456results about How to "Improve absorption capacity" patented technology

The invention relates to a large grid real-time scheduling method for accepting access of wind power, which belongs to the technical field of power system operation and control. The method comprises: according to the characteristics of wind power and load fluctuation and the control characteristics of generator sets, classifying the generator sets in the whole grid; acquiring the current plan, real-time output, connecting line plan, numerical weather prediction and other related information of each generator set; performing ultrashort period load prediction and wind power output prediction towork out the output regulation amount at next moment of real-time scheduling generator sets and construct an active real-time scheduling model with the smallest wind loss; working out the output regulation amount of the real-time scheduling generator sets including the wind power generator sets by using a simplex method; and transmitting the next output regulation amount of thermal power generator sets directly, and giving the output maximum value at next moment of the wind power generator sets. In the invention, the combined optimized scheduling of the wind power generator sets and traditional generator sets is performed to eliminate wind power generation prediction deviation and load prediction deviation in advance, so the wind power accepting capability of a power grid is improved to the maximum extent while the operation economy of the power grid is guaranteed.

The invention discloses a multi-microgrid interconnected operation coordinated scheduling optimization method in consideration of interaction response. The method comprises the following steps: initializing a system and acquiring a related parameter in the day-ahead optimization process, wherein each microgrid independently solves the respective optimization strategy according to the initialization information; and then performing information interaction in a microgrid cluster to share the respectively acquired optimal strategies, and updating the system state information, wherein a system control center judges whether the Nash equilibrium is achieved; entering the intra-day optimization stage, performing short-term prediction on the scenery output and load demand, inputting the short-termprediction data in single microgrid to establish an optimization model, performing rolling optimization on the system and solving the same; selecting all control variables in a control time domain asthe actual scheduling scheme after the solution is finished, waiting for the next optimization period, and repeating the above optimization process. Through the optimization method disclosed by the invention, the consumption capacity on the new energy by the microgrid and the system reliability in the fault can be effectively improved, and the economic benefit of the microgrid is increased to a certain degree.

The invention discloses a new-energy-consumption-based source-grid-load coordination control method and system. On the basis of continuous increasing of a new energy scale and occurrence of a novel controllable load, overall cooperative dispatching is carried out on dispersed controllable loads in a region by using a multi-element coordination control technique, thereby realizing characteristic complementation between the several kinds of energy and controllable loads and thus realizing source-grid-load interaction. According to the invention, the new-energy-consumption-based source-grid-load coordination control system is divided into a whole network optimization scheduling layer, a regional monitoring and coordination layer, a local monitoring and control layer, and a primary equipment layer. With utilization of the network communication, data processing and coordinated control technologies, the system provides a technical base for a novel integrated operation mode of regional multi-energy power generation and production, load electricity usage and grid operation by taking improvement of the consumption capability of the new energy of the grid as an objective.

The invention discloses an electricity-gas interconnected comprehensive energy system peak clipping and valley filling method based on electricity-to-gas conversion. The method comprises the steps of firstly respectively establishing a power network model, a natural gas network model, an electricity-to-gas conversion model and a gas turbine model, wherein the power network and the natural gas network are coupled to form an electricity-gas interconnected comprehensive energy system via the electricity-to-gas conversion model and the gas turbine model; then introducing an economic conversion coefficient to project a net load peak clipping and valley filling target to an economic dimension, and forming a target with the lowest comprehensive cost together with the target with the lowest system operation cost, and establishing an electricity-gas interconnected comprehensive energy system peak clipping and valley filling model with consideration on various constraints of the power network and the natural gas network; and solving by using optimization software The General Algebraic Modeling System (GAMS), wherein an example analysis result shows that the model provided by the invention has good peak clipping and valley filling effect.

