49results about How to "Improve absorption capacity" patented technology

The invention relates to the technical field of power system frequency control, and particularly discloses a power optimization distribution control method based on a wind storage combined frequency modulation system, which comprises the following steps of: synchronously acquiring a power grid frequency modulation instruction, wind power output, an energy storage charge state and adjustable power capacity data; extracting wind power fluctuation frequency and amplitude characteristics and energy storage charge and discharge depth and response rate characteristics; by taking the features as state constraints, constructing a multi-objective optimization model taking the highest frequency modulation tracking precision and the minimum energy storage life loss as objectives, and solving the multi-objective optimization model to obtain a power optimal distribution coefficient; generating a wind power smoothing instruction and an energy storage amplitude limiting instruction according to the coefficient, and issuing and executing; collecting actual response data to calculate deviation, and dynamically correcting a weight coefficient and a constraint boundary of the optimization model; according to the invention, dynamic collaborative optimization of wind storage power is realized, and energy storage cycle loss and response deviation can be reduced.

This invention discloses a multi-agent game-theoretic collaborative planning method for airport integrated energy systems under physical-information-market coupling. The invention constructs a physical-market coupling model of the interaction between the integrated building energy system and the smart grid; defines independent decision-making entities such as the smart grid, multiple integrated building energy system operators, and renewable energy providers, and their multi-period objective functions; divides the planning period into multiple stages, establishing a dynamic game framework considering long-term investment and short-term operational coordination; uses subgame refined Nash equilibrium as the solution objective, and solves the inter-agent game strategies through mathematical programming and equilibrium constraints, and multi-agent reinforcement learning algorithms; generates multi-period equipment investment time-series diagrams for multi-agent collaboration and outputs typical daily scheduling schemes. The advantages of this invention are that it solves the problem of multi-agent interest conflicts and long-term / short-term decision coupling in airport integrated energy systems, reduces total system cost and carbon emissions, avoids redundant investment, and improves the renewable energy absorption capacity.

The embodiment of the invention provides a cooperative control system for a regional power grid. The regional power grid comprises a new energy electric field, a control center and n monitoring points. The cooperative control system provided by the embodiment of the invention is used for solving the problems of complex harmonic pollution, low efficiency of energy routing and other characteristics of the regional power transmission grid after the new energy is accessed to the power grid in a high proportion. The cooperative control system comprises a cooperative scheduling center and n cooperative scheduling groups in communication connection with the cooperative scheduling center, each monitoring point is connected to one cooperative scheduling group, the cooperative scheduling center is in communication connection with the control center, and each cooperative scheduling group comprises an energy router and a distributed power flow controller. The distributed power flow controller and the energy router are connected with the monitoring point. According to the cooperative control system provided by the embodiment of the invention, based on the cooperative control strategy of the energy router and the distributed power flow controller, harmonic waves in the power grid can be better treated, and the stability of the power grid is improved.

The application relates to a hybrid AC / DC microgrid based on a reconfigurable modular multilevel converter and an operation method and a storage medium thereof. The microgrid comprises a modular multilevel converter (MMC), the MMC comprises a plurality of phase legs, each phase leg comprises an upper arm and a lower arm, each arm is connected with a plurality of sub-modules in series, each sub-module comprises a semiconductor switching device, a capacitor energy storage unit and a controllable bypass switch structure; the MMC is connected with an AC bus and a DC bus respectively to realize bidirectional power conversion. The system comprises a plurality of feeder branches which are connected with the bus through power switching devices. Distributed edge controllers are arranged at the sub-modules or feeder interfaces to collect voltage and current parameters and output isolation or bypass signals in an abnormal condition; meanwhile, hierarchical reconfiguration controllers are arranged to perform structure reconfiguration and power path redistribution. The application realizes fault rapid isolation and reconfiguration cooperation through hierarchical control, maintains the voltage stability of the key load bus, and realizes the effect of improving the system reliability and power supply continuity.

