96 results about "Electrovalency" patented technology

The invention belongs to the technical field of microgrid optimization operation and discloses a method for photovoltaic microgrid energy storage multi-target capacity configuration by taking demand response into consideration. The method includes constructing a user multi-period electricity price response model based on price elasticity matrix of demand, providing an energy storage charge and discharge strategy and a photovoltaic microgrid optimization operation strategy under time-of-use electricity price, and conducting optimized configuration of photovoltaic microgrid energy storage capacity by using a modified non-dominated sorting genetic algorithm (NSGA-II) according to system scheduling and constraint conditions with the maximal photovoltaic absorption and maximal net profit as two goals. The influence of load optimization caused by user side participating demand responses on photovoltaic microgrid energy storage capacity configuration under power market environment is taken into consideration, rationality of photovoltaic microgrid energy storage investment is achieved while satisfying the requirement of a system.

The invention discloses an intelligent electric meter system for residents for an intelligent smart grid. According to the intelligent electric meter system for the residents for the intelligent smart grid, one intelligent electric meter is arranged in home of each resident, two control terminals are respectively arranged on each controlled electric appliance and each user switch, and each distributed power supply is provided with a distributed power supply access device; each control terminal and the distributed power supply access device are interconnected through a PLC (Programmable Logic Computer) communication network, and the intelligent electric meter and a high-class measuring system AMI (Advanced Metering Infrastructure) carry out information interaction. The intelligent electric meter system is suitable for the residents having tiered pricing for electricity and time-sharing pricing for electricity, and aims at minimum electric charge expenditure of users, and is used for intelligently controlling the electric appliances and the distributed power supplies of the residents so as to realize peak clipping and valley filling of the electric charge, and provide power supply quality and power supply reliability.

The invention discloses a micro-grid operation optimization method based on a dynamic electricity price. The method is characterized in that fuzzification is carried out on a reference plan exchange power curve delivered by a power distribution network to a micro-grid and a plan exchange power curve of the micro-grid, the Euclid close degree of the two curves is calculated so that the electricity price can be dynamic, a target function taking the dynamic electricity price, operation maintenance cost and pollution discharge treatment cost into consideration is built, and a micro-grid economic optimization operation scheme is solved by means of a particle swarm optimization. Accordingly, the micro-grid can coordinate operation of the power distribution network in the operation optimization process, and influences of micro-grid connection on the power distribution network are reduced.

The invention discloses a user-side energy storage capacity allocation method based on a typical daily load curve of an enterprise user. A method for predict profit effect of energy storage configuration of enterprise user is provided according to typical daily load power curve of enterprise user, and a daily charging and discharging scheme of battery is propose according to the calculated economical optimal energy storage configuration. At first, the invention take the typical daily load curve of an enterprise user as a pre-criterion, and initially screen out a peak-valley difference user asa target user of energy storage configuration; Combined with the investment budget of enterprise users, peak and valley electricity price information, energy storage market price, physical constraintsof battery, traverse all possible energy storage configuration to obtain the economic optimal solution; Finally, based on the optimal solution, the battery charging and discharging strategy is formulated to realize the functions of demand management and peak clipping and valley filling by using the battery. The method can reasonably predict the optimal economic allocation of energy storage for enterprise users, so as to avoid blind investment in energy storage on the user side.

The invention relates to an intelligent household microgrid system based on a technology of internet of things. The intelligent household microgrid system includes an energy system and a control platform thereof. The energy system includes a photovoltaic cell, a chopper module, an energy storage device, a rectifying module and a PCC (point of common connection) switch. The control platform includes a CPU, a storage module, a ZigBee wireless networking device (full-function ZigBee (FFD) main coordinator, a local ZigBee universal remote controller, and a reduced-function (RFD) ZigBee terminal node) and a peripheral interface. The control platform of the intelligent household microgrid system also includes a cloud computation background service system in the broad sense. The intelligent household microgrid combines intelligent grid, microgrid and internet of things technologies and one of great characteristics of the intelligent household microgrid is that a ZigBee wireless technology is introduced to the household microgrid so that the system is capable of networking flexibly. The intelligent household microgrid system is combined with a peak-valley electrovalency system to realize functions such as reliable power supplying through combination of self generation and grid power, intelligent scheduling of distributed photovoltaic power generation, intelligent charging and discharging of the storage device under different states, power bidirectional flowing between the system and the grid, real-time visualization of electricity quantity information and automatic switching of grid connection and grid isolation and the like.

