238 results about "Power planning" patented technology

The invention discloses a microgrid power source planning method based on game and Nash equilibrium. Cooperative game optimal configuration models are established with identities of different participants respectively, generated output characteristics of micro sources of different kinds in a microgrid and various constraint conditions are taken into full consideration, a game is carried out between revenue functions formed by microgrid electricity sell revenue, investment cost of the microgrid, system losses cost, environment cost and interactive power cost and revenue functions formed by loss reduction revenue of large power grid loss, electricity sell revenue to the microgrid, discharged exhaust gas cost due to electricity sell to the microgrid and hot standby cost saved by a large power grid, solving is carried out by adopting a game iterative algorithm, and the power source planning problem of the game models is solved. Simulated analytical investigation is carried out by adopting a typical microgrid structure, simulation results show that cooperative the game between the microgrid and the large power grid can achieve better revenue, and therefore sound development of the microgrid can be promoted by combining power of all interested parties.

The invention discloses a method for optimizing the operation of a regional integrated energy system considering a load aggregator, First, the day-ahead forecasting data of electric load and day-aheadforecasting data of cold and heat load of the regional integrated energy system are obtained, Load aggregators obtain their respective regional integrated energy system heating and cooling loads taking into account the demand side response according to the specified different demand side response plans, In order to minimize the total operating cost of the regional integrated energy system, network constraint, energy production and conversion equipment constraints, As that constraint of the energy storage equipment and the cold-thermoelectric power balance of the regional integrated energy system are the constraint condition, an optimization model is established to obtain the operation power planning of each energy supply equipment and energy storage equipment, and the operation planning cost under each demand side response plan is compared to determine the optimal load aggregator demand side response plan and the optimal operation planning of each energy supply equipment and energy storage equipment. The method of the invention can effectively improve the economy of the operation of the regional integrated energy system.

The invention discloses a new-energy large-scale grid connection based electric power analysis system and a method thereof. The electric power analysis system comprises an input module, a power planning module, a local and spanned peak shaving capacity distribution module, a frequency modulation checking module, a judgment processing module and an output module. A new energy power generation plan is introduced into an electric power plan of a conventional power source, the new-energy large-scale grid connection based electric power planning analysis system is formed, peak shaving resisting property, randomness and intermittency of new energy are taken into consideration fully, the target includes minimizing the total social cost, a power structure including the new energy and spanned power current can be obtained, and the difficulty in grid connection and absorption after large-scale development of new energy is avoided effectively.

The invention relates to a power distribution network intelligent planning system based on automatic optimization, and belongs to the technical field of power distribution and utilization engineering electricity network planning design. The power distribution network intelligent planning system comprises an original data collecting module, a load prediction module, a transformer substation planning module, a network frame planning module, a reactive power planning module, an alternative planning scheme module, a technical economy evaluation module and a decision making module. The input of the system is bottom layer data and planning parameters, the output of the system is the optimum planning scheme, the information input and output of each module and the combination among all modules, finally, the intelligent planning function of a power distribution network is realized, and the artificialization degree in the power distribution network planning process can be reduced to the minimum.

The invention discloses a reactive power optimization method of a power distribution network. The method comprises the steps of 1), building a mathematical model of a fan; 2), initializing the node voltage; 3), building a reactive power planning mathematical model and converting into a multi-objective optimization problem; 4), inputting original data; 5), forming an initial particle swarm and initializing the speeds and the positions of particles; 6), performing load flow calculation and obtaining adaptive values and a current optimum value of the particles; 7), correcting the speeds and the positions of the particles by using an ecological niche weight flight time method; 8), calculating the adaptability of the whole population, obtaining the adaptability value and updating the current optimum solution pBestid; 9), adjusting a control variable of a border crossing point of an individual particle and modifying a border crossing state variable; and 10), determining whether a requirement of an end condition is met, if the requirement of the end condition is met, outputting the result, otherwise, returning to the 6).

