214 results about "Distributed generation" patented technology

The present application provides a multi-level coordinated voltage control method and system for a power distribution network based on three-tier priority objectives. The method comprises: acquiring operation parameters of a power distribution network; on the basis of the operation parameters of the power distribution network and a pre-constructed three-tier optimization objective planning model, using an affine theory, a duality theory, and power circle linearization and absolute value linearization methods to solve the three-tier optimization objective planning model to obtain maximization of an admissible net-load disturbance domain at each node, minimization of the total operation cost of the power distribution network and minimization of an expected voltage deviation; and performing coordinated control on various reactive devices of the power distribution network by means of the operation parameters of the power distribution network corresponding to the maximization of the admissible net-load disturbance domain at each node, the minimization of the total operation cost of the power distribution network and the minimization of the expected voltage deviation. The present application can more clearly characterize the uncertainty of distributed generation power output and the impact of the distributed generation power output on system reserve capacity, and mitigate the problems of ambiguous characterization of distributed generation power output characteristics, and multi-level voltage violation and voltage fluctuation of the power distribution network caused by large-scale distributed generation integration.

The invention belongs to the technical field of energy storage power stations, and particularly relates to an energy storage power station electric quantity optimization method based on graph calculation, which comprises the following steps: S1, predicting future power generation capacity and load demand of an energy storage power station based on graph calculation: acquiring historical power generation data and load data of a distributed power station in a grid-connected area of the energy storage power station, and external influence data, constructing a time-space diagram neural network model, and obtaining prediction results of the power generation data and the load data in each hour period of the next 24 hours; s2, calculating the power and load value of each node in the power grid through power flow analysis; and according to the predicted future power generation capacity and the load demand, the electric quantity needing to be provided or consumed by the energy storage power station is calculated. Optimization of energy of the power storage station is achieved, and the cost of the power storage station is reduced.

The invention discloses a distributed power grid power generation equipment optimization scheduling method and system, and the method comprises the steps: firstly obtaining historical operation state data and real-time operation state data of a distributed power generation network, then taking one piece of distributed power generation equipment as target distributed power generation equipment, and determining an initial output range and an actual output range of the target distributed power generation equipment; and finally, determining the actual output range of the plurality of distributed power generation devices, constructing an output optimization scheduling model, determining an optimization objective function and constraint conditions, solving the output optimization scheduling model, outputting an optimal scheduling scheme, and adjusting the output of the distributed power generation devices. According to the method, the target distributed power generation equipment is evaluated and scored by integrating historical and real-time data so as to accurately determine the actual output range of the equipment, and the scheduling scheme is ensured to better fit the actual operation condition by constructing the optimization model and determining the appropriate target and constraint, so that the operation efficiency and stability of a power grid are improved.

The invention relates to the field of intelligent power grids, and discloses an electric power marketization operation optimization method and system based on user-side resource aggregation, and the method comprises the following steps: a), recognizing and classifying user-side resources, specifically including distributed power generation, energy storage equipment and adjustable loads, forming a user-side resource database, and facilitating the subsequent management and scheduling; b) formulating transaction rules of market participants, and determining participation conditions, rights and obligations of household users, small commercial users and large industrial users to ensure fair participation of various users in the market; and c) automatically executing the transaction through the smart contract. Through user side resource aggregation, the method can effectively integrate distributed power generation, an energy storage system and an adjustable load, optimizes supply and demand balance of power, and enables a user to adjust a power utilization strategy in different demand time periods through a real-time monitoring and dynamic pricing mechanism, thereby reducing resource waste and improving the overall efficiency of a power system.

The invention provides a reliability evaluation method and system considering that a micro-grid supports a power distribution network, and the method comprises the steps: employing a Monte Carlo simulation framework, building a probability reliability model through the development of a modeling process of a self-control grid-connected micro-grid, describing the micro-grid suitable for various standard scenes, and evaluating the reliability of a multi-MG grid-connected power distribution network. Scheduling and resource management are optimized by using a mixed integer linear programming technology; a micro-grid component is simplified into an equivalent distributed power generation unit, and the equivalent distributed power generation unit is integrated into an overall analysis framework, so that the calculation complexity is effectively reduced, the reliability evaluation efficiency of the power distribution system is remarkably improved, and the function of performing reliability evaluation on the power distribution network is realized. The framework and the model provided by the invention are adaptive to economic and technical research, and the reliability of the multi-MG power distribution system is enhanced; the method is an accurate and simple reliability evaluation method, reduces the operation burden, and improves the reliability evaluation efficiency of the power distribution network.

