118 results about "Piecewise linearization" patented technology

A source-grid-load-hydrogen storage multi-stage planning method and system considering flexible resources, relating to the technical field of source-grid-load-hydrogen storage system planning. The method comprises: collecting source-grid-load-hydrogen storage data for data preprocessing; constructing a flexibility supply and demand characteristic model and a source-grid-load-hydrogen storage multi-stage dynamic planning model; calling a solver to solve the source-grid-load-hydrogen storage multi-stage dynamic planning model to obtain an optimal solution; and outputting a multi-stage source-grid-load-hydrogen storage investment result, a multi-stage source-grid-load-hydrogen storage operation policy, and a multi-stage flexibility supply evaluation result within a planning period. Using the minimization of investment costs, operation costs, and insufficient flexibility penalty costs within the whole planning period as target functions, various constraints such as a new energy permeability constraint and a load loss rate constraint are introduced, a dynamic planning method is proposed, and a source-grid-load-hydrogen storage multi-stage planning solution that has sufficiently economical planning operation and is sufficiently flexible is obtained. According to a processing method based on piecewise linearization, the model is simplified, and the computation speed is increased.

The invention relates to the technical field of sensors, and discloses a temperature compensation method based on a silicon resonance pressure sensor. According to the method, real-time temperature drift data is collected through a sliding time window, and a temperature sensitive area and a temperature non-sensitive area are accurately identified; establishing a coupling model of zero drift and full scale drift in the temperature sensitive area; then, piecewise linearization processing is conducted on the coupling model through a dynamic weight distribution strategy, and high-precision temperature compensation parameters are generated; and finally, according to the environment temperature value detected in real time, automatically calling the temperature compensation parameter of the corresponding segment, and carrying out real-time dynamic correction on the original output value of the sensor. According to the method, through region identification and model coupling of temperature drift characteristics, fine division and adaptive matching of a compensation strategy are realized, and the measurement precision and long-term stability of the silicon resonance pressure sensor in a wide temperature range are improved.

The invention discloses a design and control method of a wheel-leg balance robot capable of actively jumping. The design of the wheel-legged balance robot is based on a planar parallel five-bar mechanism, the leg structure design and the wheel train structure design of the wheel-legged balance robot suitable for active jumping are comprehensively considered, and various sensor modules are adopted for sensing, so that the robot can autonomously jump on complex obstacle road sections; meanwhile, the diameter of the wheel and the torque of the motor are designed in a matched mode, so that the robot has high trafficability; a joint motor connecting structure is improved, so that the design strength of a leg structure is improved; an inverted pendulum model containing a wheel-leg mixed structure is used for fitting robot motion, an LQR control algorithm is adopted for processing a nonlinear system through piecewise linearization, and reference input is added to achieve trajectory tracking.

The invention discloses an offshore wind power plant micro-siting optimization method considering regular layout. The method comprises the following steps: firstly, obtaining wind data, wind power plant parameters, fan parameters and wake flow parameters; performing multi-angle rotation on the wind power plant based on an equivalent rotation coordinate method, constructing a gridding mixed integer quadratic programming model, and performing rotation rule layout optimization (RRLO-1) to obtain an initial fan layout; on the basis of the initial layout, a hybrid algorithm (GA-ISSA) of a genetic algorithm and a sparrow search algorithm is adopted, the position of a draught fan and the rotation angle of the wind power plant are finely adjusted, and fine rule layout optimization (RRLO-2) is completed; and finally, the wake flow influence is calculated through a Cosine wake flow model and a quadratic sum superposition model, a fan power curve is processed in a piecewise linearization mode, and the final layout is output by taking the maximization of the total generating capacity as the target. According to the method, a fan position configuration scheme meeting the engineering rule layout requirement is provided for early-stage planning of the offshore wind plant, the wake effect is reduced, the power generation efficiency is improved, and development of the offshore wind power industry and low-carbon target implementation are facilitated.

