70 results about "Distributed power generation" patented technology

The invention relates to the technical field of micro-grid control, and provides an island micro-grid distributed control method, system and device and a storage medium. Comprising the following steps: performing voltage compensation gain and frequency compensation gain calculation based on droop control output of each distributed power generation unit, droop control output of all neighbor distributed power generation units, and a voltage dynamic tracking error and a frequency dynamic tracking error which are obtained by calculating a microgrid global recovery target to obtain secondary adjustment output; and after corresponding items in the droop control output and the secondary regulation output are summed to generate comprehensive reference output, voltage synthesis is carried out according to the comprehensive reference output to obtain voltage regulation output for output control of a corresponding inverter. Based on a distributed regulation and control mechanism for cooperatively calculating the compensation amount of each power generation unit by using neighbor information and a global recovery target, the dynamic response speed and the power distribution precision can be improved, voltage drop and frequency deviation caused by load disturbance are effectively eliminated, and rapid recovery is realized.

This invention discloses a UPS power supply system and control method based on hydrogen fuel cell distributed power generation, relating to the field of power supply circuit technology. The system includes a safety and control module, a control execution module, a front-stage bidirectional DC-DC converter module, and a rear-stage bidirectional DC-DC converter. The safety and control module is used to determine whether the proton exchange membrane (PEM) shows signs of dehydration or flooding. The control execution module controls the air compressor to perform pulsed water blowing on the PEM. The front-stage bidirectional DC-DC converter module switches the front-stage converter to current closed-loop mode. The rear-stage bidirectional DC-DC converter switches the rear-stage converter to either a boost or buck topology. This invention, by determining whether the PEM shows signs of dehydration or flooding, maximizes the net output efficiency and ensures high-reliability continuous operation of the UPS power supply system under all dynamic operating conditions, solving the problem of significantly reduced operating efficiency in existing UPS power supply systems.

The invention discloses a fault component compensation type low-voltage ride-through control method and system of a distributed power generation system and a storage medium, and the method comprises the steps: introducing a difference value between a d-axis voltage instantaneous component of a common coupling point and a system rated voltage into a quadrature-axis voltage compensation branch during the voltage drop period of a power grid, and obtaining a quadrature-axis voltage compensation amount through compensation coefficient calculation, the calculation result is added to the phase-locked loop control link, the q-axis voltage of the common coupling point tracked by the phase-locked loop is adjusted in real time, and the problem that the phase angle of the distributed power generation system is prone to loss stability during the transient state is effectively solved without any additional control information. And the low-voltage ride-through capability of the distributed power generation system under the extreme working condition is obviously enhanced.

The application discloses a SOFC integrated power generation system containing a diesel pretreatment unit, and belongs to the technical field of solid oxide fuel cells. The SOFC integrated power generation system at least comprises a diesel pretreatment unit, a SOFC power generation unit and an intelligent control system. The pretreatment unit converts diesel into high-purity hydrogen-rich gas through desulfurization, denitrification and autothermal reforming processes. The SOFC power generation unit adopts a metal support type stack and realizes efficient power generation in combination with heat management. The intelligent control system can realize real-time monitoring and dynamic adjustment to ensure stable operation of the system. The power generation efficiency of the SOFC integrated power generation system can reach 55% to 58%, the fuel utilization rate reaches more than 90%, and the emission is low. The SOFC integrated power generation system is suitable for distributed power generation, mobile power sources, emergency power sources and automobile fuel cells and the like application scenarios, and has the characteristics of high efficiency, environmental protection and stability.

The present invention provides a distributed power generation system, a control method for the distributed power generation system, and an output control device that can more appropriately reduce the amount of electricity purchased from the power grid and more effectively utilize the generated electricity. [Solution] A distributed power system is provided, comprising: a distributed power source; a power converter that converts the power supplied from the distributed power source into AC power corresponding to the load and supplies the converted AC power to the load; an output control device that controls the operation of power conversion by the power converter; and a power generation forecasting device that stores a power generation forecasting model that enables the prediction of the amount of power generated by the distributed power source based on weather forecasts at the locations where the distributed power source is installed, predicts the amount of power generated by the distributed power source after a predetermined time based on the weather forecasting data and the power generation forecasting model, and outputs power generation forecasting information including the predicted value of the amount of power generated, thereby enabling the planning of the demand power required by the load in advance.

