96results about How to "Play the role of cutting peaks and filling valleys" patented technology

The invention relates to an intelligent home system accessing to an intelligent power gird and new energy and an energy efficiency managing method. The system comprises a bus and an intelligent interaction terminal, wherein the bus is provided with an electric supply input end and a new energy input end, the electric supply input end is serially connected with an electric supply accessing switch and an intelligent electricity meter, the input end of the intelligent electricity meter is accessed to an optical cable compound cable and the output end is connected to the bus through the electric supply accessing switch; the new energy input end is connected with corresponding new energy equipment through the corresponding new energy accessing switch; the intelligent interaction terminal comprises a microprocessor and a peripheral interface circuit thereof, the intelligent interaction terminal is connected with the new energy equipment through an RS485 interface and an acquisition device used for acquiring information of the intelligent electricity meter; and the intelligent interaction terminal is in wireless communication connection with the electric supply accessing switch and the intelligent home equipment through wireless radio interfaces, wherein the electric supply accessing switch is provided with a corresponding wireless interface. The intelligent home system realizes dual-direction interaction of users and a power grid, can receive various kinds of information from the power grid and preferential measures in real time through the intelligent interaction terminal of the intelligent electricity meter, guides the users to optimize home electricity and saves cost.

The present invention relates to a minitype cooling-heating-power supply system, concretely is a minitype cooling-heating-power supply system which can fully use smoke residual heat and belongs to refrigeration and air conditioner technology field. In gas path system, a smoke-water heat exchanger connection electric valve and a butterfly valve are connected in parallel to a smoke exhaust pipe at the end of the gas engine generator unit; the gas engine generator unit and a smoke supplemental combustion type lithium bromide refrigerator are connected wit a ball valve group and to a gas pipe, a vacuum hot water boiler is connected to the gas pipe. In water path system, the gas engine generator unit is connected with a water-water heat exchanger by pipeline, and the water-water heat exchanger is connected to a smoke-water heat exchanger by pipeline; the smoke supplemental combustion type lithium bromide refrigerator, the vacuum hot water boiler and the air conditioner water supply pipe of the electrical refrigerator are connected in parallel. The present invention generates electricity by engine, makes the generated smoke residual heat has different operating modes in different seasons, improves the energy using efficiency, improves the electric power reliability, reduces energy consume, needs little investment, small space and has quick effect.

The invention discloses an opportunity constraint planning-based commercial park comprehensive energy system optimization scheduling method. The method comprises: firstly, constructing a commercial park comprehensive energy system model, and on the basis of modeling of energy conversion of all elements in a park, considering uncertainty of new energy output and load, and establishing a commercialpark energy optimization scheduling model based on opportunity constraint planning. The model aims at minimizing the operation cost. An improved immune genetic algorithm and a stochastic simulation hybrid algorithm are adopted for solving, quantitative indexes are established for accompanying unbalance risks in an opportunity constraint planning model, reference is expected to be provided for comprehensive energy system operation scheduling for balancing economy and reliability, and the method has important guiding significance for actual scheduling of the system.

The invention discloses a gravity compressed air energy storage system and a working method thereof, and belongs to the technical field of energy storage. The device comprises an air compression unit,an air expansion unit, an air storage chamber, a weight and a generator; the inlet of the air compression unit is connected with an air inlet device, the outlet of the air compression unit is connected with the inlet of the air storage chamber through an energy storage pipeline, the outlet of the air storage chamber is connected with the inlet of the air expansion unit through an energy release pipeline, and the outlet of the air expansion unit is connected with the generator; a heat exchange unit is arranged between the energy storage pipeline and the energy release pipeline; the weight is arranged on the upper part of the air storage chamber and forms a piston-cylinder system with the air storage chamber; and a sealing device is arranged between the weight and the air storage chamber. According to the invention, the compressed air energy storage mode and the gravity energy storage mode are combined, and the advantages of high density of compressed air energy storage and flexible arrangement of gravity energy storage are both achieved, so that the stability of a power grid can be guaranteed, and the functions of peak regulation, frequency modulation, peak clipping and valley filling can be achieved.