The invention relates to the technical field of power system automation, in particular to a climbing-frequency modulation coordinated optimization method and system considering energy storage capacity uncertainty, and the method comprises the steps: building an opportunity constraint model of an energy storage system based on the capacity uncertainty, and enabling the opportunity constraint model to be used for describing a reliable feasible region under the deviation of energy storage electric quantity; establishing an energy storage system linearization model considering a climbing-frequency modulation power unified constraint, and realizing power coupling and sharing constraint description of two types of adjustment services; aiming at the nonlinear characteristic of the gradeability of the thermal power generating unit, establishing a piecewise linearization model of the gradeability by adopting a piecewise linearization method; and establishing a thermal power-energy storage combined climbing-frequency modulation coordinated optimization model, and solving the optimization model by adopting a quadratic programming method to obtain the climbing power and frequency modulation reserve capacity of the thermal power generating unit and energy storage. According to the method, the actual available range of the energy storage system capacity can be dynamically reflected, the electric quantity out-of-limit risk caused by the uncertainty of the energy storage capacity is avoided, and the reliability of the scheduling result is improved.

The invention relates to an intelligent industrial control parameter self-tuning method and equipment. The method comprises the following steps: performing piecewise linearization processing on an actuator input and output characteristic curve in the industrial control system, constructing an upper-layer agent model and a lower-layer agent model, and combining to obtain a system dynamic characteristic prediction model; performing state observer design and gain matrix optimization on the industrial control system based on the system dynamic characteristic prediction model to obtain a system state observation vector and an interference compensation vector; inputting the system state observation vector and the interference compensation vector into a fixed time convergence controller for control parameter calculation to obtain a system control input matrix; and performing adaptive gradient descent operation and momentum item optimization on the system control input matrix, and outputting an optimal control parameter matrix in combination with the system dynamic characteristic prediction model. According to the invention, real-time automatic adjustment of the control parameters is realized, the steady-state error of the system is effectively reduced, and the control performance of the control system under different working conditions is ensured.

The invention relates to the technical field of comprehensive energy systems, in particular to an optimal scheduling method, device and equipment for a comprehensive energy system and a medium, and the method comprises the steps: carrying out mechanism modeling on a hydrogen fuel cell, and carrying out the quantitative analysis of the variable working condition cogeneration characteristics of the hydrogen fuel cell in a feasible region through a piecewise linearization method; taking the minimum sum of the stepped carbon transaction cost, the energy purchase cost and the wind curtailment cost as a target, and establishing a target function of the integrated energy system optimization scheduling considering the thermoelectric variable working condition characteristics of the hydrogen fuel cell; establishing an optimization scheduling constraint condition considering the thermoelectric coupling hydrogen fuel cell; on the basis of a thermoelectric coupling curve obtained by the mechanism model, constructing a comprehensive energy system scheduling model considering the thermoelectric variable working condition characteristics of the hydrogen fuel cell by using a target function and constraint conditions; and solving the integrated energy system scheduling model to obtain the integrated energy system optimal scheduling method. Efficient integration and utilization of renewable energy sources, hydrogen energy and other clean energy sources are promoted.

The invention relates to the technical field of power dispatching, and provides a multi-data center microgrid dispatching method considering carbon quota and data load interaction in order to solve the problem of multi-data center microgrid distributed and two-stage robust collaborative optimization comprehensively considering carbon quota and data load interaction in an uncertain environment. The method comprises the following steps: step 1, establishing a multi-data center microgrid collaborative operation scene containing carbon quota and data load interaction; step 2, establishing a data center microgrid DCM two-stage robust optimization scheduling model; 3, performing linearization conversion on nonlinear constraints contained in constraint conditions in the scheduling model by adopting a piecewise linearization method; 4, performing equivalent conversion on the ellipsoid uncertainty set by adopting a binary variable expansion method; and 5, on the basis of comprehensively considering the participation of the DCM in carbon quota and data load interaction, performing profit distribution by adopting an asymmetric Nash negotiation model. The method is mainly applied to power dispatching occasions.

