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With the large-scale renewable energy access to the power grid, the construction and operation state of the power system have been greatly changed. Therefore, the adaptability of power system to deal with the fluctuation and uncertainty of renewable energy is of great significance to ensure the safe and stable operation of the system and promote the consumption of renewable energy. Based on the structural characteristics and operation status of the power system with high proportion of renewable energy, the adaptability index of the system construction and generators capacity is proposed, which takes into account the security, validity, stability and supply-demand balance of the power system, and comprehensively evaluates the acceptance capacity of the system to the renewable energy. On this basis, a multi-objective power system planning model based on grid-source coordination considering both economy and adaptability is established. The optimal scheme is obtained through the comprehensive decision of the optimal scheme set by the nonlinear improved principal component analysis. Finally, the effectiveness of the adaptability index and the planning model is verified by an example simulation with the improved Gaver-18 system.

Lack of effective planning methods is one of the reasons for uneven use of production capacity, the occurrence of unplanned downtime and various types of losses. Small-scale make-to-order productions are characterized by weak workplaces specialization, by the versatility of the equipment used with a wide range of used components. They differ in the presence of repeated processing of part at the same workplaces and in occurrence of “a return flow” in a production system. The article discusses the features of planning due to technological specifics in such enterprises and a significant number of applicable incoming nomenclature items. Existing systems of production planning such Manufacturing Execution System and Advanced Planning & Scheduling System are compared, variants of their algorithmic implementation are proposed. The authors investigated the effectiveness of the application of the developed algorithms for different planning levels - interdepartmental and shop, depending of the size of order book and number of technological operations. The analysis of the conducted research allows us to assert that to provide synchronous scheduling in make-to-order small-scale productions it is necessary to apply combined planning approach using APS-and MES-technologies together.

In order to study the speed planning of the industrial robots trajectory end under different tasks, the three speed planning methods of the third degree polynomial, the fifth degree polynomial and the five-segment S-curve are compared and studied. Analyze the stability and positioning accuracy of the robot’s end motion process in different occasions, and combine the speed and acceleration changes of the three speed planning methods, and recommend the end speed planning method for common tasks such as palletizing, loading and unloading, and grinding. Taking specific tasks as an example, the simulation results verify the rationality of the recommended method.

The article represents crack control research results of horseshoe-shaped fibre reinforced concrete tunnel linings which are constructed by conventional tunneling method on a full cross-section in rocks. Based on linear fracture mechanics an alternative method for estimation of the crack resistance for such kind of linings is proposed. The research was carried out by using the finite element method supported with experiment planning method.

The article provides information about the advantages of using information modeling technologies in the design and construction of facilities for subsoil use enterprises. The data on the state of the art of studying the aspects of the application of information modeling technologies in the field of industrial construction are presented. Recommendations for planning methods and the development of information models of buildings and structures of subsoil use objects are presented on base of the study of existing research. The article also provides information on the test information models of subsoil use industrial facilities which are necessary for the development of recommendations for the choice of levels of the attribute information of elements, for the correct and effective use of models at all stages of the object’s life cycle.

The existing studies on the planning of charging facilities generally neglect the influence of terrain characteristics. First, this study quantifies the transportation characteristics based on the relative height to calculate the travel energy consumption of electric vehicles (EVs) users. Then, the charging demand of EVs is estimated and assigned according to urban traffic flow. Finally, a land purchasing coefficient is proposed based on a functional agglomeration phenomenon. The coefficient is integrated into formulating a planning model with the objective of minimising the total annual social costs. Numerical experiments are conducted to validate the novel planning method. The experimental results verify that the terrain characteristics increase users’ travel energy consumption and limit their driving range.

Electric energy substitution technology is of great significance for optimizing the final energy consumption structure, promoting energy conservation and emission reduction, and preventing air pollution. This paper aims to review the current research status of electric energy substitution technology and related fields, summarize the planning methods of electric energy substitution supporting network, and provide reliable network support for large-scale promotion of electric energy substitution. Firstly, the connotation, strategic significance and characteristics of electric energy substitution technology are summarized, and the basic structure of electric energy substitution technology is proposed. Then, the characteristics of network planning and gridding planning ideas are integrated into the gridding planning framework under the background of electric energy substitution is proposed. Finally, the development challenges of gridding planning methods in the current electric energy substitution background in terms of technology, mechanism and infrastructure are summarized, and looking forward to the development direction of the electric energy replacement supporting network plan under the background of the 14th Five-Year Plan and the new round of power system reform.

In order to solve the problem of frequency planning of VHF radio network, the constraint relation of VHF radio network is analyzed, the inter-network interference optimization model including interference matrix and cost function is established, and a frequency planning method based on tabu search is proposed. Finally, the model and algorithm are analyzed and verified with examples.

Aiming at the problem of the optimal coordinated attack strategy of multi-UAV system against multiple moving targets in a known environment, a PMMAXQ layered reinforcement learning algorithm applied to multi-UAV cooperative attack is proposed. Firstly, the problem of multi-UAV coordinated strike, the successful strike conditions and the movement strategy of moving targets are described. Then the moving targets are allocated rationally through the 0-1 planning method. Finally, the MAXQ algorithm is improved by the Bayesian probability statistical formula. The simulation results show that, compared with the MAXQ algorithm, the PMMAXQ algorithm converges faster and the average cumulative reward value that the UAV can obtain is higher.