The invention discloses a service station general model-based electric vehicle battery charging / swapping network integrated scheduling method. The method comprises the following steps that: a general model of three types of service stations in a battery charging / swapping network is established so as to represent mutual effect and restriction relations between behaviors (battery charging, battery swapping and battery deployment) and states (the number of fully-charged battery packs and the number of exhausted battery packs) of the service stations; according to initial battery swapping requirements in each sampling period of the service stations, the actual number of swapped batteries of the service stations can be obtained through using queuing theory simulation, such that influences of the number of charging devices of the service stations, user average arrival rate and waiting queue length upper limit on the battery swapping capacity of the service stations can be fully calculated; an integrated scheduling model of actual battery charging / swapping network operation can be established, and charging schemes, deployment schemes and logistics schemes of the battery packs can be optimized, such that network operating cost can be lowest.

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 discloses an economic dispatching method of a distributed combined cooling, heating and power supply system considering multiple energy storage. Ground-source heat pump and cold, Heat and electricity energy storage are introduced into the dispatching of the cogeneration system, and a distributed combined cooling, heating and power system with photovoltaic, CCHP, ground source heat pump and various energy storage devices is established. The objective function is to minimize the total cost in the dispatching cycle. The model is modeled by yalmip and solved by cplex solver, so as toobtain the optimal output of each equipment. The invention can realize the coordinated dispatching and conversion among the three energies of cooling, heating and electricity in the CCHP type microgrid, reduces the adverse influence of the energy coupling action, enhances the flexible adjustment ability of the system, and has remarkable economic benefits.

The present invention discloses a microgrid electrical energy random matching transaction method. The method comprises the following steps: (1) a large power grid determining power purchase and sale prices in the next time period and the allowed maximum purchase and sales quantities of electricity for each microgrid, and delivering to each microgrid; (2) as market participants, a distributed power source, a power consumer and an electrical energy random prosumer of the microgrid separately reporting a price and a transaction volume to the microgrid in advance; (3) as a market operator, the microgrid formulating and calculating a market parameter, delivering to the distributed power source, the power consumer and the electrical energy random prosumer, and declaring the opening of a random matching transaction market; (4) the market participants separately determining the purchase and sale electrical quantity, autonomously selecting a suitable bidding strategy, and reporting to the market operator; (5) the market operator delivering a random matching transaction result to each market participant, and randomly matching closing of transaction markets; (6) the market participants receiving and obeying the random matching transaction result; (7) the market operator reporting a purchase power quantity and sale quantity required by the power grid, and starting real-time electrical energy transaction; and (8) ending the real-time transaction, performing error compensation settlement according to a difference with a random matching transaction volume, and performing a price subsidy to an actual power generation amount of the distributed power source.

The invention discloses a capacity optimization configuration method for an urban rail transit photovoltaic energy storage system. The method comprises the steps: formulating a time-sharing operationstrategy according to the operation characteristics that the morning and evening peak load capacities of urban rail transit are large to determine operation states of photovoltaic, energy storage andpower grid at different time periods; researching a typical daily load curve and a photovoltaic output curve to carry out output adaptability analysis, and establishing an optimization model taking voltage fluctuation and economy as target functions by integrating photovoltaic and energy storage time-sharing operation characteristics and output adaptability analysis; converting multiple targets into a single-target optimization function in a weight assignment mode; carrying out solving through a particle swarm optimization algorithm to obtain optimal configuration of the energy storage capacity of the system. The method facilitates energy conservation and emission reduction of the urban rail system and local photovoltaic absorption, meanwhile, reduces network voltage fluctuation to improvethe traction side electric energy quality; and time-sharing operation is achieved, photovoltaic peak clipping and valley filling and load peak clipping are conducted through energy storage, and the economical efficiency of the system can be improved.

The invention discloses a microgrid group containing a shared energy storage system and a day-ahead economic optimization scheduling method thereof. The method comprises the following steps: step 1, establishing an operation model of each part in the microgrid group containing the shared energy storage system; step 2, on the basis of the step 1, introducing system operation constraints by taking the lowest operation cost of the microgrid group system as a target, and establishing a day-ahead economic optimization scheduling model of the microgrid group; and step 3, obtaining an operation costcoefficient and an operation limit value of each device in the microgrid group, solving the day-ahead economic optimization scheduling model based on the step 1 and the step 2, and determining a day-ahead scheduling scheme of the microgrid group system. According to the method, a microgrid group system containing a shared energy storage system is considered, and each microgrid can realize bidirectional energy flow with the shared energy storage system through a tie line, so that energy storage and energy interaction among different microgrids are performed, consumption of renewable energy sources is effectively realized, peak clipping and valley filling effects are achieved, the energy utilization efficiency is improved, and the method is suitable for large-scale popularization and application. Power utilization cost is reduced.