The invention discloses an island detection method and system based on a Goertzel algorithm and quality factor entropy dispersion. The method comprises the following steps: acquiring three-phase voltage and current signals of a distributed power generation system; performing double-domain leakage suppression processing on the signal to obtain an accurate fundamental wave parameter; carrying out heavy fundamental wave construction and harmonic signal separation on the accurate fundamental wave parameter to obtain a residual harmonic signal; a Goertzel algorithm is adopted to carry out directional spectrum analysis on specific harmonics in the residual harmonic signals, and the voltage amplitude and the current amplitude of the specific harmonics are obtained; calculating a harmonic impedance amplitude according to the voltage amplitude and the current amplitude of the specific harmonic, and obtaining a quality factor entropy dispersion corresponding to the specific harmonic based on the harmonic impedance amplitude; and carrying out island detection according to the quality factor entropy dispersion corresponding to the specific harmonic wave to obtain a detection result. The load quality factor distribution consistency is quantified by using the information entropy theory, the detection blind area can be reduced, and the detection efficiency and accuracy are improved.

The invention aims to provide a multi-objective optimization method for an integrated energy power generation device, and belongs to the field of distributed power generation. Setting a working current, an air excess ratio of the solid oxide fuel cell and a fuel utilization rate to obtain an initial constraint condition; the variables meeting the independent variable constraint conditions take the system efficiency and the return cycle of the comprehensive energy power generation device as optimization target values, and take the inlet and outlet temperature difference of the proton exchange membrane electrolytic cell, the air inlet flow of the solid oxide fuel cell and the inlet flow and temperature of the thermoelectric generator as constraint values. And performing non-dominated sorting on the variables in the initial population, and calculating the congestion degree. And obtaining a crossover and mutation solution through variation crossover according to the crowding degree of the individual. And obtaining a new population according to an elitism strategy. And outputting the Pareto optimal solution set until the number of iterations is reached. According to the method, multi-target optimization of the comprehensive energy power generation device can be realized, and the output Pareto optimal solution can provide theoretical and method support for actual operation of the comprehensive energy power generation device.

A medium voltage inrush current (MVIC) regulator and interconnection control system for interposing between a distributed power generation facility and a utility grid. The facility has a designated generator step-up (GSU) transformer and is connected to the utility grid at a point of interconnect. The system includes a pre-insertion impedance injection transformer, a low voltage first switch connected between the pre-insertion transformer and secondary coils of the designated GSU transformer, a medium voltage second switch connected inline between the pre-insertion transformer and primary coils of the designated GSU transformer, and a controller. In response to restoration of the utility grid following a loss-of-grid event, the controller opens and closes the first and second switches according to an automated pre-energization switching sequence such that magnetic flux in the designated GSU transformer occurs at a reduced rate, thereby reducing inrush of current and undesirable power quality phenomena.

The utility model relates to a power distribution box and a distributed power generation system. The power distribution box can comprise an on-grid and off-grid switching device and a load power distribution device. Wherein one end of the grid-connected and off-grid switching device can be connected with an external power grid, the other end of the grid-connected and off-grid switching device can be connected with the load power distribution device, and the load power distribution device can also be connected with an external combiner box and / or an external load. Wherein the grid-connected and off-grid switching device can control the on-off state between the power grid and the load power distribution device, so that the distributed power generation system can be switched between a grid-connected mode and an off-grid mode. According to the embodiment of the invention, the power distribution connection structure in the distributed power generation system can be simplified on the basis of realizing the grid-connected and off-grid functions of the distributed power generation system, the installation space can be saved, the installation and maintenance cost of the system can be saved, and the practicability and economical efficiency of the distributed power generation system can be improved.

The invention discloses a solar energy and hot air flow synergistically driven vertical axis wind turbine and a driving method thereof, and relates to the technical field of new energy power generation, and the solar energy and hot air flow synergistically driven vertical axis wind turbine comprises a solar energy heating airflow system, a vertical axis wind turbine with an airflow channel power arm, a non-interference transmission assembly and a transmission assembly. The solar heating airflow system forms ascending airflow through cooperative heating of a heat collecting pipe and a light gathering plate, and pressurization and acceleration are conducted through the chimney effect. The interference-free transmission assembly realizes low-loss conveying of hot air flow; the vertical axis wind turbine forms three-power coupling through a power arm airflow channel, a small wind wheel-flow guide impeller combination and blade wind catching, and starting at the ultralow wind speed of 0.25 m / s or below is achieved. The transmission assembly converts kinetic energy into electric energy. Through structure optimization and method innovation, the problems that a traditional fan is high in starting wind speed, single in driving and insufficient in hot air flow utilization are solved, and the system has the advantages of stable power generation in all time periods, convenient maintenance and multi-scene adaptation and can be widely applied to low-wind-speed distributed power generation scenes.

