The invention relates to a data-driven method for evaluating the maximum capacity of a distributed power supply of an active power distribution network. The method belongs to the field of power system evaluation and planning. The method comprises: based on known statistical moment information, a probability distribution set of uncertainties is constructed; a data-driven distributed power supply capacity evaluation model is established, wherein an objective function of maximizing the total distributed power supply installed capacity in an active power distribution network is constructed and distributed robust joint opportunity constraints which satisfy various technical constraints of a power grid and describe safe operation are constructed; the above constraints are transformed into a bilinear matrix inequality by equivalent deformation and dualization; the transformed model is solved by a sequential convex optimization algorithm, and finally the maximum distributed power supply capacity allowed by the active power distribution network for access is obtained and a distributed power supply address selecting and capacity determining scheme is obtained. The method avoids probability distribution requirements on uncertainties, fully utilizes statistical moment information, and has high practicality.

Data-driven method for evaluating maximum capacity of distributed power supply of active power distribution network

The invention relates to a fully-distributed autonomic voltage control method for an active distribution network, and belongs to the technical field of operation and control of power systems The method includes two stages, wherein the first stage includes the steps of building a voltage control convex relaxation model; dividing a feeder into a plurality of control areas, wherein one control area can be composed of one or a plurality of buses, generators and reactive compensation devices, and the generators and the reactive compensation devices are hung on the buses; locally communicating with a neighbor through each control area; solving the optimal local control quantity of global voltage distribution by the alternating direction method of multipliers; the second stage includes the step of adjusting the voltage amplitude of a feeder root node through the substation side so as to maximize the safety margin of voltage amplitude distribution; the two stages are performed by an iteration manner until no new optimal operation appears The method is applicable to large-mass distributed power connected distribution network voltage control; the data privacy of the control area can be protected well; the method is high in sensitivity and flexibility

Fully-distributed autonomic voltage control method for active distribution network

The invention relates to a method for estimating a steady-state operating state of a heat supply network based on a bilateral equivalent model, and belongs to the field of operation and control technologies of a comprehensive energy system. The method comprises the steps of building a heat supply network bilateral equivalent model, performing state estimation on the steady-state operating heat supply network based on the heat supply bilateral equivalent model, building an objective function for state estimation, building constraint conditions for steady-state operations of the heat supply network, performing state estimation calculation by using a Lagrange multiplier method and a Newton-Raphson method and carrying out convergence judgment on a state estimation result. The method simultaneously takes a supply water network and a return water network into consideration and considers the heat transfer process, thereby being capable of well solving a problem of steady-state state estimation for the heat supply network, complementing the measurement under the condition of incomplete measurement configuration, and identifying bad data if there is bad data.

Method for estimating steady-state operating state of heat supply network based on bilateral equivalent model

The invention proposes a distributed Newton method based primary frequency modulation control method of a microgrid, and belongs to the technical field of running and control of a power system. The method comprises the following steps of building respective power generation cost function and power generation cost tiny-increasing rate function of each distributed power generation unit; setting an active power output restriction constraint of the distributed power generation unit; exchanging power generation cost tiny-increasing rate information of adjacent distributed power supplies; carrying out Newton iteration by an outer ring iteration method so that power generation cost tiny-increasing rate of power balance and minimum power generation can be figured out, wherein in each iteration step, each distributed power generation unit is used for calculating a Newton direction approximate to the step according to inner ring recurrence and information exchange between adjacent units, so that necessary information is provided for outer ring iteration. According to the method, second-order convergence of the distributed Newton method is fully utilized, primary frequency modulation of the microgrid is rapidly achieved, and the frequency is stabilized; and meanwhile, the minimum power generation cost of the microgrid can be achieved, and the maximum renewable energy utilization rate can be achieved.