The invention discloses a game theory-based multi-micro-grid interconnection running optimization method. The method includes the following steps: analyzing load demand response characteristics of allmicro-grids, and constructing a micro-grid group model; then initializing a system, establishing a day-ahead game model, and calculating a net load of the i-th micro-grid in a j-th period and a totalnet load amount of the system by day-ahead forecast data; obtaining respective optimal strategies by solving by all the micro-grids according to initial status, carrying out information exchange in amicro-grid group, sharing respectively obtained best strategy information, and updating status information; judging, by a system control center, whether Nash equilibrium is reached, and if the systemmeets an equilibrium condition, ending a game, and outputting a final optimization strategy set; and otherwise, turning ahead to carry out optimization again according to updated status information.The method can give consideration to both the stability and the economy of the system, and realize individual benefit maximization and optimal group running of the micro-grids at the same time.

The invention belongs to the technical field of optical storage combined power generation system virtual inertia compensation, and relates to a virtual inertia compensation method for an optical storage combined power generation system based on active support control. The method comprises: modeling a photovoltaic power generation system, analyzing the virtual inertia of the optical storage combined power generation system, and including inertia analysis of a photovoltaic-energy storage system. The active support control strategy based on the standard three-order model of the synchronous machine is adopted for the photovoltaic power generation unit, the port characteristics of the synchronous generator are better simulated, necessary inertia and damping are provided for the system, the voltage stability support capacity and the frequency stability support capacity of the system after photovoltaic grid connection are improved, and the robustness of the system is effectively improved. According to the invention, the low-frequency oscillation suppression capability of the photovoltaic-energy storage combined system can be enhanced, the system stability is improved, and the new energy photovoltaic absorption capability of the power grid is further promoted.

The invention discloses a virtual power plant multi-object optimizing scheduling method in consideration of a load side and a power supply side. The virtual power plant multi-object optimizing scheduling method in consideration of the load side and the power supply side comprises establishing a VPP multi-object optimizing scheduling model in consideration of coordinated operation of the load side and the power supply side and solving of the VPP multi-object optimizing scheduling model in consideration of the load side and the power supply side. According to the virtual power plant multi-object optimizing scheduling method in consideration of the load side and the power supply side, new energy consumption improvement capabilities of the load-side resource and the power-supply-side resource are comprehensively considered; and furthermore system operation cost and environment cost are reduced.

The invention relates to an active power distribution network coordination planning method considering a multi-subject benefit game. The method comprises the following steps of: firstly, determining respective objective functions and constraint conditions by taking the maximum annual net income as an objective of a network-source-load main body, and respectively establishing independent planning models of a network layer, a source layer and a load layer; then, an upper-layer strategy type game planning model is established with the fact that the three-party subjects achieve respective benefitbalance and stability in the game as an upper-layer target; taking the minimum reduction amount of the distributed power supply corresponding to wind curtailment and light curtailment as a target, andestablishing a lower-layer active management model by considering on-load transformer tap adjustment and energy storage adjustment; information transmission of the upper-layer game planning model andthe lower-layer active management model is considered, and a complete active power distribution network coordination planning model considering the multi-subject benefit game is established. The model established by the invention better adapts to maximization of benefit pursuits of all subjects in the gradually open power market, and the planning scheme solved based on the model can realize 'network-source-load' multi-subject friendly interaction and coordinate the overall planning.

The invention relates to a large grid active power real time control method in a restricted wind power state, and belongs to the technical field of operation and control of electric systems. The method comprises the following steps: firstly obtaining the current restriction quantity of a wind power field by using a benchmark dynamo method or a theoretic estimation method according to wind speed data, acquired in real time, of the wind power field and relative parameters of a generator; and then establishing a model in active real time control by the system according to the minimum wind-abandoning principle, optimizing and solving the model by using a suggested solving algorithm to obtain the current maximum absorptive wind power quantity of the system and an optimal adjusting strategy of other water-fire generator systems, and interpolating the obtained adjusting strategy by using a difference value method so as to be compatible with the existing ACE (access control entry) order format. The method provided by the invention has the following advantages: a real-time control loop using the minimum wind-abandoning loss as a target is added between a real-time plan and the ACG (application control gateway) control, so as to implement the joint optimization scheduling of the wind power and the traditional unit through the wind power field wind-abandoning quantity obtained by real-time computation, so that the wind-abandoning electric quantity caused by the prediction error of wind power generation is maximally reduced, and to the accepting capability of the grid to the wind power is furthest improved while the economical efficiency of the grid operation is ensured.