The invention, which relates to the technical field of distributed power generation, discloses a modularized distributed photovoltaic inverter cluster intelligent regulation and control system comprising an impedance identification module, an impedance control module, a state sensing module, a fault diagnosis and isolation module, a power distribution module and a cluster fault control module. The power grid impedance monitoring module is used for monitoring voltage and current signals of a grid-connected point of the photovoltaic inverter, calculating a power grid equivalent impedance value, an impedance change trend and a harmonic component proportion of the current photovoltaic inverter, and generating power grid impedance information. The impedance identification module and the impedance control module are arranged, adjustment is carried out based on the virtual impedance parameters, the resonance problem caused by power grid impedance fluctuation is effectively suppressed, the situation that grid-connected current distortion affects the electric energy quality is avoided, the photovoltaic inverter cluster stably operates in a power grid impedance change scene, and the power grid impedance change efficiency is improved. And the cluster grid-connected power quality and the adaptability to the power grid environment are improved.

The invention relates to the technical field of power dispatching optimization, in particular to a multi-source power real-time dispatching optimization method and system based on reinforcement learning. The method comprises the following steps: acquiring required load information data of power generation equipment in different time periods; constructing an optimal scheduling strategy model of hybrid wind-fire distributed power generation; adopting a Monte Carlo method and a double-Q learning algorithm to optimize the optimal scheduling strategy model; and performing multi-source power real-time scheduling optimization by using the optimal scheduling strategy model. The multi-source electric power dispatching method is optimized in real time through the reinforcement learning method, the optimal electric power dispatching strategy is searched, compared with a traditional method, the electric power cost is reduced by 15% or above, meanwhile, automatic dispatching can be achieved, and manual intervention and experience dependence are reduced.

The invention relates to a transportation junction multi-business micro-energy network chain-type interconnection architecture, and the architecture comprises a load layer which comprises micro-energy networks of different business forms; the energy layer comprises an external energy source and a distributed power generation and energy storage system and is used for providing comprehensive energy supply for energy consumption requirements of the micro-energy grids in different commercial forms in the load layer; the energy network layer comprises different types of energy networks, the different types of energy networks carry out coupling conversion on energy of the energy layer so as to meet the energy use requirements of micro energy networks in different business states in the load layer, and coupling interaction and interconnection intercommunication between the different types of energy networks are achieved through different types of energy conversion equipment; and the cloud edge-end energy collaborative management and control system is used for regulating and controlling the energy layer, the energy network layer and the load layer by utilizing a cloud-edge-end three-layer management and control architecture so as to realize the collaboration and dynamic balance of multiple energy flows among different regions of the transportation hub.

The invention discloses a network security monitoring method and system based on the Internet of Things, and relates to the technical field of Internet of Things security. Through dynamic challenge-response physical unclonable authentication, physical parameters and a real-time state are fused to generate a dynamic challenge value, and a physical unclonable function circuit is combined to generate a response value to realize identity verification; adaptive noise lattice-based homomorphic encryption is adopted, a ciphertext is generated based on a high-dimensional lattice-based password, and noise parameters are adjusted through channel quality to guarantee transmission security; multi-modal confrontation federated learning anomaly detection is utilized, flow, energy consumption and physical state characteristics are fused, and parameters are aggregated through a confrontation auto-encoder training model and based on federated learning; through dynamic threshold key negotiation, in combination with identity-based encryption and a block chain smart contract, distributed generation and dynamic adjustment of a key are realized; on the basis of a Merkle-salt value dynamic hash chain and block chain evidence storage, a log is generated in a trusted execution environment, a hash chain is constructed, and chain tail hash is synchronized to block chain evidence storage.

The invention discloses a point-to-point energy transaction method and system based on a virtual community and distributed power generation, and relates to the technical field of intelligent power grids, and the method comprises the steps: building a building model, and enabling the building model to be aggregated into a virtual community model according to the position of a power distribution network; establishing a distributed power generation model, and introducing a distributed power generation source into the virtual community model; when the virtual community and the distributed power generation source carry out point-to-point transaction, establishing a power distribution system operator model; and integrating the building model, the virtual community model, the distributed power generation model and the power distribution system operator model into a framework model of P2P energy transaction to obtain the point-to-point energy transaction method. According to the method, the utilization rate of renewable energy sources is maximized, and dependence on an external power grid is reduced. The energy transaction cost is remarkably reduced, the flexibility and expandability of the system are improved, the stability of the power distribution network is effectively maintained, network overload is prevented, and privacy protection and a reliable transaction mechanism are provided.