The invention relates to the technical field of power supply planning, and discloses a power supply planning method suitable for large-scale access of new energy. The power supply planning method comprises the following steps of step 1, performing prediction according to load requirements, formulating a conventional power supply planning scheme, and formulating an initial new energy installed scheme on the basis of the conventional power supply planning scheme; step 2, calculating new energy confidence capacity on the basis of the initial new energy installed scheme, and adopting a new energy power supply to replace the conventional power supply according to the confidence capacity to obtain a new energy power supply planning scheme; and step 3, performing new energy consumption capability analysis on the new energy power supply planning scheme; if the new energy consumption capability does not satisfy a new energy rate index, returning to the step 1, and reducing the new energy power supply planning scale; and if the new energy consumption capability satisfies the new energy rate index, completing the power supply planning method suitable for the large-scale access of new energy. By adoption of the power supply planning method, the large-scale development and grid connection of wind energy and solar energy are realized, so that the problems of wind energy and solar energy abandonment are relieved from the power supply planning aspect.

The invention relates to the field of energy power planning and discloses an energy power planning method suitable for development of high-proportion renewable energy. The method comprises the following steps of obtaining related data of current situation and development of a power supply, related data of current situation and development of a power grid, related data of generation energy resourceendowment and related data of an energy power development policy, obtaining maximum load data in a planning period, and obtaining a wind speed, illumination intensity and annual hourly load data in the planning period; building a wind-light load joint scene set through clustering; building a multi-regional and multi-scene energy power development planning model; solving the planning model; and determining power supply construction, a power flow scheme and run statistics. According to the energy power planning method, on the basis of a multi-regional and multi-scene research idea, the multi-regional interconnection development planning research requirements can be met; moderate coupling of energy power planning and operation can also be met through a multi-scene mode; the development planning research practicality of high-proportion renewable energy power is improved; and scientific decision-making of the energy power development department is facilitated.

The invention belongs to the technical field of complementary optimal dispatching of multi-energy power systems, and relates to a method for generating wind and photovoltaic typical weekly output scenes for medium- and long-term optimal dispatching. In order to solve the problem on multi-energy inter-seasonal complementary medium- and long-term optimal dispatching in a power system with wind powerand photovoltaic power, a polymerization method based on improved dual-scale AP clustering and the Markov chain is used to generate weekly scenes for time series simulation calculation. The output time series of a wind / photovoltaic uncertain power source are compressed to obtain compressed new output time series which can accurately reflect the probabilistic characteristics of the original outputtime series. Therefore, the problem that the solution cannot be obtained quickly due to multiple time sections in medium- and long-term optimal calculation is solved, and a guide is provided for themedium- and long-term power planning in system optimal dispatching.

The invention provides a power grid power sale quantity prediction method based on season time sequence analysis. Firstly, the historical monthly power sale quantity is decomposed into trend cyclic variables, season variables and random variables of the monthly power sale quantity through an X12 season adjusting method, the trend cyclic variables with the obvious rule are predicted through a time sequence method, the defects generated when only the time sequence method is used for predicting the monthly power sale quantity can be overcome to a large degree, the prediction accuracy of the monthly power sale quantity is remarkably improved, the monthly power sale quantity within the prediction period can be well predicted, and the method is used for guiding and planning the power yield of a power system in all months within the prediction period so as to solve the problems that in the prior art, due to the fact that the prediction accuracy of the future monthly power sale quantity is not high, power yield planning is inaccurate, power supply is seriously insufficient, or supply is excess, and energy is wasted. Multiple prediction calculating processes can be achieved simply through Eviews software in the prior art, high practicality is achieved, and application and popularization are convenient.

The invention relates to a technical collaboration and dynamic intelligent management system for power planning. The system is composed of the following nine system modules: a data management module, a power grid current situation analysis module, a power market analysis module, a power market predication module, a project management module, a power grid planning supervision module, a power supply planning and management module, a power grid planning and management module and a system management module. According to the system of the invention, new demands of the planning work can be met, adaptability of economic and social development is facilitated, a complete predication solution scheme is provided, and the management level is enhanced.