The invention provides a gridding coordinated planning method of composite energy multi-energy complementation. The method comprises following steps of acquiring current situations of the power grid and energy resource utilization condition information; initial dividing grids in a demonstration area, predicting load and composite energy demands, and correcting a grid division scheme of a geographical information system; formulating constraints and net rack planning rules, constructing a composite energy coordinated development basic model, and formulating a target net rack coordinated planningscheme; formulating a target net rack scheme of each level year and each long-range year, and carrying out composite energy coordinated planning operation management service platform construction; and carrying out economical benefit estimation and providing a demonstration region power distribution network composite energy coordinated development operation mode. According to the invention, the park can be quite properly and rationally planned; a composite energy planning optimal scheme can be obtained; by use of the gridding method of the geographical information system, coordinated planningis carried out, and energy interaction and gradient utilization are achieved; the peak adjusting pressure of the power grid is reduced; and the digestion ability for clean energy is improved.

The invention discloses a transmission network planning method considering flexible supply-demand balance, which comprises the following steps: according to flexible demand and supply under differenttypes and time scales, an evaluation index of power system flexibility considering supply-demand balance being established; based on the evaluation index of power system flexibility, considering economy, reliability and security, a bilevel transmission network expansion planning model being established; based on the bilevel expansion programming model of transmission network, the transmission network being planned. The method effectively solves the problem that the discarding of renewable energy in current system is seriously disjointed with the construction of power source and the planning ofpower network, at the same time, the invention can effectively solve the problem of economical and safe transmission of renewable energy pow generation in a high-proportion renewable energy system, can make scientific and effective guidance for grid planning work, and finally realize the optimization of resource utilization and the maximization of social benefit.

The invention relates to an electric peaking combined heat and power (CHP) waste heat recovery device and an operating method thereof. The device comprises an inner power plant portion and a heat exchange station portion, wherein the inner power plant portion comprises a heat exchanger, a waste heat recovery electric heat pump, an energy-storing electric heat pump, high/low temperature water storing tanks, a heating network heater, a valve and a circulating water pump; the heat exchange station portion mainly comprises high/low temperature water storing tanks, an electric heat pump, a heat exchanger, a valve and a circulating water pump; as for the operating method of the device, the device can operate in periods of an electrical load trough, an electrical load flat peak and an electrical load peak respectively through combination of different valve switches, the high temperature water storing tank is used for balancing the difference between system heat supply amount and heating load, the low temperature water storing tank is used for stabilizing steam exhaust waste heat recovery amount, thereby, the problem that the electricity generation peaking capacity is limited due to mutual coupling of electricity generation and heat supply in traditional operating modes of 'heat determines electricity' is solved, a CHP unit can participate in power grid load regulation, the power grid regulating capacity can be improved so as to deal with the condition of constantly increasing of electrical load trough-to-peak difference, and the absorptive capacity of a power grid for wind power generation can be improved so as to reduce phenomena of 'fan suspending'.

The invention discloses a multi-target dynamic scheduling method for a wind storage hydrothermal power system based on multi-source complementation, and the method comprises the following steps: 1, building a multi-target dynamic economical scheduling model: 1.1, building four optimization targets: take the minimum thermal power coal consumption, the minimum thermal power output adjustment volume, the maximum thermal power generation and the minimum load fluctuation after the thermal power is inputted to a power grid; 1.2, determining the constraint conditions of the four optimization targets; 2, carrying out the weighting and conversion of the four optimization targets, and obtaining a target function F of the multi-target dynamic economical scheduling model; 3, combining with the target function F, and solving the multi-target dynamic economical scheduling model through employing the improved plant growth simulation algorithm. According to the invention, the method gives full consideration to the economical performance and stability of thermal power operation, the utilization rate of the wind power and hydropower and the adjustment effect of a pumped storage power station, and guarantees the economical performance and stability of operation of the thermal power generating unit while promoting the consumption of the wind power.