The invention provides an offshore renewable energy power-based hydrogen-ammonia preparation zero-carbon comprehensive energy application system, which specifically comprises a renewable energy power module, an offshore energy platform module and a hydrogen-ammonia application module, and comprises an offshore photovoltaic module, an offshore wind power module and an ocean tidal energy module of the renewable energy power module; the offshore energy platform module comprises an intelligent control module, an air separation device, a water electrolysis hydrogen production device, an ammonia synthesis device, a buffer storage device and a hydrogen ammonia power generation device; the hydrogen-ammonia application module comprises a marine transportation system and a hydrogen-ammonia energy comprehensive application system, and the hydrogen-ammonia energy comprehensive application system comprises a hydrogen production and hydrogenation integrated station, an ammonia filling station and distributed power generation equipment. The power generated by the renewable energy power module is applied to the offshore energy platform module for hydrogen production and ammonia synthesis, and then the power is conveyed to the onshore hydrogen ammonia application module for application, so that the application of zero-carbon comprehensive green energy is really realized.

The present invention discloses a multi-time scale collaborative optimization scheduling method and system for a power system, and belongs to the field of distributed power generation technology. The present invention provides a multi-time scale optimization scheduling strategy for a distribution network that combines day-ahead scheduling and intraday redispatching. In this strategy, day-ahead scheduling and intraday scheduling are solved under the framework of the same optimization problem. Therefore, day-ahead scheduling is subject to the predicted values ​​of intraday load and distributed resources, and a more balanced scheduling result can be obtained. In the intraday stage, various adjustable power equipment needs to be redistributed based on the day-ahead scheduling result, which can be restricted by the equipment action amount adjustment constraint. The strategy also takes into account the participation of mobile energy storage and SOP, so as to reduce power grid power fluctuations, network losses and wind and solar abandonment, and improve the low-carbon nature and safety of distribution system operation.

The invention discloses a dynamic simulation method, a dynamic simulation device, dynamic simulation equipment, a dynamic simulation medium and a dynamic simulation product for a network construction type fuel cell power generation system, and relates to the field of physical object simulation dynamic modeling and performance analysis. The method comprises the following steps: firstly, determining the overall structure and configuration of the network-constructing type fuel cell power generation system, carrying out comprehensive modeling by utilizing a thermoelectric comparison method on the basis, and establishing an overall standard circuit model of the network-constructing type fuel cell power generation system; constructing a dynamic simulation model of the network-constructing type fuel cell power generation system based on the overall standard circuit model; by adjusting input parameters of the dynamic simulation model, simulating dynamic responses of the network-forming type fuel cell power generation system in different distributed power generation scenes; and performing cluster analysis on simulation results under different distributed power generation scenes, and formulating an intelligent control strategy of the distributed power generation system. According to the method, the dynamic response of the network-forming type fuel cell power generation system to the power grid in the distributed power generation system can be accurately simulated under the condition that large-scale on-site deployment is not needed.

The present invention discloses an optimized control strategy for the transient characteristics of a distributed generation system, including the following control structures: an output power measurement unit, a parameter controller, a voltage regulation controller, a primary frequency modulation controller, an output power response optimization controller, and SPWM modulation. The distributed generation system realizes functions such as output power monitoring, operating parameter setting, voltage control, primary frequency modulation, inertia and damping simulation, rapid oscillation suppression, and inverter shutdown control through the above control structures. The present invention will solve the problem that when a grid-connected inverter is connected to the end of the power grid, it is vulnerable to frequency fluctuations and generates serious power oscillations, and can effectively optimize the transient response of the system to grid connection and achieve rapid suppression of output oscillations.

The invention relates to a distributed voltage control method and device, electronic equipment, a readable storage medium and a program product. The method comprises the following steps: establishing a micro-grid communication model based on a graph theory based on a micro-grid comprising a plurality of distributed power generation units, for each node, acquiring inverter output voltage of an adjacent node of the node based on the micro-grid communication model, and calculating the inverter reference voltage of the node and the inverter output voltage of the adjacent node according to the inverter reference voltage of the node and the inverter output voltage of the adjacent node. And the inverter output voltage of the node is adjusted based on a containment consistency control protocol, so that the common bus voltage of the micro-grid reaches a rated value when the system is in a steady state. The distributed micro-grid communication model adopts sparse communication to realize voltage regulation and power distribution, and each node in the system only communicates with the adjacent node, so that the communication cost is reduced. And the voltage consistency among the distributed nodes is realized through the containment consistency control protocol, so that the stability and the reliability of the whole system can be improved.