The ELM-based frequency safety constraint linearization optimization scheduling method comprises the following steps: establishing a fire-wind-light multi-energy complementary frequency dynamic response model, and deducing a time domain analytical expression of a frequency safety index by taking a frequency maximum change rate and a frequency maximum deviation as the frequency safety index of a system; considering a frequency lowest point security constraint and a frequency maximum change rate security constraint, and establishing a frequency security constraint-containing optimization scheduling model; a maximum bearable disturbance power linearization mapping method based on ELM is provided, nonlinear frequency security constraints are converted into a series of linear constraint sets, and linearization processing of the frequency security constraints is achieved; and piecewise linearization is carried out on quadratic terms in the established objective function containing the frequency security constraint optimization scheduling model, the overall model is converted into a mixed integer linear model, and a Gurobi solver is used to solve the linearly processed model. The scheduling method can ensure that the system frequency is safe and stable, so that the established optimal scheduling model gives consideration to both economy and frequency safety.

The invention discloses an electric power-traffic-information network joint planning method and system, and the method comprises the steps: firstly, building a communication network model considering the traffic flow in consideration of the demands of a large-scale growth intelligent electric vehicle for communication; the method comprises the following steps: firstly, simulating the influence of node traffic flow on communication requirements under a user equilibrium condition by coupling a traffic network and an information network, secondly, effectively coupling a power-traffic-information network through the power consumption of infrastructures in the traffic network and the information network, establishing a joint planning model in order to minimize the total construction cost and the operation cost, and finally, establishing a joint planning model. And converting the model into a mixed integer linear programming model by utilizing piecewise linearization and a large M method, and solving to obtain an optimal programming strategy of the power-traffic-information network. According to the method, a joint programming model is simplified into a mixed integer linear programming model, the solving difficulty is remarkably reduced, and three-network collaborative optimization is achieved.

The invention belongs to the technical field of co-scheduling of a river water path hydrogen chain and a watershed power system thereof, and particularly relates to a medium and long-term scheduling method of a power system fused with a flexible water path hydrogen chain. Comprising the following steps: establishing THPE operation constraints considering upstream river water level influence; the influence of the seasonal water level of the river channel on HV navigation conditions is considered, and HV space-time energy transfer constraints are constructed; taking the lowest operating cost of the waterway hydrogen chain and the watershed power system thereof as an objective function, and proposing a medium-and-long-term scheduling model of the waterway hydrogen chain watershed power system; the influence of the hydrogen carrying capacity of the hydrogen transport ship on the real-time hydrogen charging and discharging rate is considered, and a precision self-adaptive piecewise linearization method is designed to improve the solving efficiency; processing the nonlinear constraint of the model by adopting a linearization method, and solving the scheduling model to obtain an optimization strategy; according to the optimization strategy, medium-and-long-term cooperative operation of the waterway hydrogen chain and the watershed power system thereof is guided. According to the method, the cooperative scheduling capability and economical efficiency of the hydrogen-electricity system can be remarkably improved.

The invention provides a collaborative optimization scheduling strategy of an electric-thermal-hydrogen comprehensive energy system in a differentiated operation mode. The method comprises the following steps: firstly, establishing an electricity-hydrogen-heat comprehensive energy system, and respectively establishing WEHP module unified operation models of three electrolysis technologies, an HFC model considering thermoelectric coupling, an HSD model and a heat energy circulation system model; in an off-grid operation mode, supply and demand balance of electric power and heat energy is considered, and an objective function and corresponding constraints for minimizing the daily operation cost of the IES are designed. In a grid-connected operation mode, the IES participates in market transaction according to time-of-use electricity price and hydrogen energy transaction price, a target function considering electric power and hydrogen energy transaction cost is designed, and electric energy balance and tie line power constraint are established. And finally, converting the collaborative optimization scheduling model of the IES into a mixed integer linear model through a piecewise linearization method, establishing a collaborative optimization scheduling model in a differentiated operation mode, and solving the collaborative optimization scheduling model.