The invention discloses a distributed wind-solar-storage integrated microgrid intelligent control system, which comprises a distributed generation unit, a distributed energy storage unit, a flexible load unit, a control unit and a network communication unit. The monitoring platform receives the flexible load unit through the network communication unit, the signals collected by the distributed energy storage unit and the distributed power generation unit, On the one hand, the monitoring platform stores the received acquisition signals in the database server, on the other hand, the received acquisition signals are fused and processed, and then send control commands to the flexible load unit, the distributed energy storage unit and the distributed power generation unit through the network communication unit after the processing; The monitoring platform displays the processing results on the display screen, and communicates with the workstation in two directions for engineers to control the monitoring platform, and the monitoring platform communicates with the mobile terminal in two directions through the Internet. Through reasonable optimization and dispatching, the utilization rate of clean energy and absorbing capacity are improved, so as to to achieve the optimal power matching of micro-grid system, to achieve efficient energy conservation.

The invention provides a wind power consumption ability analysis method considering the standby requirement. The method includes the following steps that a standby requirement probability distribution model is established after wind power integration is conducted; standby constraint conditions are determined; a production simulation model considering the standby requirement is established; according to the generated simulation model, the wind power consumption ability is analyzed. According to the method, the standby requirement probability distribution model is established after wind power integration is conducted, the optimal required reserve capacity is obtained after wind power integration is conducted so that a start-up mode and a service capacity plan curve of a unit can be optimized, the wind power consumption ability can be improved, and a reference is provided for regional power grid planning.

The invention discloses an active distribution network (ADN) voltage real-time fuzzy control method. The method comprises steps: according to the maximum and minimum values of feeder voltage uploaded by each feeder, the maximum voltage and the minimum voltage of the distribution system are put forward, if certain feeder voltage exceeds a threshold, a reactive power fuzzy controller FQC for DG (distributed generation) is started, and reactive power is injected or absorbed through the DG; and if the reactive power fuzzy controller FQC for the DG can not restore the voltage to a normal level and deltaVsys</=deltaVmax-deltaalpha, a transformer on-load tap changer fuzzy controller FOC is started, the transformer on-load tap changer OLTC completes a voltage regulating task, or otherwise, an FPC is started, and the deltaVsys is reduced, wherein the deltaalpha is an adjusting value of the tap changer. The main control unit of the invention has a simple control algorithm, the needed communication data are few, the calculation amount is small, the decision-making time is short, problems of over voltage and low voltage caused due to mutual action between the OLTC and the DG can be lessened, and the consumptive ability towards the DG by the ADN can be improved.

The invention discloses a renewable energy capacity allocation method for promoting consumption, includes the following steps: (1) acquiring a power network topology and modeling according to the power network structure to form a data matrix capable of representing the characteristics of the power network, (2) to test the rationality of power network data and its adaptability to power network planning, (3) Analyzing the boundary conditions of various flexible resources in the power grid, (4) uploading the renewable energy and load power curve in the dispatching center, (5) establishing the renewable energy planning model which includes the planning layer model and the operation layer model, (6) solving the renewable energy planning model based on Matlab simulation platform; The invention comprehensively considers the constraint of source-network-load-storage, and establishes a model aiming at the renewable energy consumption based on the objective functions and constraint conditions ofthe planning layer and the operation layer, so as to obtain the multi-point layout and planning of the renewable energy with the highest renewable energy utilization rate and the largest renewable energy consumption capacity.

The invention provides a peak shaving method of a power network in a high wind and light permeability area based on load control. The joint peak shaving optimization model involved with a load control, peak shaving of thermal power plant, tie-line regulation, wind and light discarding jointly participate in is established. By setting different permissible fluctuation limits for tie lines and calculating the model, the optimized peak shaving scheme can be obtained, thus reducing the total payment cost of the system and improving the absorptive capacity of new energy sources. Advantages: 1. It can form complementary advantages with traditional thermal power peak shaving, obviously enhance the peak shaving capacity of local power grid, and improve the consumption level of new energy; 2. Adding the necessary constraint conditions to the load control, which improves the accuracy of the calculation results; 3. Considering the cost of discarding wind and light and the peak shaving of tie linecaused by the uncertainty of new energy output, which is more in line with the actual situation of power system operation, it has a good guiding significance for the new energy with high energy consumption load to enter the peak shaving area, and has a good popularization value and application prospect.