The invention discloses a distributed power supply-containing distribution network reactive power planning method based on a hybrid intelligent algorithm. Firstly, a random power output model of the distributed power supply is established, a random variable is introduced to represent a wind speed, a distributed power supply-containing reactive power optimization planning problem is used as an uncertain planning problem for research, and a distributed power supply-containing distribution network reactive power planning model based on chance-constrained programming is established; and then, by using the good regression generalization performance of a support vector machine, the global optimization feature of an artificial fish swarm algorithm and the local optimization ability of a particleswarm algorithm, the support vector machine, the particle swarm algorithm and the artificial fish swarm algorithm are organically combined, a hybrid intelligent algorithm is constructed, a stochasticsimulation technique is used, and the distributed power supply-containing distribution network reactive power planning model based on chance-constrained programming is effectively and quickly solved.The support vector machine, the particle swarm algorithm and the artificial fish swarm algorithm are effectively combined, the system power flow calculation times are reduced on the premise of meetingthe decision making precision, and the solution speed is improved.

The invention discloses a dynamic networking method of a orthogonal frequency division multiple access system, for performing the optimizing configuration on the system resource and advancing the frequency spectrum efficiency of the network, comprising: dividing the district into a plurality of areas by a network controller or a station, distributing the routine sub-carrier for each area in the time of frequency program and reserving the sub-carrier, and performing the dynamic distribution on the reserved sub-carrier between each area according to the change of the operation requirement in the system operating process; determining the ratio of the compensating power and the water injecting power in the time of power planning by the network controller or the station, and distributing the compensating power and the water injecting power for each area, and in the system operating process, the dynamic adjustment is processed according to the disturbing condition of the adjacent area or the change of the operation distribution of the district on the transmitting power of each district.

The invention provides a wind power consumptive capacity calculation method and system. The method comprises the steps of acquiring power grid electrical load data, power grid conventional unit data, power grid and external power grid electric power exchange data, and power grid wind power output characteristic data of a power system in a preset time; calculating the boot capacity and reserve capacity of the power system through the acquired data; determining a boot mode of a unit by combining the maintenance of the unit based on the calculated boot capacity; calculating a peak modulation margin of the power system based on the boot mode; and calculating the power grid wind power consumptive capacity according to the peak modulation margin of the power system, without considering situations of wind curtailment and electricity limitation, and outputting the power grid wind power consumptive capacity without wind curtailment. The wind power consumptive capacity calculation method and system can calculate the consumptive capacity for different research needs, thereby providing support for research on wind power planning and consumptive wind power scheduling modes.

The invention discloses a power grid planning risk evaluation system and method based on a grey correlation degree TOPSIS (Technique for Order Preference by Similarity to an Ideal Solution). The power grid program risk evaluation system comprises a power grid planning data acquisition module, a power grid planning scheme input module and a controller, wherein the power grid planning data acquisition module and the power grid planning scheme input module are independently connected with the controller; and the controller comprises a power grid risk evaluation index matrix generation module, a power grid risk evaluation index matrix solving module, a grey correlation degree matrix construction module and a power grid planning scheme risk sorting module. The invention has the beneficial effects that the power grid planning risk evaluation system introduces the controller which can process power grid planning data and sort power planning schemes to carry out optimal sorting on power grid enterprise risk indexes, a power grid planning scheme can be evaluated on the whole, potential risks in a power grid planning process can be effectively prevented and solved, power grid planning operation cost is saved, and power grid reliability is improved.

The invention discloses a clean energy power planning method based on Wasserstein distance and distribution robust optimization, and relates to the technical field of power system planning. The methodcomprises the following steps: S1, constructing a wind-photovoltaic power output uncertainty set based on Wasserstein distance; S2: establishing a power planning model under distributed robust optimization; S3, solving by bringing the wind-photovoltaic power output uncertainty set into the power planning model under distributed robust optimization to obtain a clean energy power planning scheme. Compared with a traditional method, the method of the invention has lower conservatism of the uncertainty set, has strong ability to adapt to complex and changeable operating environments, and can be adopted for effective solution.

The invention discloses a distributed generation planning method in a distribution network based on a scene analysis method, which obtains the structure, line parameters and load distribution of a distribution network in a target area and establishes a distribution network structure model. Collecting distributed photovoltaic output and decentralized wind power output and load data of target area,and establish scene set; Introducing cross-correlation entropy evaluation function to improve attractor clustering algorithm for scene reduction; The objective model is established and solved by usingthe cultural genetic algorithm. Finally, acquiring the optimal planning scheme of distributed generation in distribution network. The invention can effectively simulate the processing of the distributed power source and the load fluctuation in the actual situation, and the planning result is more reliable. The principle of scene analysis is simple and easy to implement.