The present invention discloses an electric vehicle charging system which comprises a power filling area, an energy storage area, a charging area and a management area. Compared with the prior art, according to the electric vehicle charging system, since the energy storage device of the energy storage area can store electrical energy of night trough and use the electrical energy for daytime electricity using peak, combined with the function of high rate rapid charging, the large energy supplement of an electric vehicle can be carried out in a short time and a grid is not affected. At the same time, the low price electrical energy in the trough is utilized effectively, the effect of peak load shifting is achieved, the system has double charging modes of energy storage area charging and grid online real-time charging, and the 24-hour charging of the charging system is ensured when the grid is limited or is repair and out.

The invention belongs to the technical field of energy storage, in particular to a control method of an intelligent energy storage system. The control method comprises the following steps that Step I, a battery management system obtains the current status information of a charger and a battery pack and uploads the information to a cloud server; Step II, an energy consumption monitoring device monitors electric power parameters of mains input and load output and uploads the electric power parameters to the cloud server; Step III, the cloud server stores the obtained various kinds of information, analyzes the information, finally feeds the analyzed result back to a main controller and displays the analyzed result on an operating display screen; and Step IV, working parameters are set, the main controller controls an inverter to work according to a set inverter mode and sends instructions to the battery management system according to set corresponding time, and the battery management system controls the charging and discharging of the battery pack. The control method of the intelligent energy storage system can cause users to reasonably utilize electric energy resource and plays roles of filling valley and modulating peak to a power grid.

The invention relates to the technical field of power supply systems, in particular to an electric energy router for the tail end of a power distribution network and a control method thereof. A bidirectional converter module is used for providing a power distribution network and an alternating-current load interface, realizing alternating-current and direct-current electric energy conversion and performing electric energy quality treatment on the power distribution network, and comprises reactive power compensation, harmonic wave compensation, negative-sequence current compensation and zero-sequence current compensation; a photovoltaic module is used for providing a photovoltaic cell interface and utilizing the electric energy generated by the photovoltaic cell to the maximum extent; an energy storage module is used for providing an energy storage battery interface to realize a peak clipping and valley filling function; and a charging pile module is used for providing a charging interface for the new energy automobile to realize a function of charging the new energy automobile. According to the invention, various forms of electric energy conversion can be realized, compared with the existing electric energy reason device, a high-frequency isolation transformer is not needed, the system volume is smaller, the mass is lighter, the efficiency is higher, and the structure is simpler.

The invention discloses a moveable charging method for orderly charging multiple static electric cars, which includes steps that a user sends a charging request; a main control system receives the charging request command and sequences the charging; the main control system sends an order charging command to a charging system; the charging system receives the charging command and then transmits toan automatic navigation car; the automatic navigation car is driven to an electric car to be charged and charges it. The invention further discloses a moveable charging system for orderly charging multiple static electric cars, which comprises the automatic navigation car, a moving positioning platform, a battery storage silo, a battery access machine arm, an alternating current power supply plug,a power supply switch, a charging machine arm, a charging plug, a main control unit, a communication unit, and a measuring unit. The moveable charging system and method have the beneficial effects ofgreatly reducing construction of charging piles, reducing impact on a power distribution network and saving huge reform cost of the power distribution network.

The invention relates to the technical field of optimal dispatching of a power system, in particular to a three-tier optimal dispatching method of an active distribution network based on energy storage time-sharing state decision-making. The method comprises the steps of comprehensively considering of a load and renewable energy power generation curve fluctuations, calculating a reference power value for the division of states of charge and discharge of energy storage, and then providing the division of time periods of charge and discharge of energy storage devices in each region; with the goal of minimizing the network loss, considering renewable energy, network security and regional tie line power constraints and combined with the time periods of charge and discharge of energy storage, calculating a backbone network dispatching plan and each regional tie line power; and with the goal of minimizing the generation cost, combined with the time periods of charge and discharge of energy storage and each regional tie line power and considering distributed power supply and network security constraints, performing the optimal dispatching of resources in the regions. The method of the invention can prolong the battery life, makes the strategy calculation simple and is highly practical.