The invention discloses a virtual power plant source load interaction optimization scheduling model based on low-carbon response and a solving algorithm, and belongs to the technical field of power system optimization scheduling. A low-carbon scheduling framework containing a distributed power supply, energy storage, a flexible load and a carbon transaction mechanism is constructed, the carbon emission intensity of each link is quantified to form a carbon flow scheduling signal, and a dynamic carbon emission factor and energy cost are coupled. A multi-objective optimization model is established, a complex function is processed by piecewise linearization, and a hybrid algorithm of an improved genetic algorithm and a commercial solver is designed to improve the solving efficiency. The prediction error is dynamically corrected through a'prediction-optimization-feedback 'closed loop, and the strategy is adjusted. According to the scheme, low-carbon and economic collaborative optimization is realized, renewable energy consumption and system stability are enhanced, user satisfaction and real-time scheduling are considered, and a solution is provided for low-carbon intelligent operation of the power distribution network.

A piecewise linearization joint opportunity constraint optimization scheduling method for a power distribution network based on sample data, a computer readable storage medium and a program product, comprising: establishing a joint opportunity constraint scheduling model, considering node voltage uncertainty and power injection imbalance risk, and taking a preset voltage out-of-limit probability as a boundary condition to obtain a joint opportunity constraint scheduling model; the operation risk of the system is controllable; using sample data and a Gaussian mixture model to precisely fit distribution characteristics of uncertainty variables, and converting chance constraints into linear constraints; in addition, a posterior iterative algorithm is adopted to dynamically adjust a joint default probability threshold, and conservative property and economical efficiency of the model are balanced. According to the method, the problem of uncertainty caused by access of renewable energy to the power distribution network can be solved, a generation power distribution scheme with both safety and economy is generated, the risks of node voltage out-of-limit and line blockage are effectively reduced, and safe and economical operation of the power distribution network is achieved.

The invention discloses an offshore wind power plant regular layout optimization method considering submarine topography and turbulence intensity, and the method comprises the steps: carrying out the grid discretization of a target region, and defining a layout rotation angle; a mixed integer linear fractional programming model with the minimum leveling cost per kilowatt-hour as the target is constructed, a wake flow model based on an axisymmetric cosine function and a turbulence model based on an axisymmetric double-Gaussian function are comprehensively integrated, and piecewise linearization is conducted on a turbulence nonlinear term; the method comprises the following steps: pre-defining a layout mode and regular layout constraints, and matching with engineering constraints such as fan number, power and safety distance; and a bounded Dinkelbach algorithm is adopted to carry out iterative solution on the sub-problems decomposed according to angles, and a global optimal layout is obtained. According to the method, wake flow loss, turbulence fatigue and terrain-related cost can be effectively and synergistically optimized, and an economical and efficient layout scheme is provided for offshore wind plant planning.

The invention discloses a unit optimization method and system considering primary frequency modulation and stability control measures and a medium. Relates to the technical field of power systems. Based on safe operation of a low-inertia power system, a unit combination optimization model capable of ensuring system frequency safety is provided, an objective function with the lowest total power generation cost as an objective is established, and a dynamic response principle of primary frequency modulation and system frequency of the system is combined. And deducing and establishing safety constraint conditions of the frequency change rate, the maximum frequency deviation and the quasi-steady-state frequency deviation, performing linearization processing on the safety constraint of the maximum frequency deviation in combination with a piecewise linearization technology, and solving the established model by using a CPLEX solver in combination with the constraint conditions of safe operation of the power system, so as to obtain the maximum frequency deviation. And a unit combination optimization scheme capable of ensuring the stable frequency of the power system is obtained, and validity verification is carried out on related constraints.

The invention discloses a large signal stability analysis method for a complex micro-grid. The method comprises the following specific steps: establishing a nonlinear state space model of each component of the micro-grid, forming a system-level nonlinear model of the alternating current micro-grid by using the model of each component, performing piecewise linearization on the original nonlinear model by using a Takagi-Sugeno (TS) multiple modeling method, and constructing a linear matrix inequality group. Secondly, solving a linear matrix inequality group, constructing an energy function of the micro-grid, and mapping the energy function to a two-dimensional plane to obtain an analytic expression of an attraction domain; and finally, the influence mechanism of the system parameters on the stability of the large signal is obtained by adjusting the system parameters and solving the attraction domain under each working condition. The method can be used for analyzing the stability of the actual complex micro-grid, and theoretical guidance is provided for planning and parameter design of the micro-grid.