The invention relates to a reactive power planning method of wind power grid-connected system considering static transient voltage stability, load probability density and wind speed Weibull distribution is divided into different scenarios, a reactive power programming model of the wind power grid-connected system is established by using a two-layer programming method and solved by Gaussian inverselearning particle swarm optimization algorithm. The static reactive power compensation equipment capacity of the optimal static reactive power compensation node and the dynamic reactive power compensation equipment capacity of the dynamic reactive power compensation node of wind power grid-connected system are outputted. Compared with the prior art, the invention has the advantages of reducing the cost of network loss and reactive power compensation, and improving the static transient voltage stability of the system under different operation states.

The invention relates to a distributed power supply planning method based on a time sequence characteristic and environmental benefit. The technical problem that an existing distributed power supply planning technology is high in cost and low in efficiency and resource utilization rate. The distributed power supply planning method based on the time sequence characteristic and environmental benefit comprises the steps of obtaining daily load data of a power distribution network and classifying daily load sequences, classifying the annual daily load sequences of each load point of the power distribution network into type A and recording the day number included by each category, determining typical daily load sequences, determining unit capacity distributed power supply typical daily output sequences, determining the distributed power supply typical daily output sequences, determining a target function to obtain an optimal scheme. The distributed power supply planning method based on the time sequence characteristic and environmental benefit can be widely applied to optimized configuration of distributed power supply resources.

The invention discloses a microgrid-containing distribution network distributed power supply planning method which comprises the steps of (1) determining that a constraint that microgrid-containing distribution network distributed power supply planning should meet is a microgrid operating domain constraint, (2) determining factors that should be considered in the distributed power supply planningof a microgrid-containing distribution network are economy, environmental protection and reliability, and taking the reliability and environmental protection into economic indicators to carry out weighted summation as a planning target, and (3) solving the model by using a particle swarm algorithm to obtain an optimal planning scheme. According to the distributed power supply planning model with optimal economy, environmental protection and reliability as targets, the influence of grid connection of the distributed power supply on the operating boundary of a microgrid can be effectively reduced, the flexibility and controllability of the micro grid are ensured, the safety of a planning scheme is ensured, the method is suitable for the microgrid-containing distribution network distributed power supply planning, and actual simulation shows the effectiveness and rationality of the proposed method.

The invention provides an energy storage capacity and power planning method for auxiliary frequency modulation of a thermal power plant, and the method plans the construction of an auxiliary frequencymodulation energy storage system based on the historical operation big data of a unit; Therefore, the calculation speed of the system is accelerated, and the simulation calculation time is greatly shortened. The method comprises the following steps: step 1, based on a full life cycle theory managed by a thermal power plant, establishing a thermal power plant income model by considering the construction cost of an energy storage system in the full life cycle and the comprehensive income of assessment and compensation of the thermal power plant; step 2, setting an income calculation task of thethermal power plant according to a regional power grid operation rule; step 3, determining an approximate range where the optimal energy storage configuration is located by setting a larger simulation step length; step 4, creating a distributed cluster, and according to the characteristics of the distributed cluster, distributing a simulation calculation task, based on historical operation data of a thermal power plant AGC set, carrying out big data simulation on the PCS operation power and capacity with 0.1 MW and 0.1 MWh as small simulation step lengths, and finally summarizing a simulationresult and analyzing to obtain optimal energy storage configuration.

The invention discloses a distributed wind power source optimization method based on a modern interior point method and a sensitivity analysis method. The distributed wind power source optimization method comprises the specific following steps that 1, a mathematical model having lowest network loss and optimal voltage quality is established; 2, a sensitivity analysis method is adopted to analyze the influence of variable quantities of active power outputs and reactive power outputs of distribution network nodes on system network loss and busbar voltage stability margin; 3, the sensitivity analysis method is adopted to analyze the busbar voltage stability margin; 4, distributed wind power source planning is performed by adopting the modern interior point method; 5, PLSC and VSSI are normalized; 6, the sensitivity analysis method and the modern interior point method are applied to determine the configuration position and capacity of a distributed power source. The method can reasonably coordinate distributed wind power source planning strategies of network losses and voltage deviations brought by connection of the distributed wind power source to a distribution network.