The invention relates to the technical field of power system operation optimization, and discloses a power grid power cut plan comprehensive optimization method and system for ensuring safety, supply and consumption, and the method comprises the steps: employing Latin hypercube sampling to generate a multi-fault scene set based on collected historical and real-time operation data; constructing a reinforcement learning environment model based on the multi-fault scene set; based on a reinforcement learning environment model, a multi-target reward function is calculated in all fault scenes, and corresponding reward values are generated by using power failure economic loss, safety constraint violation terms, new energy abandoned electricity quantity and operation cost of each scene and used for driving strategy advantage and disadvantage judgment of an intelligent agent in different scenes; and based on the reinforcement learning environment model and the multi-scene reward value, training the intelligent agent by using a reinforcement learning algorithm, so that the intelligent agent performs interactive learning in the multi-fault scene set, and finally, outputting a power-cut plan scheme meeting the requirements of ensuring safety, ensuring supply and ensuring consumption. The power grid toughness, the power supply reliability and the new energy consumption capability are improved.

The application discloses a kind of dynamic regulation and grid-connected response control methods of new energy station, through real-time data acquisition, multi-parameter fusion analysis and dynamic regulation strategy, realize the stable grid-connected operation of new energy station and power grid, first, data acquisition and pretreatment are carried out, respectively collect power generation parameters, power grid parameters and environmental parameters, and through data cleaning, outlier processing and normalization, ensure data quality, based on preprocessed data, three kinds of regulation models are constructed, power regulation, voltage regulation and frequency regulation, based on regulation model, the key data of new energy station before grid connection is regulated, finally, after grid connection evaluation and feedback, if current control strategy is unqualified, control strategy is re-adjusted, through the combination of data driving and model prediction, the transformation of new energy station from "passive compliance" to "active support" power grid is realized, and the grid-connected reliability and power grid consumption capacity are significantly improved.

The water power station peak regulation range two-dimensional evaluation method, device, equipment and storage medium construct a complete technical process covering water power station basic benchmark parameter collection, actual adjustable capacity accounting, real peak regulation demand matching of power grid side, and double-dimensional comprehensive evaluation. Unlike the evaluation method relying only on rated installed capacity or single peak-valley difference index, the actual regulation capacity supply under the real-time running state of the water power station unit and the real peak regulation mileage demand corresponding to the load curve characteristics of the power grid are considered at the same time. The two-dimensional evaluation system is constructed combined with the rated installed capacity benchmark parameter, the accurate, comprehensive and three-dimensional evaluation of the water power station peak regulation range is realized, and the quantitative technical basis is provided for the scientific formulation of power grid dispatching plan, the deep mining of water power station operation benefit, and the improvement of new energy consumption capacity of power system.

The application provides a wind power hydrogen production system economic analysis method and device based on a dedicated line power supply mode. The wind power hydrogen production system comprises a heating device for maintaining the temperature of an electrolytic cell within a preset temperature range. The method comprises the following steps: inputting preset wind power output power into the hydrogen production system, determining the size relationship between the wind power output power and the minimum rated power and the standard rated power, and determining the interval of the wind power output power; determining the actual power consumption and the working temperature of the hydrogen production system based on the wind power output power in different intervals; determining the total hydrogen production and the total power consumption of the hydrogen production system within a preset time according to the correlation between the current working temperature, the current actual power consumption and the hydrogen production, and determining the total operation income of the hydrogen production system. The application quantitatively analyzes the system economy under different input conditions or control strategies of the wind power hydrogen production system based on the dedicated line power supply mode under the condition that the alkaline electrolytic cell has a shutdown heat preservation function.

The application relates to the technical field of power control, in particular to a coordinated control method and system for grid-connected new energy, wherein the total active power P all output by grid connection sent by an AGC of a power grid dispatching end and the real-time power P s of each grid-connected new energy power station are used to calculate an active power optimization distribution value of each target hydroelectric generating set; a first instruction I1 containing the active power optimization distribution value is sent to the target hydroelectric generating set participating in compensation, so as to instruct the target hydroelectric generating set to carry out load adjustment based on the active power optimization distribution value; when a power peak appears in the new energy power station, the target hydroelectric generating set reduces the output of active power; when a power valley appears in the new energy power station, the target hydroelectric generating set increases the output of active power; thereby, the change of grid-connected power is reduced, the accommodation capacity of the power grid for new energy is improved, and the safety and stability of power grid operation are improved.