The invention relates to an optimal power flow node electrovalence calculation method considering an electric vehicle power controllable domain, and belongs to the field of an intelligent power grid. According to the method, an electric vehicle load space-time distribution simulated sampling method is built by considering an effect of mobile energy storage of an electric vehicle, charging urgency and discharging abundance indexes are built, the controllable ability of the electric vehicle is quantized and is sequenced, an upper limit and a lower limit of a space-time sequence power adjustable domain of each node are determined, a node electrovalence optimal power flow model considering space characteristics is further built, and the optimal space node electrovalence is obtained by solution. An electric vehicle user is guided to change a charge-discharge habit by real-time electrovalence, and the running cost is reduced.

The invention discloses an electric vehicle photovoltaic charging station optimization scheduling method considering a user behavior, that is, an electric vehicle supplies power to a power grid only when an electricity price is higher than the discharge loss of a vehicle-borne storage battery. Therefore, according to measured data, a B-spline curve is used to establish mathematical models of the influence of a discharge depth and an ambient temperature on the cycle life of a storage battery through the two steps of preliminary fitting and partial correction, the influences of a discharge depthfactor and a temperature factor on the cycle life of the storage battery are comprehensively considered, and the discharge loss corresponding to each discharge behavior of the vehicle-borne battery is obtained. On the basis, with the output of an energy storage system and the interaction power with a large power grid as the optimization variables, with minimum operating cost of the system as an optimization goal, the day-to-day optimal scheduling model of the system is established, and the model is solved by using an adaptive genetic optimization algorithm. The invention has a certain significance for extending the service life of the electric vehicle storage battery and promoting the development of renewable energy.

The invention discloses a distributed optimization tide method of a radial power distribution network. The method comprises the steps of connecting a photovoltaic power generation and battery energy storage device into a power distribution network in a distributed manner, constructing an optimization tide model of the power distribution network, splitting an original problem of optimization tide of the power distribution network into several subproblems by constructing an augmented Lagrangian function, solving the original problem by asynchronous iteration among the subproblems, breaking the optimization tide model into an upper layer and a lower layer, and performing distributed solving on the optimization tide problem by an alternate direction multiplier algorithm to obtain final optimaloutput and node electrovalency of distributed units. The distributed method can be realized only by exchange of upper and lower limited boundary information; and node shadow price related to internalconstraint of the power distribution network and root node electrovalency of the power distribution network are mutually independent, so that the method can serve as a coordination strategy of a power distribution system operator to a polymer in a power market environment.

The invention discloses a method for dispatching multi-time-scale energy of micro power grids on the basis of real-time electricity price mechanisms. The method for dispatching the multi-time-scale energy of the micro power grids on the basis of the real-time electricity price mechanisms includes day-ahead dispatching time scales and intra-day dispatching time scales. Priority dispatching strategies are connected with the day-ahead dispatching time scales and the intra-day dispatching time scales, and robust optimization problems can be solved for multiple time scales of the micro power gridsby particle swarm optimization algorithms. The method has the advantages that requirements of the real-time electricity price mechanisms can be met, the method is applicable to peak and valley time-of-use electricity price systems and includes concise steps, real-time and definite dispatching priority can be provided for various distributed power sources in the micro power grids in each dispatching time frame, renewable energy can be sufficiently utilized, wind and light abandoning can be reduced, and the load power supply reliability can be improved; dispatching strategies on the basis of real-time electricity price information and multi-time-scale theories are combined with one another, accordingly, intra-day dispatching guiding effects of day-ahead dispatching can be enhanced, coordination and matching of dispatching of two time scales can be promoted, and burden due to short-time-scale dispatching can be relieved.