This application proposes a method and system for power quality waveform pattern recognition in distributed generation systems, relating to the field of power quality monitoring and analysis technology for distributed generation systems. The method includes acquiring current waveform data of voltage and current in the power grid, as well as the grid's operating status; establishing and updating a background waveform feature benchmark based on the grid's operating status and the current waveform data; detecting deviations in the current waveform data based on the background waveform feature benchmark to identify one or more potential events of concern; responding to a potential event of concern by backtracking high-resolution waveform data from the time period in which the event occurred; extracting micro-features from the high-resolution waveform data; and attributing the micro-features to the operating status to obtain a judgment result, which includes distinguishing between benign transients, changes caused by component aging, or early signs of faults. This application can improve the accuracy and reliability of identification.

The invention discloses a micro-grid scheduling optimization method and system based on a multi-objective parrot-shaped Arctic pole optimization algorithm, and the method comprises the steps: building a multi-objective optimization scheduling model of a micro-grid, and the multi-objective optimization scheduling model at least comprises an operation maintenance cost objective function and an environment protection cost objective function; a multi-strategy fused multi-target parrot-shaped north pole optimization algorithm is adopted to solve the multi-target optimization scheduling model, and a Pareto optimal solution set is obtained; and determining an optimal output strategy of each distributed power generation unit in the microgrid according to the Pareto optimal solution set. The space exploration capability of the algorithm in the early stage and the optimization precision of the algorithm in the later stage are ensured, and the optimization effect of micro-grid dispatching is improved.

The application discloses a kind of single-phase inverter parallel virtual impedance control system and method, inductance current sampling value is generated single-phase inverter corresponding virtual impedance voltage signal by second-order generalized integrator (SOGI), dq coordinate transformer, virtual impedance, anti-Clark transformer;Virtual impedance voltage signal is introduced into droop controller, and the voltage and angular frequency reference instruction of inverter is obtained, and the reference instruction is tracked and controlled by voltage and current double closed-loop controller, finally realizes the stable operation and power sharing of single-phase inverter parallel system.The application can effectively construct virtual impedance in single-phase inverter parallel system, improve the power sharing accuracy and stability of parallel system, and be applicable to distributed power generation, microgrid and uninterruptible power supply and other multi-machine parallel occasions.

The application belongs to the technical field of converters, and discloses a common ground type double-tube super-high gain boost converter and a control method and application thereof. Under traditional interleaved control, the converter can realize super-high voltage gain far exceeding that of a traditional scheme under a medium duty ratio by using only two switching tubes, and the control is simple. The full common ground design makes driving simple, sampling convenient, and free from high-frequency common-mode interference; voltage stress of each power device is low in a wide duty ratio range, and reliability and efficiency are significantly improved. Compared with an existing transformerless interleaved parallel super-high gain scheme, the application has the advantages of strong boost capability, wide duty ratio low stress, full common ground, and the like, and has a simple structure and controllable cost, overcomes problems of an extreme duty ratio, high stress, or a complex topology of a traditional converter, and is particularly suitable for scenes sensitive to cost, reliability, and efficiency, such as balcony photovoltaic interface and other distributed power generation applications.

The application discloses a micro-grid scheduling optimization method and system based on a multi-target arctic sea parrot optimization algorithm, and the method comprises the following steps: establishing a multi-target optimization scheduling model of a micro-grid, wherein at least an operation and maintenance cost target function and an environmental protection cost target function are included in the multi-target optimization scheduling model; solving the multi-target optimization scheduling model by using a multi-strategy fusion multi-target arctic sea parrot optimization algorithm to obtain a Pareto optimal solution set; and determining an optimal output strategy of each distributed power generation unit in the micro-grid according to the Pareto optimal solution set. The algorithm has space exploration ability in the early stage and optimization precision in the later stage, and the optimization effect of micro-grid scheduling is improved.