An optimization method for high back pressure heat supply unit participating in flexible adjustment of power grid, the adjustable electric load adjustment interval of the unit with extraction steam turbine is calculated by the proposed simplified formula, and the optimization method for supplementing heat load is proposed according to the type of heat load for the unit without extraction steam turbine, and the electric load adjustment interval of the unit is further determined by the linear characteristics of unit output and heat load under rated back pressure and the correction coefficient of industrial extraction steam. Data support is provided for the dispatching department to issue dispatching instructions, and partial 'thermal and electric decoupling' is realized by supplementing the heat load source of high back pressure unit, and the power supply and new energy consumption capacity are improved.

This application discloses an adaptive configuration method, apparatus, device, and storage medium for JP cabinets, belonging to the field of JP cabinet load configuration technology. This application obtains a main node graph characterizing the real-time operating status of a distribution transformer area and a secondary node graph characterizing the future operating trend and adjustability of the distribution transformer area; it performs cross-graph feature fusion on the main node graph and the secondary node graph, and outputs adaptive configuration instructions for the nodes where each JP cabinet in the distribution transformer area is located based on the cross-graph feature fusion result; it sends the adaptive configuration instructions to the corresponding JP cabinets for execution and collects the operating status data after execution; based on the operating status data, it synchronously updates the main node graph and the secondary node graph, and continuously optimizes the configuration parameters of each JP cabinet based on the updated main node graph and secondary node graph, thereby achieving the effect of accurately allocating the load of the JP cabinets.

The application relates to the technical field of power systems, and discloses a power system source-network-load-storage collaborative intelligent planning system, which obtains the power grid load value of a target power grid at fixed time intervals; carries out discrete wavelet transform processing on the time-series power grid load value to obtain M time-scale wavelet coefficients, and constructs a corresponding fractal elastic demand kernel in combination with a preset fractal order; obtains the energy storage value of each energy storage device in the nth physical node and the phase angle of each energy storage device at fixed time intervals, and determines the inertia vector phase field of the nth physical node in combination with a preset angular frequency; constructs a synchronous offset matrix based on the inertia vector phase field of each physical node and the fractal elastic demand kernel of each time scale; and constructs a target function in combination with the synchronous offset matrix based on the energy storage unit cost and the response unit cost, so as to determine the energy storage configuration and demand response strategy of each physical node.

The invention discloses a doubly-fed flywheel energy storage-based network following-construction fusion control method, which comprises the following steps of: 1, acquiring electrical parameters of a stator and a rotor of a doubly-fed fan, performing coordinate transformation to obtain dq-axis components, and calculating real-time output power of the stator; 2, a virtual internal potential phase is generated through virtual synchronous control, a phase-locked loop obtains a power grid phase, modulation voltage reference values are output respectively, and a final modulation voltage reference value is obtained through weighted sum so as to realize dynamic fusion control of network following and network construction characteristics, and in the network following control, a modulation voltage is obtained through a rotating speed-active and reactive outer loop and a current inner loop, and the current inner loop is added to the rotating speed-active and reactive outer loop; in the network construction control, instantaneous power is calculated through electrical parameters, a reference phase and voltage are obtained through virtual synchronous control, and modulation voltage is output through a single voltage loop. According to the method, the characteristics of the network following current source and the network construction voltage source are fused, advantage complementation is achieved, the method has fast power adjustment and power grid supporting performance, the method is adaptive to a wide-short-circuit-ratio power grid scene, and therefore the weak power grid stability and the new energy consumption capacity can be effectively improved.

The invention discloses an online evaluation method and system for the grid-connected capacity margin and trend of a Sagomean new energy base. According to the method, on the basis of meteorological data, power grid operation data and equipment state data which are collected in real time, the real-time grid-connected capacity margin of the new energy base is calculated through multi-source data fusion and dynamic modeling, and the short-term change trend of the new energy base is predicted through a time sequence analysis and machine learning algorithm. The system comprises a data acquisition layer, a fusion analysis layer, an evaluation prediction layer and a visual interaction layer, and full-process automation from data to decision is realized. According to the invention, the new energy consumption capability of the Sagomean region can be improved, the safety and economy of power grid operation are enhanced, and a scientific basis is provided for scheduling decision making.

