithmLi, Jinwei; Wu, Yiming; Li, Dongjie; Liang, Jinzhao; Chen, Haomin; Ma, Yun; Xiong, Feng; Guo, Jianyi
doi: 10.1088/1742-6596/2598/1/012016pmid: N/A
With the increase in the permeability of renewable energy, the randomness and uncertainty of photovoltaic power generation and wind power generation have an impact on the stable operation of the power grid. Energy storage technology can effectively improve the controllability of new energy, but the optimal allocation of energy storage capacity has always been a difficult problem limiting the development of energy storage technology. In this paper, the capacity optimization model of the complementary energy storage system is established based on the analysis of the wind-solar energy storage principle and the energy balance criterion. Then, with the minimum investment cost, the highest economic benefit, low wind and light abandonment rate and low load power shortage rate as the optimization objectives, the harmony search algorithm was used to solve the optimization model under the constraint of stable operation of the system, and the optimal capacity allocation scheme was obtained. The results of the example show that the optimization strategy in this paper can reduce the investment cost of the system and improve the reliability of the power supply and energy efficiency of the system.