Disclosed is a thermoelectric heat pump phase change heat storage heating method and a device. When in energized heat storage during the trough electrovalency phase, the thermoelectric chip set is connected with one end of the phase change heat storage materials as the fire end, and the heat energy generated is transferred to the phase change heat storage materials for storage, while the other end of the thermoelectric chip set becomes the cool end and adsorbs the waste heat from the surrounding air. When in heat emission heating, there is provided with two working modes, the first working mode is an energy saving mode, wherein the surrounding air directly exchange the heat with the regenerative phase change heat storage materials to realize the heat release warm; when the first working mode can not satisfy the warm request, the current direction of the thermoelectric chip set is changed, to make the cold and heat end faces changed; one end of the thermoelectric chip set connected with the phase change heat storage materials becomes the cold end, which adsorbs the heat energy of the phase change heat storage materials, and the heat of the other end of the thermoelectric chip set is released for the warm.

The invention discloses a power grid subarea division method based on dynamic electricity prices. The method comprises the steps of: obtaining load data of certain time dimensions; calculating a power transmission and distribution factor matrix; using an optical trend model with the target of the lowest power purchase cost of a power grid company to calculate a marginal price of each node in a power grid in each time intervals; setting an expected subarea number, and carrying out initialization to ensure each subarea to be empty; improving a K-means clustering algorithm, and considering adjacency relations of nodes in the subarea division process; utilizing the improved K-means clustering algorithm to carrying out subarea division on the power grid based on the dynamic marginal price of each node; carrying out deviation analysis on a subarea division result, if the largest relative deviation is smaller than a set limit value, indicating that the subarea division is completed, and otherwise, changing the subarea number and carrying out subarea division again; and obtaining the nodes and the regional electricity price of each subarea. The subarea division obtained by the method ensures that nodes in the area are mutually connected and the electricity price loss of the nodes is in an allowable range, so that a market participant can conveniently carry out settling.

The invention discloses an operation simulation method for a new energy power system with energy storage. Firstly, a thermal power electric quantity cost model, a wind power electric quantity cost model and an energy storage cost model in the whole life cycle are constructed, the credible capacity after energy storage is accessed is calculated and is combined with an electricity price model, and an income model of a new energy system containing energy storage in the whole life cycle is constructed; and secondly, the characteristic of stabilizing new energy power fluctuation of energy storage is considered, and an electric power system operation simulation model containing the energy storage new energy is builton the basis of the characteristic; according to the model, the maximum income ofthe new energy system containing energy storage is used as an objective function I, the quadratic sum of new energy electric field output change values between adjacent time periods of the new energyelectric field is used as a target function II, system power balance, unit maximum and minimum output, thermal power unit climbing, energy storage power station charging and discharging power, energystorage power station capacity and reliability are taken as constraint conditions, and finally a power system operation simulation model containing energy storage new energy based on a particle swarmalgorithm is solved to obtain various energy operation simulation results.

The invention discloses a corridor energy-saving illumination system based on step tariff, and belongs to the technical field of an energy-saving illumination system. The energy-saving illumination system comprises a human body detection module, an optical detection module, a step tariff storage module, an electric quantity monitoring module, a storage battery, a control module, an illumination module, an energy-saving alternating current contactor and a mains supply supplying module, wherein the human body detection module, the step tariff storage module, the electric quantity monitoring module and the optical detection module are connected with the control module separately; the control module, the illumination module, the energy-saving alternating current contactor and the mains supply supplying module are connected in sequence; and the control module, the mains supply supplying module, the storage battery and the illumination module are connected in sequence. The corridor energy-saving illumination system is simple in structure, high in automatic degree, sensitive in response, energy-saving and intelligent, and easy to realize.