The invention discloses a single-phase or three-phase AC-DC / DC-AC dual-purpose circuit. The circuit comprises a PFC converter module, an intermediate stage protection module, a non-isolated pressure-boosting / lowering module and an input / output protection module which are in sequential series connection; the PFC converter module comprises one or more first bridge arms, a second bridge arm, a filter capacitor and one or more energy-storage inductor; the first bridge arms, the second bridge arm and the filter capacitor are in parallel connection; each first bridge arm comprises two main switch tubes which are in series connection in the same direction, and the second bridge arm comprises two rectification tubes which are in series connection in the same direction; one end of the energy-storage inductor is connected with a series connection node of the two main switch tubes, the other end of the energy-storage inductor serves as a first alternating current port, and a series connection node of the two rectification tubes serves as a second alternating current port; two external connection ports of the input / output protection module serve as two direct current ports respectively. According to the circuit, a small number of elements are used, cost is low, conversion efficiency is high, power intensity is high, and the circuit is particularly applicable to the situation that the output voltage is wide in adjustment range.

An event-driven automatic demand response method considering uncertainty for a microgrid comprises the steps of discretizing continuous time; analyzing load demand response characteristic of a user-type microgrid, and building a system model; constructing a new real-time power price mechanism combining real-time electric price RTP and time-out-use power price IBR, and calculating to obtain power price of a current time frame k by the power price mechanism; judging whether each event is triggered or not by the system according to an automatic demand response (ADR) strategy of the even-driven mechanism, and performing on-line energy optimization on a terminal user in a RMG according to a preset priority handling event; transferring optimization time to a next moment after optimization is completed, and repeating the previous optimization steps until full-time optimization is completed. Power utilization behavior of an active load is effectively guided by economic excitation, an emergencysituation can be efficiently and timely handled, and the impact to the system caused by fluctuation new energy output also can be reduced by reasonably guiding the power utilization behavior of the active load.

The invention discloses a virtual power plant random adaptive robust optimization scheduling method considering a central air-conditioning system, which comprises the steps of determining a human bodycomfort range based on a predicted average voting number index, deducing a room temperature time-varying equation of a public building by a thermodynamic equation of the central air-conditioning system of the public building, and performing modeling analysis of the central air-conditioning system; constructing a virtual power plant (VPP) deterministic model by taking the maximum VPP profit as a target function according to the original data, and constructing constraint conditions; adopting a stochastic programming method to process market electricity price uncertainty, adopting a self-adaptive robust method to process photovoltaic output uncertainty, establishing a virtual power plant stochastic self-adaptive robust model, and adopting a standard scene algorithm to solve. According to themethod, the VPP can be flexibly dispatched according to the market electricity price, the profit of the VPP is improved, the problem of electricity utilization peak in the summer load peak period canbe relieved, and the effects of peak clipping and valley filling are achieved.

The invention relates to the technical field of intelligent home furnishing, in particular to an intelligent home furnishing management and control system based on an intelligent power grid and new energy sources. The intelligent home furnishing management and control system comprises a bus and an intelligent interaction terminal, wherein the bus is provided with an electric supply input end and a new energy source input end; the electric supply input end is connected with an electric supply switching-in switch and an intelligent electric meter in series; the input end of the intelligent electric meter is switched into an optical fiber compound cable, and the output end of the intelligent electric meter is connected to the bus by the electric supply switching-in switch; the new energy source input end is connected with corresponding new energy source equipment through a corresponding new energy source switching-in switch; the intelligent interaction terminal is connected with the new energy source equipment and an acquisition device for acquiring information of the intelligent electric meter by RS485 interfaces. According to the intelligent home furnishing system provided by the invention, the bidirectional interaction between a user and a power rid is realized; various information and preferential policies from the power grid can be received in real time through the intelligent interaction terminal of the intelligent electric meter, and the user is guided to optimize domestic power utilization, so that the cost is reduced.

The invention provides an energy storage type charging system. According to the energy storage type charging system, concentrated power supply is realized by a DC bus, the power of the DC bus is provided by an AC-DC module, the DC bus is in bridge connection with an energy storage unit, and one or multiple paths of input of a DC-DC charging module are from the DC bus. When the output power of the AC-DC module is not sufficient, the DC-DC charging module is supplied with power by the energy storage unit, so the peak load shifting effect is realized, the total AC-DC conversion power is reduced, a problem of power grid power supply capacity bottleneck generated during development of a new energy automobile charging station is solved, moreover, through concentrated power supply of the DC bus, the DC-DC charging module can satisfy various charging demands of new energy automobiles in different types at quite low cost, and the integrated cost of the charging system is reduced.