The invention relates to a layered and partitioned distributed power supply and energy storage two-stage planning method considering source storage load, belongs to the technical field of distributed power supply and energy storage capacity planning in a power distribution network, and aims at solving the problem of consumption caused by access of high-proportion renewable energy to the power distribution network and improving the power supply reliability of a power system. The power system operation cost is reduced; the method comprises the following steps: firstly, dividing a voltage regulation area of each distributed power supply on the basis of an electrical distance structural index based on active-reactive voltage sensitivity, secondly, carrying out two-stage planning on the basis of partitioning, constructing a two-stage planning model by taking minimum network loss and optimal economical efficiency as targets, and carrying out solving by adopting a distance-based improved ant lion algorithm; and finally, solving based on an IEEE33 node example, and verifying the effectiveness of the two-stage planning. The method has the advantages that the power complementation characteristic is fully played, the two-stage planning model is constructed, and the power distribution network operates economically, safely and reliably.

The invention provides a power distribution network optimization method and system considering distributed generation output and load demand time varying, and relates to the technical field of power grids, and the method comprises the following steps: S1, initializing system parameters; s2, collecting distributed photovoltaic output and load requirements; s3, constructing a load state estimation model, and obtaining a measurement missing point load based on the load state estimation model; s4, performing power distribution network reconstruction optimization by using the optimization function; and S5, periodically monitoring node voltage deviation, and when the deviation is greater than a given threshold value, starting network reconstruction of the power distribution network. According to the method, random changes of the load and the generated output can be considered at the same time, and the power distribution network is reconstructed and optimized, so that the voltage level and power loss of the power distribution network are improved. Meanwhile, due to the introduction of the state estimation method, the method is also suitable for the reconstruction problem caused by insufficient coverage of the measurement meter of the power distribution network in the remote area.

The invention relates to a distributed power supply-containing power distribution network fault recovery global optimization method based on ring matrix coding, and the method comprises the steps: constructing a distributed power supply model, and obtaining a distributed power supply-containing power distribution network according to the distributed power supply model; the method comprises the following steps: establishing an ordered annular matrix according to a topological structure of a power distribution network, and performing integer coding on each loop in the ordered annular matrix to obtain an annular matrix code; constructing a power distribution network fault recovery model based on the load recovery rate, the network loss and the utilization rate of the distributed power supply; and generating an initial population according to the ring matrix coding, and performing optimization solution on the power distribution network fault recovery model by adopting an intelligent optimization algorithm to obtain a final fault recovery scheme. According to the method, ring matrix coding and a one-stage fault recovery strategy are combined, all solutions generated by utilizing the ring matrix coding are feasible solutions, and the feasibility of the final solution obtained by carrying out island division on the basis is also ensured.

The invention discloses a micro-grid optimal scheduling method, system and device considering flexible loads, and relates to the field of micro-grid optimal scheduling. Establishing a comprehensive objective function and constructing an operation load constraint set by taking micro-grid operation cost minimization and environmental benefit maximization as objectives; based on the operation load constraint set, solving the comprehensive objective function to obtain day-ahead scheduling information and intra-day rolling information; issuing a flexible load regulation and control instruction to the micro-grid through the block chain smart contract, and collecting flexible load real-time operation feedback information; and in combination with a deep reinforcement learning emergency regulation and control strategy and a sensitivity analysis optimization strategy, determining a compensation optimization scheduling scheme according to the flexible load real-time operation feedback information and the flexible load regulation and control instruction. The method can give consideration to both environmental protection and economy, improves the reasonability of load regulation and control, and effectively deals with the uncertainty of the source load.

The invention provides a distributed power supply and energy storage reactive power control method considering interval coordination, and relates to the technical field of energy storage, and the method comprises the steps: dividing a power distribution network into a plurality of power distribution network regions according to the power loss, the power utilization demand mode, the load characteristics, and the power grid adjustment capability; collecting power loss data of branches in each power distribution network region; constructing a target power optimization model according to the power loss data and the power distribution coefficient corresponding to each power distribution network region; performing iterative solution on the target power optimization model by taking the total loss of the minimized current at each intersection as a target and taking branch node voltage constraint, reactive current stability constraint and equipment capacity constraint as constraint conditions to obtain a reactive power control strategy of the distributed power supply and energy storage; and according to the reactive power control strategy, controlling operation equipment in each power distribution network area. According to the scheme, control over the distributed power supply and the energy storage reactive power can be achieved through line monitoring, and then the voltage quality of the transformer area is improved.