The present invention discloses a rSOC operation model and a modeling method and system taking into account electric-hydrogen-thermal coupling, belonging to the technical field of energy conversion and storage; a modeling method of a rSOC operation model taking into account electric-hydrogen-thermal coupling includes: establishing a rSOC electrolysis model taking into account electric-hydrogen-thermal coupling; establishing a rSOC power generation model taking into account electric-hydrogen-thermal coupling; based on the rSOC electrolysis model taking into account electric-hydrogen-thermal coupling and the rSOC power generation model taking into account electric-hydrogen-thermal coupling, considering the start-stop and climbing characteristics of rSOC, establishing the rSOC operation model; linearizing the rSOC operation model by a piecewise linearization method and a large M method. The relationship between electric-hydrogen-thermal multi-energy coupling during the operation of rSOC is effectively characterized, the real operation of rSOC is simulated, and the difficulty of solving the rSOC operation model is reduced.

A lateral–vertical dynamics coordinated control method for a distributed drive electric vehicle, and a related device. The lateral–vertical dynamics coordinated control method for a distributed drive electric vehicle comprises the following steps: creating a fourteen-degree-of-freedom full vehicle model which considers unbalanced magnetic force in an in-wheel motor, so as to accurately represent a state response of a vehicle under different inputs; a three-dimensional piecewise affine tire model performing piecewise linearization of a lateral force of a tire under different side slip angles and vertical loads, so that nonlinear features of the tire can be described under extreme operating conditions; creating an active front-wheel steering controller on the basis of hybrid model predictive control, obtaining a reference center of mass side slip angle and a yaw rate by means of a bicycle model, and then calculating an additional steering angle of the vehicle, thereby ensuring vehicle stability; and designing a multi-constraint input and multi-constraint output active suspension controller based on dual-model predictive control by using roll stability and ride comfort, that is, a tire dynamic load, a vehicle body acceleration, and an in-wheel motor stator-rotor eccentricity, as suspension design control targets.

The invention belongs to the technical field of power grid low-carbon optimization scheduling, and particularly provides a wind power-containing system low-carbon economic scheduling method considering a liquid storage type carbon capture power plant, and the method comprises the steps: additionally installing a liquid storage tank based on a post-combustion carbon capture technology, and constructing a liquid storage type carbon capture power plant operation model; carrying out quantitative analysis on the net output of the carbon capture unit; the method comprises the following steps: introducing a pumped storage unit model and a wind turbine generator model, taking unit output conditions as decision variables, taking system comprehensive cost optimization as a target, considering unit operation constraints and system safety constraints, and constructing a low-carbon scheduling model of wind power-carbon capture combined operation considering carbon transaction; a relaxation technology and a piecewise linearization method are adopted to carry out piecewise linearization on the expected value of electricity shortage and the expected value of wind curtailment. According to the method, a liquid storage type carbon capture power plant participates in system peak regulation to solve the problem of wind power absorption in a wind power access scene, and the stability and economical efficiency of system operation are improved;

The invention discloses an intelligent self-adaptive control method for a diesel generating set, which aims at the problems of slow load fluctuation response, poor system stability and the like of the traditional diesel generating set, and comprises the following steps: triggering a quick response mechanism by monitoring a load power change rate in real time, and dividing a load into low, medium and high load areas by adopting a piecewise linearization power distribution strategy; matching an optimal power combination in a power distribution table generated offline by combining an energy storage SOC state; the winding current is decoupled and controlled through rotor flux linkage directional coordinate transformation, the electromagnetic torque is rapidly adjusted through a PI controller, and cooperative power output is achieved in cooperation with space vector pulse width modulation. The preset rule limits that the energy storage power does not exceed 80% rated value and the SOC is maintained at 20%-80%, and the power distribution table is stored in the digital signal processor for real-time execution. According to the method, the response time can be shortened, the controller load is reduced, and the system stability and the fuel economy under complex working conditions are improved.