Facing the discrete, multi-constrained, non-linear, multi-objective combination optimization problem of distribution network grid planning, some traditional heuristic algorithms such as genetic algorithms sometimes fall into local optimum. This paper proposes a distribution network planning method based on hybrid genetic algorithm The algorithm consists of two stages. In the first stage, the genetic algorithm is used to obtain the initial planning scheme. In the second stage, the initial planning scheme obtained in the first stage is used to form the planned route set. The improved minimum spanning tree method is used to obtain the final planning scheme. In order to make full use of the effective information obtained in the first stage, this paper proposes a transmission line classification method to assess the importance of the transmission line, provide guidance for the second stage, and improve the search efficiency and accuracy. The algorithm solves the problem that heuristic algorithms such as genetic algorithm often fall into local optimization to a certain extent, and the problem of slow convergence when the minimum spanning tree algorithm has a large number of lines to be planned.

The path planning of Multi-AGV does not especially consider the power consumption. Therefore, a new Multi-AGV scheduling planning method based on improved GA(Genetic Algorithm) is proposed. The improvement of this algorithm is showed in three aspects: first, in order to ensure that AGVs have the power to perform the task, the operation of power evaluation is added after each iteration is completed; second, the objective function will have two constraints: first, the minimum total power consumption for all AGV; second, the maximum power consumption of a single AGV is minimal; finally, by changing the mutation operator of the GA, the convergence speed and the convergence of the population are improved. The simulation results show that the improved GA scheduling results are more reasonable, and under the same conditions, AGVs power consumption will be smaller.

Time-triggered Ethernet adds a time-triggered traffic type based on traditional event-triggered best-effort traffic, which extends data traffic into three communication formats, namely time-triggered (TT) messages and rate-constrained (RC) messages and the best-effort (BE) messages. Aiming at the time-triggered Ethernet message scheduling planning problem, this paper first introduces the principle of the SMT solver and the idea of the solver algorithm, and designs constraints for the message scheduling problem. Based on this, the paper introduces a load balancing strategy and a step-by-step iterative conflict backtracking method, designs and completes a time-triggered Ethernet message scheduling algorithm, and then completes scheduling planning for time-triggered traffic and optimization of scheduling results. For the planning results, the paper proposes verification indicators for network load balancing and algorithm solution efficiency, designs a test set for algorithm verification, completes algorithm analysis and verification based on the test set solution results, and determines the algorithm optimization effect.

Due to the interaction between AC and DC systems, the multi-DC feeding receiving-end power grid is prone to have safety and stability problems. Reactive power equipment can improve the transmission capacity of power grid at the same time avoid voltage drop which is gradually applied in receiving-end power grid. In this paper, a polytype dynamic reactive power equipment coordination optimization model based on static and transient voltage stability is proposed, which can be used for dynamic reactive power planning of receiving end power grid to satisfy the safety and stability standards and the minimum investment scheme limited by installation conditions. The guiding significance of the model for dynamic reactive power planning is illustrated by an example of the reactive power planning for the south Suzhou power grid in East China.

The mathematical model of power scheduling in the power systems containing many kinds of energy resources is very complex, for it involves many variables, which result in long solving time and high computation requirement especially in the medium-long time scale planning. The existing monthly energy trade planning methods usually focus on single conventional power energy resource. Therefore, it is difficult to effectively deal with the problem of monthly trading plan with multiple energy sources. To solve the problem above, a new time sequential simulation method is proposed. The method presented in this paper takes into account the output characteristics of renewable energy, the output characteristics of conventional units, load characteristics, peak load regulation characteristics of units, and the operation mode. A novel monthly trading planning model which can satisfy the energy saving generation dispatch is presented and is solved using the presented time sequential simulation method by which the power operation is optimized time interval by time interval. The simulation results verify that the presented model and solving method is reasonable and effective. The comprehensive generation costs can be reduced and the social benefits can be improved by using the presented model and method in the process of monthly planning.

The last few years have seen a number of technical and clinical advances which give rise to a need for innovations in dose optimization and delivery strategies. Technically, a new generation of digital linac has become available which offers features such as programmable motion between station parameters and high dose-rate Flattening Filter Free (FFF) beams. Current inverse planning methods are designed for traditional machines and cannot accommodate these features of new generation linacs without compromising either dose conformality and/or delivery efficiency. Furthermore, SBRT is becoming increasingly important, which elevates the need for more efficient delivery, improved dose distribution. Here we will give an overview of our recent work in SPORT designed to harness the digital linacs and highlight the essential components of SPORT. We will summarize the pros and cons of traditional beamlet-based optimization (BBO) and direct aperture optimization (DAO) and introduce a new type of algorithm, compressed sensing (CS)-based inverse planning, that is capable of automatically removing the redundant segments during optimization and providing a plan with high deliverability in the presence of a large number of station control points (potentially non-coplanar, non-isocentric, and even multi-isocenters). We show that CS-approach takes the interplay between planning and delivery into account and allows us to balance the dose optimality and delivery efficiency in a controlled way and, providing a viable framework to address various unmet demands of the new generation linacs. A few specific implementation strategies of SPORT in the forms of fixed-gantry and rotational arc delivery are also presented.