The invention discloses an expansion planning method considering power grid structure optimization for a power transmission network. The expansion planning method comprises the steps of planning a load forecast value within time period according to a current power grid component parameter, planning a power planning scheme with the time period, and planning a candidate power grid component and a path scheme by a power grid; building an optimization model, wherein the optimization model takes sum of planning investment cost and power generation cost of the power transmission network within minimum planning period as a target and comprises a constraint condition; and converting the constraint condition in the optimization model to a hybrid integral linear planning model easy to solve, and solving the optimization model by employing a hybrid integral linear planning method to obtain a final expansion planning method considering power grid structure optimization for the power transmission network. The expansion planning method can be used for planning decision of the power transmission network, power grid planning and running coordination are facilitated, and the accuracy of the power grid planning scheme is promoted; and by the expansion planning method, optimal planning cost and running cost of the power grid can be achieved, the refined management of the power grid planning is favorably promoted, and the planning investment economy of the power grid is improved.

The invention provides a distributed hybrid power generation system power source planning method. The distributed hybrid power generation system power source planning method comprises the following steps that: pre-planning is performed so as to determine the number of wind turbine generator sets, photovoltaic arrays and small-sized hydropower stations and energy storage batteries which are considered to be installed, and a plurality of optional planning schemes can be generated according to a permutation and combination method; output power models of the wind turbines, the photovoltaic arrays, the small-sized hydropower stations and the energy storage batteries are respectively established; the system load power shortage rate and system energy excess rate of each optional plan are calculated, and whether each optional scheme accords with system reliability requirements is judged respectively, if the optional schemes accord with the system reliability requirements, subsequent steps are executed, otherwise, the optional schemes are discarded; and according to the system load power shortage rates and system energy excess rates of the plurality of optional schemes that accord with the system reliability requirements, corresponding cost discounted present values are calculated and arranged according to an ascending order, and optional schemes of which cost discounted present values are small are adopted as recommendable plans. The distributed hybrid power generation system power source planning method of the invention has the advantages of stability, reliability, comprehensiveness, authenticity and more benefits.

The invention provides a voltage imbalance probability evaluation method for a power distribution network containing distributed generation. The method comprises the steps of firstly analyzing correlated characteristics among various types of DG (Distributed Generation), building different Copula models to simulate output data of the DG, and finally performing evaluation on a voltage unbalance factor of the power distribution network based on a Latin hypercube sampling Monte Carlo simulation (LHS-MCS) method, thereby acquiring influences imposed on the power distribution network by different correlated characteristics of various types of DG. The voltage imbalance probability evaluation method can accurately describe different nonlinear features of the DG, thereby avoiding occurrence of a large calculation error; and the method can accurately evaluate influences imposed on voltage imbalance of the power distribution network by the DG, thereby having positive significance for distributed generation planning and power distributed network running.

The invention discloses a wind power system reactive power planning method based on the golden section cloud particle swarm optimization algorithm. The wind power system reactive power planning method comprises the steps that a reactive power planning mathematic model is built, and a target function is determined; original data of a wind power system is input, and therefore an initial population is formed; all particles are generated randomly, a golden section judging criterion is used for dividing a particle swarm into three parts according to the self-fitness value of the particle swarm, and different inertia weight is set for each part of particles; new positions and speeds of the particles are obtained through the particle swarm optimization algorithm, the particles are divided into three parts and iterated repeatedly according to the method before an the end condition is met, an optimal solution is searched, and therefore reactive power planning of the wind power system is achieved. According to the wind power system reactive power planning method based on the golden section cloud particle swarm optimization algorithm, the node voltage level of the wind power system is effectively improved, network loss of a power network is reduced, the diversity of the particles is kept according to the algorithm, the prematurity phenomenon which easily occurs during optimization searching is avoided, and convergence rate in the optimization searching process is improved. In addition, the wind power system reactive power planning method based on the golden section cloud particle swarm optimization algorithm is small in calculated amount, and higher in operability.