The utility model discloses a triple co-generation distributed power plant reverse power protection system and a power grid system, the triple co-generation distributed power plant reverse power protection system comprises a triple co-generation distributed generator room and a power consumer power distribution room which are connected through a special line, and the power consumer power distribution room is connected with a power grid through a transformer. The power consumer distribution room comprises a current detection device, a signal acquisition device and a first photoelectric converter, and the first photoelectric converter is connected with the signal acquisition device and used for converting electric signals into optical signals. The triple co-generation distributed generator room comprises a second photoelectric converter, an execution protection device and a reverse power protection device, the second photoelectric converter is connected with the first photoelectric converter through an optical cable and used for converting optical signals into electric signals, and the reverse power protection device is connected with the second photoelectric converter and the execution protection device and used for converting the electric signals into electric signals. And when reverse power is detected, the execution protection device is controlled to be disconnected.

The application provides a support intelligent garden distributed power consumption energy storage configuration method, which comprises the following steps: obtaining the actual output of the distributed power generation, the actual value of the demand side load power, the assumed output of the distributed power generation at the current time and the ideal predicted value of the demand side load power; obtaining the distributed power output error at the current time based on the actual output of the distributed power generation and the assumed output of the distributed power generation; obtaining the demand side load power error at the current time based on the actual value of the demand side load power and the ideal predicted value of the demand side load power; when the distributed power output error is greater than a first set threshold, the distributed power output error at the current time is accommodated based on the energy storage distributed power consumption group; when the demand side load power error is greater than a second set threshold, the demand side load power error at the current time is accommodated based on the energy storage demand side resource group. The power balance can be accommodated in steps.

The invention belongs to the technical field of multi-element resource cooperative regulation and control, and discloses a balance unit multi-layer intelligent cooperative scheduling method, system and device and a medium, and the method comprises the steps: obtaining an aggregation adjustable range of a lower-layer power distribution network polymer; respectively establishing corresponding piecewise linear scheduling cost function models to obtain a scheduling cost function of a lower-layer power distribution network polymer; obtaining an optimal operation scheme of the upper-layer power distribution network and a tie line active power plan of a connection polymer; and issuing the optimal operation scheme and the tie line active power plan to an aggregate, and scheduling distributed power generation equipment in the aggregate based on a scheduling plan of an upper-layer power distribution network. According to the method, dimensionality reduction equivalence of the original multi-layer optimization problem can be realized, the upper-layer power distribution network carries out whole-network power balance scheduling according to the aggregation adjustable range of each aggregate system, and efficient coordination among all layers of power distribution networks is realized.

The application discloses a kind of multi-time scale micro-grid energy management method, using low-cost router-based networking scheme, simple and easy, without complex field bus can realize communication interaction, combine day-ahead and intra-day optimization, intra-day optimization according to the latest, higher accuracy prediction information is carried out to the day-ahead scheduling scheme Rolling correction, reduce the influence of the uncertainty factor of prediction information, improve the accuracy and reliability of micro-grid scheduling plan, reduce the operation cost of micro-grid.Introduction and main grid power interaction, reduce the fluctuation brought by new energy power generation, further improve the stability of micro-grid, while the real-time electricity price of main grid and the bidding of distributed power generation into grid electricity price make the cost of micro-grid further optimized, in order to avoid the single of optimization target, environmental management cost is included in objective function, realize the comprehensive consideration to environmental benefit and economic benefit.

The invention relates to the technical field of micro-grid scheduling, in particular to a bee foraging algorithm micro-grid optimal scheduling method considering energy storage constraint, which constructs a micro-grid scheduling model with the goal of minimum comprehensive operation cost, and covers distributed power generation cost, energy storage loss, power grid interaction and power shortage penalty. Energy storage charging and discharging power, capacity and SOC dynamic constraints are strictly embedded, an energy storage constraint adaptation factor alpha is introduced, a bee foraging algorithm is improved, and a mapping relation between a honey source and an energy storage state is established; the fitness value is subjected to weighted calculation by the objective function and the constraint satisfaction degree; the neighborhood search step length of employed bees is dynamically adjusted along with alpha, and reconnaissance bees generate a new nectar source based on a constraint boundary; by combining a dynamic crossover mutation operator, local optimum is effectively avoided, an optimal scheduling scheme including photovoltaic, wind power and diesel engine output and an energy storage charging and discharging strategy is finally output, and the method is suitable for intelligent scheduling of a high-proportion renewable energy microgrid.