The invention relates to a unit combination calculation method considering large-scale wind power consumed by electric vehicles. A wind curtailment cost model and a direct purchase model of wind powerand a charging and discharging cost model and a battery aging cost model of electric vehicles are established by taking the emergency demand response of conventional thermal power generating units, awind power plant, plug-in electric vehicles and a load side as a research object, a demand response model is established, a unit combination model considering large-scale wind power consumed by electric vehicles with the objective of minimum total operation cost of the system is established on the basis, and the problem is solved by an optimization algorithm based on teaching and learning. According to the invention, the charging and discharging power, the charging and discharging efficiency, the battery aging cost and the corresponding total charging and discharging cost of plug-in electricvehicles are studied, the influence of participation of the electric vehicles in scheduling on the total operation cost of the system is analyzed, and the self-elasticity and mutual elasticity of theload are considered in the demand response, so that an emergency demand response plan is formulated, the total operation cost of the system can be remarkably reduced, and the load curve is optimized.

The present invention relates to an AGC dispatching battery charge and discharge method. for actual consideration of a northern area, because the hydroelectric resources are not rich and the temperature influence in the winter is large, the hydroelectric resources can be only taken as fine regulation effect, and therefore the hydroelectric effect is not considered in the winter heating supply period. Thermal power is established, a battery energy storage device participates in an AGC dispatching system, the system states mainly comprises four control states of: a conditional power supply control state, a battery charge state, a battery charge state and a clean energy control state. The determination of a working area mainly takes network entry of all the new energy as a premise to employ alimit control strategy and take out lower limit of a thermal power generating unit and a capacity limit of a battery unit as critical conditions, the thermal power is taken as the main factor, the battery is taken as an auxiliary factor, and therefore the stability of the system is ensured while the clean energy is consumed.

According to the multi-microgrid double-layer coordination optimization scheduling method based on the hybrid game, the utility of an upper-layer aggregator is considered, a cooperative game model ofa lower-layer multi-microgrid is provided, and then the power utilization satisfaction function and utility of the multi-microgrid are considered; wherein the utility function of the lower-layer multi-microgrid comprises the operation cost of the microgrid, the power generation cost of a gas turbine and the charging and discharging cost of a storage battery; a Stackelberg game model is established, so that both the upper-layer aggregator and the lower-layer multi-microgrid tend to maximize the benefits of the aggregator and the lower-layer multi-microgrid; a Stackelberg game model is solved byadopting a particle swarm algorithm, and the electricity purchasing and selling price is optimized by the upper-layer aggregator by adopting the particle swarm algorithm; and the lower-layer multi-microgrid adopts cplex software to solve and optimize an electricity purchasing and selling plan, so that the benefit is maximized. According to the method, the power interaction among the micro-grids is improved, the internal power sharing capability is improved, and the interaction power between the micro-grids and the aggregator is reduced; a Stackelberg game model is provided, the interaction power of peak and valley periods is reduced and increased respectively, and the effects of peak clipping and valley filling are achieved.

The invention relates to a pitch-changing device, in particular to an intelligent flexible pitch-changing device for a wind power generator, and belongs to the technical field of wind power generation. The intelligent flexible pitch-changing device for the wind power generator comprises a wheel hub (1), a bracket (2), a fixed base I (3), rotary bodies (5) and a fixed base II (6); the bracket (2),the fixed base I (3) and the fixed base II (6) are arranged inside the wheel hub (1); the fixed base II (6) is fixedly connected with the lower end of the bracket (1); the fixed base I (3) is sleevedwith the bracket (2) and fixedly connected with the wheel hub (1); a bevel gear I (7) is fixed on the lower part of the bracket (2); a plurality of inertial energy storage mechanisms (4) are fixed onthe upper part of the bracket (2); the plurality of inertial energy storage mechanisms (4) are distributed uniformly along the outer edge of the bracket (2); and three rotary bodies (5) are arranged on the outer edge of the wheel hub (1) uniformly. The intelligent flexible pitch-changing device for the wind power generator has the advantages of high safe reliability, no hysteresis quality, high wind power generation efficiency and stable output power.

The invention discloses a seasonal cold-accumulation all-year cooling system and an operating method thereof, and belongs to the technical field of air conditioners. The system comprises a primary cold-accumulation loop, a secondary cold-accumulation loop, a cold-release cooling loop, a natural cooling loop and a refrigerating cooling loop. In winter, equipment is cooled by the natural cooling loop, and the primary cold-accumulation loop and the secondary cold-accumulation loop generate low-temperature cold energy to store during power consumption valley in winter. In summer and transition seasons, the equipment is cooled by the cold-release cooling loop, and the refrigerating cooling loop is reserved in summer. The seasonal cold-accumulation all-year cooling system utilizes a winter valley electricity price to refrigerate and store cold, is great in cold-storage density, is high in quality, and is suitable for cooling various kinds of electronic equipment, wind generating sets, data machine rooms, and the like.