The invention discloses a power planning method for flight control of a small unmanned helicopter. In the power planning method, on the premise of keeping the stable flight state of the small unmanned helicopter unchanged, the total demand power is analyzed and optimized; through optimizing match between a rotor rotation speed and a manipulated variable, the total demand power is minimized, and the corresponding best engine rotation speed under the minimum demand power is obtained; an engine constant speed controller is designed to track the best rotation speed under the corresponding stable flight in real time, the engine thus constantly works at the best working point under the current stable state, the mobility of the helicopter is ensured, the flight duration time is increased, fuel oil consumption is reduced, and the target for power planning of the engine is achieved.

The invention relates to an energy-efficiency-included power plant power supply program method in consideration of environment factors. The method comprises steps that, 1), an energy-efficiency-included power plant power supply program target function in consideration of environment factors is established, the target function aims to minimize investment cost, and the program investment cost comprises energy efficiency power plant cost, routine power plant set power generation cost, CO2 emission cost and SO2 emission cost; 2), constrained conditions of energy-efficiency-included power plant power supply program in consideration of the environment factors area acquired; 3), an energy-efficiency-included power plant power supply program model in consideration of the environment factors is established according to the target function and the constrained conditions; and 4), an optimal solution of the energy-efficiency-included power plant power supply program model in consideration of the environment factors is acquired through an interior point method, the program investment cost is minimized, and an establishment type and capacity of an energy-efficiency power plant are determined. Compared with the prior art, the method has advantages of advanced algorithm and comprehensive consideration.

The invention discloses a wind power output typical scene generation method suitable for mid-and-long term power planning. The method comprises the steps that historical data are acquired, including the s-season typical daily load curve and the s-season daily wind power output curve; the daily peak period, the daily intermediate load period and the daily valley period are obtained according to the peak, valley and intermediate load characteristics of the s-season typical daily load curve, and then the characteristic index of the s-season daily wind power output curve can be obtained; and the power balance scene and the probability thereof, the peak load balance scene and the probability thereof and the power balance scene and the probability thereof of the random wind power output typical scene can be obtained according to the characteristic index of the s-season wind power output curve. The characteristics of mid-and-long term power planning and the power structure characteristics are comprehensively considered, and the uncertainty, the seasonal characteristics and the source-load interactive characteristics of wind power output are considered so that the method can be used for various occasions of mid-and-long term power planning and analysis of the related topics.

The invention discloses an active distribution network distributed power planning method in consideration of energy storage and reactive power compensation. The method comprises the following steps: under the constraints of conditions such as power balance, node voltage, node distributed power capacity and energy storage equipment output power, a multi-objective optimization planning model for integrating system voltage offset, line active power loss, average power supply reliability and greenhouse gas emissions is built; a fuzzy control method based on node voltage and a power loss sensitivity factor is adopted to initialize a distributed power connection position; an improved multi-objective particle swarm optimization algorithm is adopted for optimization solution; and in view of the acquired noninferior solution set, a fuzzy decision technology is adopted to get a final scheme which meets the preference of a decision-maker. Through analyzing the correctness and the feasibility of the active distribution network power optimization planning model, the optimal planning scheme is selected, safe and stable operation of the active distribution network is thus ensured, and the economic benefits and the environmental benefits are improved.

The invention discloses a power planning method based on the operating power consumption of a robot, a robot and a chip. The power planning method comprises: acquiring the demanded operating power premeasured by the robot, a current operating area and the operating time of the robot in the current working area, and obtaining the time of endurance maintained by the battery capacity of the robot; according to a numerical relationship between the operating time and the time of endurance, setting a preset battery consumption amount of the robot under an effective operating period and a ratio relationship between the demanded operating power and the preset battery consumption amount; determining, according to the ratio relationship, the number of recharging times of the robot in the current operating area, and further calculating the number of operating times of the robot in the current operating area, and allocating the actual power consumption amount for each effective operating period tothe robot based on the number of operating times. The method of the invention reduces the loss of the battery and prolongs the service life of a product by intelligently planning the robot battery.