The invention discloses a power optimization scheduling-based microgrid energy storage system state consistency control method, which belongs to the technical field of control of the microgrid energystorage system. The method adopts time-of-use price, new energy prediction output and energy storage unit battery pack state of energy SOE to determine an energy storage unit operation strategy on thebasis of considering energy storage charge and discharge efficiency and ensuring system active power balance, and considers an energy storage unit battery pack state of energy SOE imbalance problem and time-varying energy storage unit power charge and discharge bearing capability SOP, and a microgrid energy storage system power balance model is built; and besides, through a consistency protocol,energy storage units SOH and SOE are ensured to be consistent, the application performance of the energy storage unit in the energy storage system is improved, the overall charge and discharge times of the energy storage system is effectively reduced, and the service life is improved.

The invention discloses a control system for power supply guaranteeing and power-fare optimization of a communication base station and a method. The control system comprises a new-energy power supplyunit, a rectifier module, an energy storage unit, a base station load, a direct-current load, a bidirectional watt hour meter, an air conditioner, an intelligent power distribution unit, a central control unit and a direct-current bus; the energy storage effect of the energy storage unit is used in cooperation with electrovalence sections of different time periods, power energy generated by the new-energy power supply unit is subjected to time shifting, the air conditioner serves as a shifting load and is controlled, power is supplied only through city power in the electrovalence low-ebb timeperiod, the generated power energy is fed back to a power network when being over than the load requirement, and the power fare and the operating cost of the communication base station are saved. According to the control system for power supply guaranteeing and power-fare optimization of the communication base station and the method, from the points of saving energy, improving efficiency and reducing the enterprise operation cost of the mobile communication base station with the innovative technology, according to the specific condition of the comprehensive cost actually occurring in the operation maintenance process of the base station, and through roof resources of an existing iron-tower base station, a power supply project combined with the communication base station and new energy anda control method are provided so that the operating maintenance cost of the communication base station can be reduced, the comprehensive income can be improved, and low-cost and stable operating of the communication base station can be better guaranteed.

The invention relates to a micro-energy network multi-time scale optimization control method based on double-layer model predictive control. A micro-energy network is coupled with three energy sources of electricity, heat and gas, and electricity-to-gas and battery-supercapacitor hybrid energy storage equipment is integrated into the micro-energy net. The invention provides a multi-time scale optimization control method based on double-layer model predictive control aiming at the problem of low reliability of an optimization control result of a micro-energy network system caused by uncertain factors such as wind and light output and load demand, and the multi-time scale optimization control method comprises an upper layer of long-time scale rolling optimization and a lower layer of short-time scale real-time rolling adjustment. The upper layer makes a long-time scale scheduling plan through multi-step rolling solution by taking system operation economy optimization as a target and combining time-of-use electricity price and natural gas price; and the lower layer aims at tracking the upper layer scheduling plan, and a super capacitor is introduced to cope with short-time scale power fluctuation of wind, light and load. According to the method, economical and safe operation of the micro-energy network can be realized on the premise of ensuring the wind and light absorption capability of the micro-energy network.

The invention discloses a power consumer carbon emission cost sharing method based on carbon emission power price, and solves the problem that the carbon emission cost of the power industry is on the power generation side and cannot be conducted to the power consumer side so that the user cannot be promoted to participate in energy conservation and emission reduction. The function relationship between the load of the power consumer and the system carbon emission is determined by using a power flow tracing technology in the method. The marginal carbon emission of the system caused by the load of the user and the corresponding marginal carbon emission cost are determined by using the optimal power flow model, and the cost is reflected in the power price of the user. According to the method, the user is enabled to know the influence of his power consumption on the carbon emission of the power system through the means of power price so that the user is promoted to transfer his power load to the moment of high output of wind power, photovoltaic and other clean power supplies so as to objectively realize the effect of reducing the carbon emission of the power system. Meanwhile, a scientific and reasonable cost mechanism is established by the method, and the problem of sharing of the cost related to the carbon emission is solved.