This application relates to a dynamic topology adaptive power flow optimization system for high-proportion renewable energy access. The system includes a data acquisition unit, a dynamic topology analysis unit, a renewable energy prediction unit, an adaptive optimization unit, and a control execution unit. This system automatically updates the topology and identifies vulnerable areas by tracking real-time changes in grid switch states. It incorporates short-term renewable energy output forecast data into the optimization model and directly links it to the control execution unit to adjust inverter parameters, thus resolving power flow imbalances caused by renewable energy fluctuations. A new safety verification unit simulates strategy execution results, automatically triggering re-optimization upon failure, avoiding delays caused by manual intervention. This system does not rely on complex algorithm models; it achieves fully automated management and control through logical linkage between units. Simultaneously, a human-machine interaction unit allows operation and management personnel to intervene in strategy adjustments, balancing automation and flexibility.

This invention discloses a method for optimizing the configuration of energy storage in integrated energy systems based on mutual information constraints, belonging to the field of integrated energy system planning optimization and energy storage configuration technology. The method obtains typical daily scenarios, scenario weights, and system parameters to construct an energy storage configuration optimization model with constraints including source-load balance, energy storage state of charge (SOC), and multi-energy conversion equipment. A first candidate configuration set is obtained through a first-stage multi-objective optimization without mutual information constraints. The candidate configurations are then simulated to extract time-series variables such as energy storage power, SOC, system revenue, load shedding, and abandoned energy, and the mutual information index of the operating trajectory is calculated. A mutual information constraint threshold is generated based on the mutual information distribution and constraint strength parameters and embedded into the second-stage optimization, outputting recommended energy storage capacity, power specifications, inverter specifications, and scheduling strategies. This method can reduce capacity redundancy and improve energy storage utilization.

The application discloses a sludge flash drying system integrated with a fluidized bed gasification furnace, which comprises a wet sludge conveying subsystem, an outlet of the wet sludge conveying subsystem is communicated with an inlet of a sludge flash drying subsystem, an outlet of the sludge flash drying subsystem is connected with an inlet of a gas-solid separator, an outlet of the gas-solid separator is communicated with an inlet of a dry sludge conveying subsystem, an outlet of the dry sludge conveying subsystem is communicated with an inlet of a fluidized bed gasification furnace subsystem, an outlet of the fluidized bed gasification furnace subsystem is communicated with a gas-gas heat exchanger, an outlet of the gas-gas heat exchanger is communicated with an inlet of an external combustion chamber, and an outlet of the external combustion chamber is communicated with a drying gas inlet of the sludge flash drying subsystem. The application recycles the heat value generated in the sludge gasification process for sludge flash drying, so that the energy consumption is low, and the economic cost of system operation is reduced. Due to the high sludge drying efficiency and the strong sludge disposal capacity, the resourceization, reduction and efficient clean utilization of sludge can be realized.

The invention provides a wind power energy storage management system and method based on distributed calculation, and relates to the technical field of wind power energy storage management. According to the method, a wind power fluctuation mode library is constructed through a multi-scale time sequence decomposition algorithm embedded with an asynchronous communication mechanism, and a sensitive feature region of a potential fluctuation propagation risk is accurately extracted; constructing an energy storage operation state mode library by using a state evolution clustering algorithm embedded with a temperature response hysteresis characteristic, and accurately delimiting a state characteristic region of a capacity abnormal attenuation risk; further constructing an energy storage safe operation domain and determining a safe charging and discharging mode by adopting a path tracking algorithm reflecting one-way propagation from fluctuation risk to capacity attenuation risk based on a spatial topological structure of the sensitive characteristic region and the state characteristic region; an energy storage power coordination scheme and a charging and discharging control instruction are generated by adopting a multi-agent collaborative decision-making algorithm with embedded node state evolution path constraints, and the operation safety and economy of the wind power energy storage system are improved.

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.

This invention discloses a low-carbon economic dispatch method and apparatus for a hydrogen-electricity combined system, belonging to the field of electrical control engineering technology. The method aims to minimize system operating costs under carbon tax considerations, using discretized linear dynamic energy flow equations as constraints for the operation of the hydrogen-electricity network. It constructs a low-carbon economic dispatch model for the hydrogen-electricity combined system, which can both characterize the dynamic characteristics of the hydrogen-natural gas transportation process and meet the requirements of optimization problem solving. It can accurately reflect the operating status of the hydrogen-natural gas system by tracking changes in gas composition during transportation. While preserving the model's characteristics, it reduces the computational cost of real-time solving of the nonlinear dynamic energy flow model. The method uses the low-carbon economic dispatch model of the hydrogen-electricity combined system for dispatching, ensuring that the combined system always operates within safe boundaries, improving the system's renewable energy absorption capacity, and reducing system operating costs and carbon emissions.