Distributed Newton method based primary frequency modulation control method of microgrid

The invention provides a frequency modulation method and a frequency modulation system of an isolated island virtual synchronous micro-grid as well as a storage medium. The method comprises the step of performing frequency modulation on inverters in the micro-grid by a circulating mode until each inverter reaches the rated frequency, wherein each circulating process comprises the following steps:S101, determining one inverter, which has relatively most active power output in the micro-grid, as a reference unit by a differential delay method, and taking a local output factor of the reference unit as the maximal output factor in the circulating process and transmitting the factor to other inverters in the micro-grid; S102, determining the active power adjusting quantity of the inverter; andS103, performing frequency modulation on the inverter according to the active power adjusting quantity. Frequency adjustment and active power proportion equipartition are realized on the premise of reducing the communication complexity degree as much as possible.

Frequency modulation method and system of isolated island virtual synchronous micro-grid as well as storage medium

The invention provides a micro-grid frequency control method with the lowest power generation cost, and belongs to the technical field of electric system operation and control. The method comprises the steps that a respective power generation cost function and a power generation cost micro increasing rate function are established; active power output limit constraints of distributed power supplies and energy constraints of energy storage devices are set; and the synchronization speed regulator of a power generator and the controller of an inverter are regulated to perform primary frequency modulation, secondary frequency modulation is performed after a time interval, system frequency is acquired and active power set value total regulating amount of each time of secondary frequency modulation is calculated, the active power set value total regulating amount is allocated for all the distributed power supplies or the energy storage devices participating in frequency modulation, the active power set value regulating amount and the original set values are summated to act as a new active power set value, then one time of frequency modulation is performed again and stable system frequency can be maintained. Utilization rate of renewable energy is enabled to be the maximum by the method, and consumption capacity of micro-grid renewable energy can be enhanced. Besides, realization is convenient and control is easy.

Micro-grid frequency modulation control method with lowest power generation cost

The invention relates to a method for controlling branch power congestion of an active power distribution network in real time, and belongs to the technical field of power system operation and control. The method comprises the steps that a three-phase node branch incidence matrix, a three-phase starting end node branch incidence matrix and a three-phase tail end node branch incidence matrix of the active power distribution network are established, an objective function for real-time control over the branch power congestion of the active power distribution network is also established, and a three-phase branch trend equation for reflecting operation of the radiating active power distribution network is further established; then the operation characteristic constrain of the three-phase active power distribution network and all the equipment in the network are comprehensively considered to conduct equivalent deformation on an original problem, a non-linear programming method is used for solving the control value of the active power of a distributed power source and the control value of the active power of a controllable active load, and real-time control over the branch power congestion of the active power distribution network is achieved. The method for controlling the branch power congestion of the active power distribution network highly accords with the characteristics of operation of the active power distribution network, and is small in calculated amount, capable of simply and conveniently achieving network modeling and analyzing of the active power distribution network, and more powerful in capacity for real-time controlling over branch power.

Method for controlling branch power congestion of active power distribution network in real time

The invention relates to a power distribution network state estimation method based on the maximum likelihood estimation theory, belonging to the power system scheduling automation and power grid simulation technology field. The method of the invention comprises steps of assuming that the power pseudo measurement of the power distribution network load is obtained through a method, obtaining a pseudo measurement error group through the power distribution network load true value, generating a distribution model of the pseudo measurement error by adopting a kernel density estimation method and establishing a state estimation model considering the load pseudo measurement through the maximum likelihood estimation theory. The invention has a good fitting distribution effect. If only the probability of the data sample is existence and continuous, the invention can fit any distribution form of the data without any transcendental probability distribution assumption. As a result, the invention can solve the difficulty that the load capacity pseudo measurement of the power distribution network cannot comply with the normal distribution, further proposes the maximum likelihood estimation of the new probability density function, and improves the accuracy of estimation result of the power distribution network.

Power distribution network state estimation method based on maximum likelihood estimation theory

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Micro-grid frequency modulation control method with lowest power generation cost

Method for controlling branch power congestion of active power distribution network in real time

Power distribution network state estimation method based on maximum likelihood estimation theory