The invention relates to a real-time management control method of energy of a microgrid. The method comprises following steps of acquiring current time, and judging which time period the current time belongs to; according to the time period that the current time belongs to, carrying out control parameter initialization; judging the operation mode of the microgrid, and when the operation mode is a grid-connected operation mode, executing the grid-connected operation procedure of the microgrid; when the operation mode is an off-grid operation mode, executing an off-grid operation procedure of the microgrid; when the operation mode is a switching mode from the grid-connected mode to the off-grid mode, executing the switching procedure from the grid-connected mode to the off-grid mode of the microgrid; and when the operation mode is a switching mode from the off-grid mode to the grid-connected mode, executing the switching procedure from the off-grid mode to the grid-connected mode of the microgrid. According to the invention, based on the real-time scheduling technology of the energy of the microgrid with multiple constraint targets like the power grid, the power generation, the load, the energy storage and the electric price, power balancing technology and seamless switching under the grid-connected mode, the off-grid mode, and the grid-connected mode-to-the off-grid mode can be achieved.

The invention discloses a system and a method of charging step tariff applied to a power user end. Power utilization time and an electric meter code during the power utilization time of a power user are acquired; account cancellation information and a meter reading frequency of the user are recorded, the actual power utilization month number is calculated according to the account cancellation information and the meter reading frequency, and a step electric quantity is further calculated; an annual step electric quantity and a step electric price of the user are determined; the cumulative power utilization quantity last month, power utilization quantity in the current month of the user and the annual step electric quantity by a step electric quantity charging unit are determined, the falling step for the electric quantity which needs to be charged to the user is determined; and according to the step for the electric quantity which needs to be charged to the user, the electric price of the step electric quantity charging unit is called, and the current electric fee in the current month by the user is calculated and displayed. By only acquiring the initial code and the stop code of the electric meter, which step period the current user is in can be known, the electric price of each step can be clearly known, how much electric quantity can be used for each step can be known, and the power utilization condition of the user can be mastered by the user.

The invention provides a lowest equivalent electrovalence-of-system-based microgrid system design scheme and a test platform. Each subsystem of a microgrid system at least comprises a wind generator set, a photovoltaic set, an energy storage device, a water turbine set, a diesel engine set or a gas engine set. The structure of the microgrid system is determined through analyzing different load characteristics, natural resources and power supply types of the subsystems of the microgrid system; electric cost models of the subsystems of a microgrid are established; change parameters such as the investment cost of microgrid construction, the equivalent cost of power generation and load power demand increases are comprehensively considered to carry out distributed generation power supply selection and capacity configuration; and the microgrid system is established employing the lowest equivalent electrovalence of the system as the target, so that the microgrid system design scheme meeting the economic requirements is rapidly obtained; and the microgrid system test platform is formed by adopting an MVC mode.

The invention discloses a device and a method for dynamic authorized electricity price metering and intelligent electricity utilization regulation and control of an internet of things. The method comprises the following steps of: dynamically determining dynamic authorized electricity prices according to power generation and power consumption at different time intervals, and then sending the dynamic authorized electricity prices to a user at a power utilization side through the ubiquitous power internet of things. The device and the method can perform dynamic authorized electricity price metering and charging, achieve the dispatching control of the load of the electricity utilization side, solve the problem of bidirectional interactive communication between the power grid and the user, andsimultaneously achieve the network safety isolation and avoid network attack.