The invention discloses an optimal scheduling model of a micro-energy grid with multi-energy storage under multi-time scales, which relates to the field of energy internet optimization operation. Themicro-energy network comprises three energy forms of electricity, heat and gas, including P2G equipment, a heat and power co-generation micro-combustion engine, an electric boiler, a gas boiler, an accumulator, a heat storage tank and a gas storage tank. The multi-time scale considers two time scales, one hour before the day and 15 minutes within the day. The process of establishing the optimal scheduling model of the micro-energy grid comprises the following steps: 1, determining the component parameters and the network parameters of the micro-energy network; 2, establishing an hour-level optimized dispatch model before that day of the micro-energy grid; 3, establishing a micro-energy grid intra-day 15-minute level optimal scheduling model. The invention effectively deals with the power fluctuation of the renewable energy and the load prediction error on the premise of ensuring the daily operation energy balance of each energy storage device, and improves the absorbing capacity of themicro-energy grid to the wind power and the photovoltaic.

The invention discloses a hybrid energy storage configuration method for a distribution network in a high-proportion uncertain power supply scene, which comprises the following steps: establishing a typical power generation model for distributed renewable energy; establishing an energy storage upper-layer optimization model and an energy storage underlayer optimization model; jointing the energy storage upper-layer optimization model and the energy storage underlayer optimization model and solving to obtain a final distribution network hybrid energy storage configuration result. The hybrid energy storage configuration method for the distribution network in the high-proportion uncertain power supply scene in the invention not only establishes an economic evaluation model from the perspectives of social benefits, investor benefits, and network loss reduction in detail, but also studies locating and sizing, and economic operation of hybrid energy storage to apex cutting and vale filling of the medium-voltage and high-voltage distribution network system, and proposes a power-type energy storage and energy-type energy storage coordinated control method, so as to better achieve apex cutting and vale filling of the system and enhance the uncertain power absorptive ability of the system.

The invention provides a dynamic optimization scheduling method for the active power distribution network. The method comprises steps of firstly, constructing an active and reactive coordination scheduling model of the active distribution network; secondly, refining the time scale on the basis of the active and reactive coordination scheduling model of the active power distribution network in thefirst step, setting the time interval to be 15 minutes, and solving an output plan in the scheduling period of the next four hours; and finally, establishing an ultra-short-term prediction model of renewable energy and load and an output prediction model of the controllable distributed power supply by taking the output plan as a reference value, performing adjusting by using multi-step dynamic rolling in a limited time domain at a time interval of 5 minutes, setting the rolling duration to be 15 minutes, and realizing closed-loop control through a feedback correction link.

The invention relates to a multi-energy complementary coordinated power generation scheduling method based on a wind-light-water-fire storage combined system, which is characterized by comprising thefollowing steps of firstly, simulating a time sequence for producing the wind power/photovoltaic output by utilizing an improved Markov chain method; secondly, determining load requirements, minimum economic output of a thermal power generating unit and boundary conditions of forced output of a hydraulic power plant, and calculating a renewable energy power generation operation feasible region; then, preferentially arranging wind power and photovoltaic power generation in the renewable energy power generation operation feasible region, and formulating a water and electricity dispatching strategy on the basis of the wind power and photovoltaic power generation; and finally, comprehensively considering the operation cost of the thermal power generating unit and the energy storage operation cost considering life loss; formulating a thermal power generating unit and energy storage combined dispatching strategy with the minimum total operation cost of the thermal power generating unit and energy storage in the dispatching period as the target, solving a corresponding optimization objective function through a particle swarm algorithm, and then obtaining the wind-light-water-heat-storagecombined system dispatching strategy. The method has the advantages of scientificity, reasonableness, simplicity, applicability and the like.