The invention provides a methanol reforming hydrogen production fuel cell distributed power generation device and a control method, and relates to the technical field of fuel cell power generation. The device comprises a methanol reforming hydrogen production system, a fuel cell power generation system and a power generation device master controller. The methanol reforming hydrogen production system comprises three hydrogen production machines, and each hydrogen production machine comprises a methanol reforming unit and a palladium membrane purification unit. The fuel cell power generation system comprises a fuel cell stack module, a power conversion module and a fuel cell master controller. The device uses the methanol aqueous solution as fuel, comprises a standard alternating current output interface, can operate independently, and has the characteristics of easiness in fuel acquisition, wide adjustment range, flexibility in operation, reliability in operation, environment friendliness and the like.

The invention discloses a two-stage self-adaptive island recovery method for resisting secondary collapse of a power distribution network, and belongs to the technical field of island recovery of the power distribution network. A multi-objective optimization method is adopted to configure a switch, and the maximum recovery load is adjusted; when it is detected that the initial island breaks down, an active node searching method is adopted to reconstruct the island with the fault; the active node searching method comprises the following steps: if a preliminarily executed recovery plan fails and a path led out from a distributed power generation vertex cannot be communicated with a load vertex, judging that a vertex path is not communicated; when a fault occurs, determining the degree of influence caused by the fact that distributed power generation cannot supply power; when the distributed power generation cannot supply power to the key load, determining available distributed power generation; and determining an affected vertex and a recovery path thereof, and adjusting an initial value after the fault event is recovered. According to the invention, the problem that a traditional method cannot cope with secondary collapse is effectively solved, and the continuous power supply capability of island operation is remarkably improved.

The application relates to the technical field of distributed power generation, in particular to a wind-solar-diesel-storage hybrid microgrid collaborative optimization scheduling method for renewable energy, which comprises the following steps: constructing a power fluctuation characteristic sequence of multi-source output through unit output and load data; connecting trend change edge point to generate a power coupling mutation time sequence position set; comparing the output points in the path with the overall trend and uniformly adjusting the inconsistent points to output an output adjustment result set; positioning the energy switching transition position, generating an adjustment abnormal area time sequence through the continuity judgment, and outputting a scheduling checking and control state result. The application establishes a numbering sequence through power measurement point difference and carries out path correction, realizes centralized indication of the adjustment imbalance area, enhances the deviation processing pertinence, and improves the microgrid scheduling response speed and the stability of local adjustment.

The application provides a regional distributed power generation prediction-oriented federated learning method and system, and relates to the field of power prediction. The regional distributed power generation prediction-oriented federated learning method comprises the following steps: a data division step, based on a divided data demand node and a data supply node, a federated learning initialization model node is constructed, the data demand node and the data supply node are divided according to demand data or supply data based on each distributed power generation node historical data set constructed; a cost calculation step, the data training cost of the data supply node is calculated, whether the data supply node participates in the data interaction parameter training step is judged, the gradient parameter of the data supply node participating in the data interaction is uploaded and trained, and the trained gradient parameter is uploaded to the local gradient demand node. The problem of how to realize the safe and efficient transaction of the distributed power generation historical data set and improve the enthusiasm of each data user to provide real data is solved.

The invention relates to the technical field of distributed power generation, and provides a combined optimization operation control method for a wind-light-water-storage multi-energy complementary system, which comprises the following steps: collecting solar power generation capacity, hydroelectric power generation capacity, power grid load, environment wind speed and wind power generation capacity; determining the wind speed change influence degree, the wind power generation stability and the solar power generation stability, and calculating the first hydraulic power generation capacity according to the solar power generation capacity, the power grid load and the environment wind speed; according to the environment wind speed and the wind power generation stability at the adjacent collection moments and the wind speed change influence degree and the solar power generation stability at the collection moments, the first hydroelectric power generation amount is adjusted, the second hydroelectric power generation amount is obtained, and joint optimization operation control over the wind-light-water-storage multi-energy complementary system is achieved. The invention aims to continuously and stably meet the requirement of the power system for power.