A system and method for determining location information of a portable device relative to an object is provided. In one embodiment, aspects of the system to determine location with respect to the portable device may be distributed among more than one device in the system.

The invention belongs to the technical field of VSG control, and particularly discloses a VSG asymmetric low voltage ride through control method which comprises an active frequency control link and a reactive voltage control link. Wherein a phase compensation link is added in the active frequency control link, and is used for setting a negative sequence current reference value of a power grid to be 0 when the power grid breaks down, and performing phase compensation on a positive sequence ring of the power grid; primary voltage regulation switching PI control is added in the reactive voltage control link and is used for switching a power grid voltage reference value in the reactive voltage control link into a reactive power reference value Qa during a fault and switching an inverter reactive power reference value into a reactive ring reference voltage Eerror in the active frequency control link during the fault when the power grid breaks down; amplitude compensation is carried out on a reference voltage amplitude output by the reactive loop, and meanwhile, a proportional link in a reactive voltage control link is changed into PI control. According to the invention, the low-voltage ride-through capability of the distributed power generation system can be effectively improved.

A method for providing a multi-layer protection against faults for a power plant is provided. The method includes monitoring, via a system level controller, one or more parameters at a first plurality of distributed power generation resources. The method also includes implementing, via the system level controller, a failsafe mode when the one or more parameters of the first plurality of distributed power generation resources exceed a first threshold. Specifically, the fail-safe mode includes implementing a time delay, and after the time delay, commanding, via the system level controller, a trip of a first feeder circuit breaker on the first feeder line. The method further includes exiting the failsafe mode when the one or more parameters of the first plurality of distributed power generation resources are equal to or fall below a first threshold.

This invention provides a distributed generation (DG) optimization configuration method based on a quantum genetic algorithm, aiming to minimize power loss and improve voltage stability in power distribution systems. The method first collects basic data of the power distribution network, including bus numbers, voltage levels, line impedances, bus load demands, and capacity limitations of distributed generation sources. Next, a population containing different DG configuration schemes is initialized using a random number generation algorithm, and the population is iteratively optimized using a quantum genetic algorithm. During the optimization process, quantum selection, crossover, and mutation operations are used to generate a new generation of configuration schemes, and the power loss and voltage level of each scheme are evaluated using a fitness function to gradually approach the optimal solution. After obtaining the optimal configuration scheme, different load conditions (such as load increases or decreases) are simulated to verify and optimize the adaptability of the configuration, ensuring that the system can maintain low power loss and voltage stability under load fluctuations. The final output optimal DG configuration scheme includes bus location, capacity, and optimized power loss and voltage curves, capable of adapting to dynamic load changes. This method can effectively reduce power loss and improve voltage stability in power distribution systems, providing technical support for building efficient and reliable power distribution systems.

The invention relates to the technical field of power system optimization control, and discloses a micro-grid energy management method, system and device and a storage medium, and the method comprises the steps: constructing a first optimization model containing renewable energy, distributed power generation and demand response based on an actual operation scene of a micro-grid; establishing a demand response model based on a first load response mechanism, and applying the demand response model to the first optimization model; introducing a first optimization algorithm, and fusing a greedy search mechanism of a second optimization algorithm on the basis of the first optimization algorithm to obtain a first fusion optimization algorithm; and in combination with the actual operation data, solving a first optimization model of the application demand response model by using a first fusion optimization algorithm to obtain an optimal scheduling scheme of each distributed energy source. According to the method, the price elasticity demand response strategy and the advanced meta-heuristic optimization technology are combined, the future micro-grid management practice is effectively guided, and the development of a more elastic and environment-friendly energy system is facilitated.