The invention discloses an analytical calculation method suitable for the magnetic saturation current of a high-voltage shunt reactor under a resonance working condition. The method comprises the following steps: establishing an electromagnetic coupling equivalent circuit model under the resonance working condition of the shunt reactor considering the magnetic saturation characteristic of an iron core; dividing the magnetization characteristic of the iron core into an unsaturated section and a saturated section through piecewise linearization processing of the magnetization curves, and setting the slopes of the two sections of magnetization curves and the magnetic field intensity at the knee point of a demarcation point; according to the working state of the reactor, constructing an electromagnetic coupling equation set containing a first-order conducting term coefficient in an unsaturated state, and deducing a time domain analytical expression of winding current; constructing an electromagnetic coupling equation set considering a zero-sequence coupling effect in a saturated state, simplifying resistance parameters, and then deducing a current solution expression in an equivalent inductance matrix form; the current value of the three-phase winding of the shunt reactor is monitored in real time, when the current amplitude of the winding reaches a knee point value, state switching is triggered, the final value of the previous state is used for updating the initial condition of the next state, and the current waveform is solved.

The present invention belongs to the technical field of power systems, and discloses a method and device for creating a collaborative optimization model of a low-carbon hydrogen production system. The method includes: dividing various types of generator sets and hydrogen production devices in the target low-carbon hydrogen production system into block groups to obtain a plurality of block groups; constructing continuous variables representing the aggregated behavior of the generator sets in the block groups, and establishing a generator set model based on the continuous variables; wherein the continuous variables represent the online capacity and start-stop capacity of the block groups; obtaining a piecewise linear function by performing piecewise linearization processing on the electrolytic hydrogen production efficiency function, and establishing an electrolytic hydrogen production device model based on the piecewise linear function; establishing a collaborative optimization model of the low-carbon hydrogen production system based on the generator set model, the electrolytic hydrogen production device model, cost constraints and additional constraints. It solves the problems of difficult creation of collaborative optimization models and poor model accuracy in the prior art.

The invention discloses a micro-grid energy storage frequency stabilization method based on battery energy storage planning, and the method comprises the steps: firstly, considering the effects of a synchronous generator, battery energy storage and emergency load shedding in frequency stabilization control, building a system frequency response model, and calculating the load shedding amount and the required frequency adjustment capability; on the basis, the uncertainty of interference is considered, and a multi-target opportunity constraint mixed integer nonlinear programming (MINLP) model taking the minimum investment cost and the maximum operation profit as targets is established. The chance constraint programming model is re-expressed as a processable deterministic form by using a linear weighting method, a piecewise linearization method based on a maximum affine function and Bernstein approximation, and multi-incision Benders decomposition iteration solution is adopted. According to the invention, uncertain interference can be effectively handled, and the load shedding amount is reduced.

This invention relates to an optimization method for an electric-gas coupled system based on adaptive piecewise linearization. This invention considers the coordinated operation of the power system and the natural gas system, and can improve the overall efficiency of the energy system through multi-energy complementarity, promote the absorption of new energy sources, and simultaneously improve the safe and reliable supply of electricity and natural gas. In the calculation process, the number of segments in the linearized pipeline airflow equation obtained through piecewise linearization is adaptively determined. Specifically, the number of segments and segmentation points are dynamically divided using an iterative method, gradually increasing the number of segments and segmentation points. This approach, while ensuring computational accuracy, introduces the minimum number of segmentation intervals and determines the optimal segmentation point location. This transforms the optimal energy flow calculation of the electric-gas coupled system into a mixed-integer linear programming model, achieving an effective trade-off between solution accuracy and computational efficiency. Ultimately, it provides a feasible and efficient technical means for the optimal energy flow analysis of electric-gas coupled systems.