The invention discloses a system and method for controlling the power of a micro-grid grid-connected tie line. The method comprises the steps that: a micro-grid central controller collects electricalquantities of a micro-grid and a tie line; the relationship between a protocol power PAgr and a micro-grid net load Pnet is judged, the predicted value of the protocol power PAgr is given by an energymanagement system, if the energy management system does not give a value, the value of the protocol power Pagr is an average value of the micro-grid net load Pnet in the time Delta t, when Pagr is larger than Pnet, the micro-grid central controller issues a command to a battery management system to adjust the output of an energy storage unit, the output value of the energy storage unit is PB=Pagr-Pnet, when Pagr is smaller than or equal to PNet, the micro-grid central controller issues a command to the battery management system to stop the output of the energy storage unit, and the charging of the energy storage unit is started. The system and method have the advantages of quick response, simple scheme and good stability.

The invention discloses an economic dispatching method based on a flexible transformer area, which adopts a converter and an energy storage device to transfer inter-transformer-area load, and specifically comprises the following steps: S1, setting an objective function of economic dispatching for balancing the transformer area load rate, reducing the energy storage electricity purchasing cost andreducing the transformer area heavy load rate; S2, constructing power models of a transformer, a converter and an energy storage device in the transformer area; S3, setting constraint conditions whichare based on the power model and accord with actual working condition operation; S4, inputting various parameters of the flexible transformer area; and S5, solving an economic dispatch result, wherein the economic dispatch result comprises a day-ahead power plan of the transformer, the converter and the energy storage device. According to the economic dispatching method, the converter and the energy storage device are adopted to transfer the inter-transformer-area load, and complete balance of the transformer area load rate is realized, the operation cost and the electricity purchasing cost are reduced, and the transformer area heavy load rate is reduced.

The invention provides an optimal scheduling method, system and device for an integrated energy system, and a storage medium. The method comprises the steps of obtaining a predicted demand and a demand response parameter of each load in each scheduling region in a scheduling range, and parameters and output power of each device in the integrated energy system; adjusting the predicted demand of each load by using the load demand response elastic model; and substituting the adjusted predicted demand, the demand response parameter, the parameters of each device of the integrated energy system and the output power into a scheduling model taking the minimum daily operation cost as a target, solving to obtain a power output scheme of each device, and finding that the demand response can change the energy consumption habit of a user through the electricity price through result analysis. An electrical load curve obviously tends to be gentle, and the effect of peak load shifting is achieved; secondly, multi-region optimization is realized by taking the minimum daily operation cost as a target, so that the economical efficiency of the comprehensive energy system is effectively improved; and in addition, the program can be visualized through the GUI, so that the program can be better used by the user.

The invention provides a bidirectional power supply system for a bus electric charging station. The system is composed of a plurality of bidirectional charging devices and a plurality of battery management systems. Each battery management system is connected with a bus electric charging station and is connected with one bidirectional charging device. The bidirectional charging devices are connected with a grid and a vehicle-mounted battery. The battery management systems consist of intelligent switch detection units, SOC checking units, control units, and communication units. The bidirectional charging devices include charging device communication units, charging device control units, battery charging units, and grid supply units. According to the bidirectional power supply system provided by the invention, on the basis of information interconnection of a bidirectional power supply device and the battery management systems (BMS), power is provided for the grid during a high-electricity-price period and the vehicle-mounted battery is charged during a low-electricity-price period, so that the operation benefits of the electric bus can be increased.

The invention relates to a natural gas distributed energy system, in particular to a regional type natural gas distributed energy system with multiple energy storage modes and an operation mode. The regional type natural gas distributed energy system comprises a gas turbine (4), a solar power generation system (5), an electricity storage system (6), a steam turbine (7) and an electric user (8), wherein the gas turbine (4) is connected with the electricity storage system (6) through cables, the gas turbine (4) is further connected with the electric user (8) through cables, the solar power generation system (5), the electricity storage system (6) and the electric user (8) are sequentially connected through cables, the steam turbine (7) is connected with the electricity storage system (6) through cables, and the steam turbine (7) is further connected with the electric user (8) through cables. According to the regional type natural gas distributed energy system, the electricity storage system, a cold / heat storage tank and other equipment are configured, the operation efficiency of the system can be improved, and the configuration capacity of the electric refrigerating machine unit canbe reduced.