The invention provides a photovoltaic inverter DC side anti-reflux device and method, and belongs to the field of distributed power generation. The device is connected in series between a photovoltaic string and an inverter, and comprises a circuit breaking unit, a parallel power adjusting unit, a blocking diode and the like. The control method adopts a hierarchical control strategy of removal and adjustment: a controller collects the countercurrent power of a grid-connected point in real time, and when countercurrent is detected, the countercurrent power is judged; if the countercurrent power exceeds the output power of the single-path photovoltaic string, cutting off is executed, the corresponding number of circuit breaking units are directly controlled to be disconnected, and part of the photovoltaic string is physically cut off; and controlling the residual trace countercurrent power, calculating a PWM duty ratio by using a direct calculation or incremental PID algorithm, and driving a power adjusting unit to carry out hardware chopping consumption or suppression. According to the invention, long-time heating of the power device under large current is avoided, the problem of overlarge power regulation granularity caused by pure cutting is solved, and smooth and rapid countercurrent prevention of the photovoltaic system is realized.

This invention discloses a multi-source collaborative optimization control method for smart microgrids, relating to the field of energy technology. The method includes: connecting to the user side to predict the power supply demand of the target microgrid in a preset time zone; acquiring a hybrid energy supply module containing multiple distributed power sources; collecting historical power supply logs of the distributed power sources and generating relevant time sequences; performing energy curtailment rate analysis based on this to generate indicators and decisions; optimizing energy storage units after determining that the indicators meet the standards; and then performing multi-source collaborative power supply control according to preset demand. This method solves the technical problems of existing new energy power generation uncertainties that are difficult to accurately predict, and unreasonable energy storage module configurations that lead to significant energy losses during power generation, storage, and distribution, resulting in low energy utilization efficiency and unstable power supply quality. By optimizing and integrating new energy power generation, energy storage modules, and energy distribution in the microgrid, it achieves the technical effect of reducing energy losses and ensuring efficient and high-quality power supply to the microgrid.

The invention provides a distributed generation (DG) optimal configuration method based on a quantum genetic algorithm, and aims to realize power loss minimization and voltage stability improvement of a power distribution system. The method comprises the following steps: firstly, collecting basic data of a power distribution network, including bus numbers, voltage grades, line impedance, bus load requirements, capacity limitation of distributed power supplies and the like; thirdly, initializing a group of populations containing different DG configuration schemes by adopting a random number generation algorithm, and carrying out iterative optimization on the populations through a quantum genetic algorithm; in the optimization process, a new generation of configuration schemes is generated by using quantum selection, crossover and mutation operations, and the power loss and the voltage level of each scheme are evaluated through a fitness function so as to gradually approach the optimal solution. After an optimal configuration scheme is obtained, different load conditions (such as load increase or decrease) are simulated so as to verify and optimize the adaptability of the configuration and ensure that the system can still maintain low power loss and stable voltage under load fluctuation. The finally output optimal DG configuration scheme comprises the bus position, the capacity and the optimized power loss and voltage curve, and can adapt to the dynamic change of the load. The method can effectively reduce the power loss of the power distribution system, improves the voltage stability, and provides technical support for constructing an efficient and reliable power distribution system.

The invention discloses an area micro-grid distributed power supply-energy storage robust collaborative planning method considering load side resource flexibility, and belongs to the technical field of power system planning. Comprising the steps that energy storage characteristics of load side electric vehicles and heating ventilation air conditioners are considered, and a cluster electric vehicle generalized energy storage aggregation model and a heating ventilation air conditioner generalized energy storage aggregation model are established; considering the influence of source-load uncertainty, and according to the cluster electric vehicle generalized energy storage aggregation model and the heating ventilation air conditioner generalized energy storage aggregation model, establishing a zone area micro-grid robust collaborative planning model considering the load side resource flexibility; and solving the zone area micro-grid robust collaborative planning model considering the load side resource flexibility by adopting a nested column and a constraint generation algorithm. According to the collaborative planning model established by the method, the flexible adjustment potential of load side resources can be fully mined, the energy storage configuration scale is remarkably reduced, and economic and efficient operation of the micro-grid can be ensured.

The present disclosure relates to control of a voltage regulator in an electric power system. In one embodiment, a system to control a voltage regulator includes a communication interface configured to communicate with the voltage regulator. A power flow direction subsystem may determine a direction of a current flow in the electric power system. A tap change monitoring subsystem may monitor tap changes implemented by the voltage regulator to evaluate a voltage change resulting from each of the plurality of tap changes and determine a source stiffness value for a first source and a second source. A voltage regulator control subsystem is configured to determine a regulation direction based on the direction of current flow determined by the power flow direction subsystem and based on the source stiffness value for the first source and the second source, and communicate the regulation direction to the voltage regulator through the communication interface.