The invention discloses a distributed power generation multi-user green electricity tracing method and system based on absorption decomposition, and belongs to the technical field of green electricity. The method comprises the steps that the states of a medium-voltage power distribution section and a low-voltage power distribution section are determined according to the real-time power of gateway meters of the medium-voltage power distribution section and the low-voltage power distribution section; calculating and determining the total power consumption degree, the total power generation degree and the total power consumption degree of the medium-voltage power distribution section according to the states of the medium-voltage power distribution section and the low-voltage power distribution section and the electric parameters of the medium-voltage power distribution section, the low-voltage power distribution section, the power generation terminal and the power utilization terminal by using the Kirchhoff first law; the total power supply degree of the low-voltage power distribution section, the total power consumption degree in the section and the total power consumption degree outside the section, and the power supply degree of the power utilization terminal, the power consumption degree in the section and the power consumption degree outside the section. The consumption decomposition of the electrical degree in the medium-voltage regional power grid is realized, and the technical problem that the existing method cannot perform consumption decomposition on the electrical degree in the medium-voltage regional power grid under the condition of distributed hybrid networking is solved.

This invention discloses a current protection method and system for distributed power generation distribution networks, relating to the field of distribution network technology. The invention first collects parameters of the distribution network's common coupling point in real time to predict grid-connected or islanded operation modes. It then distinguishes between inverter-type and synchronous generator-type power supplies based on harmonic content and current response speed, accurately calculating the main protection settings for each power supply. Next, it employs dual-start components for current surges and voltage dips to detect faults, comprehensively determining whether the fault is within or outside the designated area. Subsequently, it determines the braking level based on fault characteristics, dynamically adjusts power supply output limits, and forms a three-dimensional protection system with dual backup protection. Finally, it sets differentiated reclosing delay times based on fault levels and adopts corresponding closing sequences according to the operating mode. This achieves full-scenario adaptability of the protection strategy, significantly improves the accuracy of fault determination, ensures grid stability through the synergy of protection and braking, optimizes recovery strategies to improve power supply reliability, and perfectly adapts to the safe and efficient operation requirements of diverse distribution networks.

The invention discloses a wireless communication network intelligent planning method for a novel electric power system, and relates to the technical field of wireless communication network intelligent planning, and the method specifically comprises the steps: 1, determining the geographical coverage of power generation equipment of the novel electric power system, dividing equipment clusters, and calculating the equipment synchronization indexes of different equipment clusters, the method comprises a first step of calculating a total bandwidth index meeting equipment cluster communication requirements based on an equipment synchronization index in combination with equipment cluster characteristics, and a second step of constructing a wireless communication network planning scheme adaptive to novel power system communication requirements in combination with equipment cluster space distribution and bandwidth requirements. By quantifying equipment cluster characteristics and dynamic communication requirements, the network resource utilization rate and communication reliability are improved, and the method is suitable for efficient communication support of distributed power generation equipment in a novel power system.

The invention relates to the technical field of information, and particularly discloses a dynamic load prediction method, device, equipment and medium for a distributed power supply enrichment district, and the method comprises the steps: collecting and processing distributed power supply data, power utilization load data and environment data in the district, and constructing a standardized spatio-temporal data set; based on the spatio-temporal data set, adopting a covariance stability weighting method and a self-adaptive early stop screening mechanism to screen out an optimal feature subset from spatio-temporal dimensions; carrying out load prediction based on the optimal feature subset by using the constructed GRU-STConv model to obtain a preliminary prediction result; according to the method, by constructing a cloud-side collaborative incremental learning mechanism and a dynamic security constraint system, the real-time performance and adaptability of load prediction are remarkably improved, and the uncertainty caused by distributed power supply output fluctuation and multi-user power consumption behavior sudden change can be effectively dealt with.

The application discloses to belong to the technical field of power system planning and optimization, and particularly relates to an optimization method for distributed power generation and energy storage joint planning in an active distribution network, comprising: a double-layer robust planning model considering new energy output uncertainty is established, SOT is used to discretize the probability distribution of wind power and photovoltaic into a probability sequence and calculate the expected output, and an uncertainty processing mechanism is embedded to guide DG and energy storage capacity configuration; a DG and energy storage joint optimization model based on a double-layer planning framework is constructed, the upper layer optimizes site selection and capacity determination with the minimum annual total cost as the target, the lower layer optimizes energy storage scheduling with the minimum daily operation cost as the target, and planning and operation are coordinated; an improved BPSO monitoring population fitness variance based on chaos optimization is proposed, and Tent mapping chaos disturbance is dynamically introduced to realize efficient solution and global optimization of the model. On the PG&E 69 bus system, line loss can be reduced, voltage distribution can be improved, and new energy consumption capacity can be significantly improved.