The application discloses a wheel-leg balance robot design capable of active jumping and a control method thereof. The wheel-leg balance robot design is based on a planar parallel five-bar mechanism, and comprehensively considers the leg structure design and wheel train structure design of the wheel-leg balance robot suitable for active jumping. A plurality of sensor modules are adopted for sensing, so that the robot can autonomously perform the jumping function on a complex obstacle road section. Meanwhile, the wheel diameter and the motor torque are matched and designed, so that the robot has strong passability. The joint motor connection structure is improved to improve the design strength of the leg structure. An inverted pendulum model containing a wheel-leg hybrid structure is used to fit the robot movement, an LQR control algorithm is adopted to process the nonlinear system through piecewise linearization, and reference input is added to realize trajectory tracking.

The application discloses a gravity energy storage charging and discharging method using piecewise linearization approximation, and establishes a double-tower type gravity energy storage system according to the structure of an actual gravity energy storage system; the double-tower type gravity energy storage system comprises a hollow cylindrical tower and a central tower located at the center of the hollow cylindrical tower; according to the increased gravity potential energy when bricks are moved from the hollow cylindrical tower to the central tower, the height difference of the tower after charging, the height difference of the tower before charging, the height of the central tower after charging, the volume of the bricks lifted by the energy storage system, the charging power of the current period, the volume of the bricks dropped by the energy storage system and the discharging power and volume of the current period, a nonlinear double-tower model of the gravity energy storage output is established, and is then converted into a mixed integer linear programming model; the nonlinear double-tower model of the gravity energy storage output is solved, the gravity energy storage charging and discharging control is controlled according to the solving result, and can participate in dispatching, and can be configured on the power generation side and the power grid side in a large scale, and has a relatively low unit cost.

The invention discloses a power transmission network extension planning method and device considering optimal consumption of new energy, and the method comprises the following steps: determining a net load disturbance acceptable domain, and calculating the reliability cost; establishing a power transmission network expansion planning model, and determining an objective function and constraint conditions of the model; processing the power transmission network expansion planning model, and solving the model; wherein the objective function of the model is line investment cost, standby cost, reliability cost and unit operation cost minimization, the quadratic term of the line cost part can be piecewise linearized, and a dual method is adopted to convert a constraint condition uncertainty model into a deterministic model for solving; according to the method, the whole model is converted into a deterministic model, so that the calculation efficiency of the model and the robustness of a planning result are greatly improved.

The present application relates to the technical field of bus charging, in particular to a bus fast charging station orderly charging method based on a data-driven energy efficiency model; first, the power demand meeting the operation of a bus line is determined, and then a relationship between charging energy conversion efficiency and the actual charging power of a vehicle-mounted energy storage system is established; taking the minimum actual power consumption of the charging station in a day or the minimum actual electricity cost of the charging station in a day as an objective function, wherein the charging energy conversion efficiency is considered, a nonlinear optimization objective function model is established with the power demand of the electric bus line operation, the continuity of the electric bus charging time as constraint conditions, then the nonlinear optimization objective function model is converted into a mixed integer convex programming problem using piecewise linearization, and the optimal charging plan is obtained by solving the mixed integer convex programming problem; the present scheme can further improve the energy conversion efficiency of charging on the basis of traditional orderly charging, reduce the power consumption cost of the charging station operator and the charging cost of the electric bus, and improve the economy.

A voltage sag management optimization configuration method considering differentiated economic losses of sensitive users, comprising: constructing a parameterized voltage tolerance boundary function; establishing an economic loss model of sensitive users under a single fault event, which continuously changes from a lossless area, a quality loss area to a complete interruption area; constructing a residual voltage recovery model after management under the synergistic action of a static synchronous compensator (STATCOM) and a dynamic voltage restorer (DVR); constructing a collaborative optimization configuration model of management equipment, taking the sum of the investment cost of management equipment, the annual operation and maintenance cost and the annual comprehensive economic loss after management as the target; performing piecewise linearization processing on the voltage sag economic loss function and the equipment cost function, converting the collaborative optimization configuration model of management equipment into a mixed integer linear programming model, and then obtaining the optimal installation node and configuration capacity of the management equipment. The method can better match the protection needs of different sensitive users and effectively reduce the comprehensive economic loss caused by voltage sag in the distribution network.