The invention relates to a distributed photovoltaic energy storage grid-connected power dual-objective optimization control method based on a Tiancattle swarm algorithm, and belongs to the technical field of distributed photovoltaic energy storage grid-connected control. Aiming at the problems of voltage out-of-limit and operation economy of the power distribution network caused by superposition of photovoltaic fluctuation and load fluctuation, the method comprises the following steps: establishing a light storage system model, setting a double-layer objective function with the lowest system operation cost and the minimum voltage fluctuation, applying power constraint, and performing optimization solution by adopting a Tiancattle swarm algorithm. The dual optimization objectives of power distribution network node voltage stabilization and system economic operation are achieved, and the photovoltaic absorption capacity and optimization efficiency are effectively improved.

The invention belongs to the technical field of electric power, and discloses an electric power and electric quantity balancing method in a main distribution micro collaborative development network, which comprises the following steps of: presetting a power balancing model, inputting position data of each node of a target electric power system and historical operation data in a time period T0 before a current operation moment t, and calculating the position data of all nodes in the target electric power system at (t-1-T0, t-1-T0, t-1-T0, t-1-T0); and judging whether the current operation moment t is an end moment Te or not based on the predicted net load value of each node and the layering and partitioning result of the current moment, and carrying out layering and partitioning and power balance calculation of the next moment. The invention further discloses a source network load storage boundary numerical calculation method. The method has the main beneficial technical effects that the partitioning result is dynamically adjusted according to the real-time operation state, the main distribution micro-power electric quantity balance is realized, the power generation cost can be reduced, the consumption capability of new energy can be improved, and the stability and reliability of a power system under the peak load can be effectively improved.

The embodiment of the invention relates to the field of power systems, and provides a distributed new energy active power automatic control method and device based on a multi-source cooperative control framework, computer equipment and a storage medium. Constructing to obtain a multi-objective optimization model; solving the multi-objective optimization model by adopting a parallel optimization algorithm with an elitism strategy to obtain an optimized power distribution scheme; and based on a high-speed communication technology and an inverter accurate modulation technology, executing a control instruction associated with the optimized power distribution scheme. By adopting the method, the power control effect of the distributed new energy power system can be improved.

This invention discloses an optimized scheduling method for a power system incorporating biomass indirect co-firing units, belonging to the field of power system optimization. The method includes: establishing a power system scheduling model with the objective function of minimizing the sum of power generation cost, coal-fired unit start-up cost, carbon trading cost, and curtailment penalty; and using the following optimization variables: the quality of thermal coal input to the boiler of each coal-fired unit at each time, the quality of biomass input to the pyrolysis furnace of each coal-fired unit at each time, the start-up status of each coal-fired unit, the net carbon dioxide emissions of each coal-fired unit at each time, and the renewable energy curtailment of each renewable energy unit at each time. The optimized scheduling plan is obtained by solving the power system scheduling model under preset constraints. These preset constraints include the operational constraints of the pyrolysis furnace, boiler, and turbine within the coal-fired units. This invention can simultaneously improve the renewable energy absorption capacity and reduce carbon emissions while satisfying the operational constraints of the pyrolysis furnace, boiler, and turbine within the coal-fired units.

The present application belongs to the technical field of scene optimization technology combined with multi-objective optimization decision, and particularly relates to a rural power distribution network source-grid-load-storage coordinated optimization method based on PCAM-GMM. The problems of high system operation cost and large system pollutant emission in the prior art are solved. The present application optimizes the scheduling of system energy conversion equipment and shared energy storage systems, improves the electric load demand side response capability and demand side response level of the multi-regional integrated energy system under the premise of meeting the safe operation of the multi-regional integrated energy system, improves the energy utilization rate and system economy of the system, and reduces the emission of pollutants.

The invention discloses a firewood-generator-containing virtual power plant control method based on green certificate-stepped carbon bidirectional interaction, and the method comprises the following steps: building a virtual power plant model through the comprehensive consideration of the physical characteristics of all devices in a virtual power plant; a bidirectional interaction mechanism is introduced, and a novel bidirectional interaction model is constructed; based on the virtual power plant model and the bidirectional interaction model, establishing an optimization model with the goal of minimizing the overall operation cost and transaction cost of the virtual power plant, and rewriting the optimization model into a robust optimization model of a min-max-min structure; splitting the robust optimization model into a main problem and a sub-problem by adopting a column constraint generation algorithm and a strong duality theory; camp is adopted; and solving the main problem and the sub-problems by a CG algorithm to obtain a virtual power plant control scheme. According to the method, the renewable energy consumption capability can be effectively improved, and the economy and robustness of the virtual power plant are guaranteed.