The invention discloses a method for determining optimal trading capacity between large regional grids. The method comprises the steps of firstly, checking the safety of an ultrahigh voltage tie line in a large regional grid and grid ultrahigh voltage tie line synthesizing model, and selecting the minimum of maximum transmission capacities of the tie line under different constraints as a transmission capacity limit of the tie line under a safe constraint; secondly, concluding an economic indicator in an interregional power trading, and establishing a synthetic economic indicator of large regional grid absorption external power; and finally, establishing a proper neighborhood based on optimal tidal current distribution according to the tidal current of a single-target optimization system and the transmission capacity limit of the tie line, and solving a synthetic economic indicator extreme value in the distribution domain, wherein the tie line transmission capacity corresponding to the extreme value is the desired optimal trading capacity. According to the method, the optimal trading capacity between large regional grids at any time period can be analyzed only by updating the large regional grid as well as a transmission channel integrating model and a real-time power price parameter thereof, so as to provide a reference for trading planning and economic scheduling.

The invention discloses a method and a device for calculating the electric charge amount based on the peak and valley electric price, which comprises the following steps: obtaining the unit time electric consumption of a single room of a suite and the electric consumption time period corresponding to the unit time electric consumption; determining a current peak and valley power price of a power consumption time period corresponding to the power consumption per unit time; calculating an electricity tariff amount of the power consumption per unit time according to the current peak and valley electricity price. Based on the method and the device, the power consumption and the electric charge amount of each room of a suite can be separately measured.

The invention belongs to the technical field of the energy conservation of the communication system, and especially relates to an energy consumption preferential energy cost minimized base station dormancy method. The method comprises the following steps: establishing a multi-base station cooperative system comprising a power grid, renewable energy and an energy storage device, wherein the multi-base station cooperative system is capable of selecting an energy source for supplying electric energy; establishing a base station dormancy mechanism by taking the minimum power consumption as a target, and establishing a base station power consumption model; selecting a base station group corresponding to the minimum energy consumption as a time slot activation base station according to a target function, thereby enabling a redundant base station to enter a dormancy state; preferentially selecting the low price energy to supply energy for the selected activation base station, and minimizing the base station system energy cost. By use of a time-of-use electricity price strategy, the renewable energy and the non-renewable energy are combined to perform mixed energy supply for the base station system, a mechanism for recycling remaining renewable energy of the power grid is considered, the environment pollution is reduced, a corresponding energy storage device is arranged, the communication system reliability is improved, the energy cost is stabilized, and the self-discharging phenomenon is considered.

The invention relates to an energy storage control method based on a two-part electricity price system. The unbalanced power is decomposed into high-frequency and low-frequency components by using a global mean empirical mode decomposition method to be suppressed by a supercapacitor and a storage battery. The unbalanced power is decomposed into a series of intrinsic mode functions by the ensembleempirical mode decomposition (EEMD), the mode aliasing effect of traditional empirical mode decomposition (EMD) is effectively avoided, and the accuracy of instantaneous frequency is improved, and theimperialist competition algorithm is applied to optimize the energy storage capacity by aiming at demand yield and mixed storage full life cycle cost. The method has a unique mixed energy storage capacity allocation model based on the large-scale industrial electricity price, fully considers the two-part electricity price composed of the basic electricity price, the electricity degree electricityprice and the power factor adjustment electricity price, fully considers the charging rules of the maximum demand and the transformer capacity selection, and considers the peak-to-average ratio of the power load and thus the optimization result is enabled to be more reasonable.

The invention discloses an energy conservation monitoring system of electric equipment. A local processing system comprises a power consumption measurement module, a real-time state acquisition module, an information storage and processing module, a safety verification module, a control module, a receiving module and a local communication module, wherein the real-time state acquisition module is connected with the information storage module; the receiving module receives tiered electricity pricing information from a remote power supply system and transfers the tiered electricity pricing information to the control module; an energy storage system performs power storage during the time period of low electricity price, the energy storage system finds out the time value of the high electricity price time period by looking up a power usage state table of the previous day, and the energy storage system supplies power to the electric equipment at the time value of the day; and the energy conservation monitoring system calculates the rated value of the total daily electricity consumption of the electric equipment in a preset mode, when the total electricity consumption of the electric equipment exceeds the rated value, the energy conservation monitoring system sends alarm information to users, and the users can shut down the electric equipment in an additional function state to achieve the purpose of saving the power consumption.