The power system real-time scheduling method and system considering energy storage differentiated response comprise: updating wind power and photovoltaic output and load prediction data every preset time interval in a scheduling period; a robust optimization model containing new energy prediction error uncertainty and energy storage differentiated response is established, including constructing an objective function, robust operation constraints of different types of energy storage power stations, system power balance constraints and line transmission capacity constraints; a robust dual method is used to convert the robust optimization problem containing interval uncertainty into a deterministic mixed integer linear programming problem; according to the wind power and photovoltaic output and load prediction data in each scheduling period, the robust optimization model of the power system real-time scheduling is solved every other scheduling period, and the real-time power instructions of two types of energy storage and conventional units are output. The present application can fully exert the regulation flexibility and comprehensive benefits of different types of energy storage power stations, can adapt to different regional new energy fluctuation characteristics, and can improve the new energy consumption capacity.

The invention provides a prediction method and system for regulating and controlling an electric vehicle charging pile based on a micro-grid, and the method comprises the steps: S1, collecting multi-source heterogeneous data through a micro-grid cooperative communication interface, and carrying out the data preprocessing; s2, acquiring multi-source heterogeneous data after data preprocessing, inputting the multi-source heterogeneous data into the constructed load prediction model, and performing local prediction to obtain a charging load prediction result; s3, the charging load prediction result is uploaded to the micro-grid EMS, and a charging and discharging scheduling instruction is generated in combination with the real-time operation state of the charging pile and is issued to the electric vehicle charging pile; s4, the electric vehicle charging pile executes the charging and discharging dispatching instruction through a bidirectional power module, and charging power or reverse discharging power adjustment is achieved; the method achieves the adjustment of charging power or reverse discharging power, improves the prediction precision, strengthens the new energy consumption capability, accelerates the response speed, strengthens the stable support of the microgrid, breaks the protocol barrier, improves the integration efficiency of the system, and optimizes the economic benefits.

The invention relates to the technical field of micro-grid scheduling, and discloses a micro-grid dynamic scheduling method and system based on edge calculation and electric fingerprint identification. The method comprises the following steps: collecting current and voltage waveforms of a user total inlet, capturing a transient waveform data segment, and identifying the type and real-time power of an electric appliance; electric appliance types and real-time power are received and aggregated, and a load detail table is constructed; a schedulable load resource pool is constructed based on the load detail list, and the micro-grid central controller calculates a load regulation and control instruction according to the schedulable load resource pool; and the edge computing node selects an electric appliance from the load detail list to execute control and feeds back the cut-down power to the micro-grid central controller. According to the method, transient waveforms are collected in a non-intrusive mode at a user total entrance through the electric fingerprint identification technology, V-I track features, harmonic components and starting transient features are extracted for template matching, accurate identification of each electric appliance type and real-time power is achieved, and the technical problem that a traditional dispatching system can only obtain the total power is solved.

The embodiment of the invention provides a low-side heating gradient utilization system and an operation method, the system comprises a boiler and a steam turbine, and the steam turbine comprises a high-pressure cylinder, an intermediate-pressure cylinder and a low-pressure cylinder which are connected in sequence; the heat supply system comprises a first steam pipeline and a heat supply network heater; the low-side cascade heat supply subsystem comprises a second steam pipeline, and a first shut-off valve, a first check valve and a pressure reducing valve are sequentially arranged on the second steam pipeline in the steam flowing direction. A steam side inlet of the heat exchanger is connected with an outlet of the second steam pipeline; an inlet of the third steam pipeline is connected to a steam side outlet of the heat exchanger, an outlet of the third steam pipeline is connected to the first steam pipeline, and a second check valve and a second shut-off valve are arranged on the third steam pipeline; an inlet of the water side bypass is connected to a heat supply network water return main pipe, an outlet of the water side bypass is connected to a heat supply network water supply main pipe, the water side bypass penetrates through the water side of the heat exchanger, and a flow adjusting device is arranged on the water side bypass.