The invention discloses an energy scheduling method by which new energy can be efficiently used and a heterogeneous node device for assisting in realizing the method. A load is scheduled under a condition of a low load according to a characteristic that the load on a server is not uniform within 24 hours a day; a requirement for energy consumption within the low-load time period is reduced, so that the demand for the energy consumption of the whole system within the day is reduced. The load scheduling relates to a load distribution strategy between heterogeneous nodes; furthermore, finite new energy collected by ways of wind energy, solar energy and the like can be used in the most efficient manner. Two utilization points of the new energy are provided; firstly, in a high-load time period, a demand for conventional electric energy when the highest load reaches a peak value is reduced, and a peak clipping effect is achieved; secondly, the solar energy is used as much as possible within the time period of high electric charge in a day, namely the use value of the solar energy is increased according to peak-valley time-of-use tariff, so that the energy consumption and the electric charge of the server are reduced for a service provider.

The invention discloses an active power distribution method for a centralized control terminal of a photovoltaic power station according to high electrovalence priority. The method comprises the steps as follows: firstly, an active power distribution module of the centralized control terminal and a probe timer are arranged and run on a prime mover at the centralized control terminal of the photovoltaic power station; the active power distribution module of the centralized control terminal distributes total active power of the centralized control terminal on the basis of a high-electrovalence power station priority distribution principle according to the collected dispatching total active instruction and actually issued values of active power of power stations, and generates an active power distribution result of distributing the total active power of the centralized control terminal to the power stations in real time by a method of combining detection and distribution according to the margin; and finally, the active power distribution module of the centralized control terminal issues the active power distribution result to front-end processor AGC modules of the power stations for execution through a communication module on the prime mover. Maximization of total power generation benefits of different electrovalences of different power stations under the centralized control terminal of the photovoltaic power station is achieved; the power generation requirements of the power station with high electrovalence are met in priority; and the economic benefits are greatly improved.

The invention discloses a multi-park microgrid cooperative game method considering wind power robustness uncertainty. The economy of a micro-grid in a park in the region is taken as an optimization target, the internal power balance of the park microgrid, the electric quantity balance between park microgrids, the electric quantity purchase and sale settlement limitation, gas turbines, flexible loads and other adjustable resource adjustment limitation are taken as constraint conditions; the method comprises the following steps: modeling park microgrid electricity purchasing and selling costs, benefits and park microgrid inner-layer electricity selling prices, and achieving the quantification of the economical performance of the park microgrid. According to the method, the model is divided into a main problem and a sub-problem through a decomposition algorithm to carry out repeated iterative solution, so that the solution speed can be accelerated, and an existing solution kit CPLEX is adopted to carry out effective solution.

The invention discloses an electric car peak load shaving capacity estimation method based on energy balance. The method considers the influence of a time-of-use electricity price on EV vehicle ownercharge, the vehicle owner takes the minimum of the charge-discharge algebra cost as a target for charge-discharge strategy optimization, an EV charge-discharge scheduling scheme of a distribution system takes stabilization of a load curve as a target to employ a dynamic plan method to perform EV charge-discharge power dispatching to achieve load peak load shaving. The method can be used for assessment of the EV peak load shaving capacity in the distribution system. The EV charge energy is estimated by employing the EV travel distances; in the electricity market environment of the time-sharingelectricity price, the electric car owner takes the minimum of the charge-discharge algebra cost as a target to determine the duration of charge and discharge in each electricity price stages; and theelectric car peak load shaving capacity estimation method can dispatch the electric car charge-discharge power to have a peak load shaving effect.