715 results about "Economic dispatch" patented technology

The present invention relates to a power system and provides a method for considering the network security constraints of in the operation of economic dispatch of power systems, which comprises the power flow constraint of branches, the static voltage stability constraint and the transient stability constraint, and provides an effective way for coordinating contradiction between the economy and security of power system operation. The security region based security-constrained economic dispatching method comprises the following steps: step 1, calculating the coefficients for the active power static security region, the cut-set voltage stability region and the dynamic security region respectively; step 2: building the models for security region based security-constrained economic dispatch; step 3: solving the unit on/off state optimal sub-problem through Social Evolutionary Programming; step 4: calculating the generation cost, the static voltage stability margin and the transient stability margin in the dispatching period; step 5: obtaining a feasible economic dispatching scheme, otherwise, return to step 3. The invention is mainly applied in load dispatching optimization.

The invention belongs to the field of optimized dispatching of combined supply of cooling, heating and power microgrid systems and relates to a general optimized dispatching strategy of combined supply of a cooling, heating and power microgrid system. Based on functions of equipment, the equipment of the combined supply of cooling, heating and power microgrid system is divided into three types, namely source equipment, a convertor and energy accumulation equipment; based on load types, loads are divided into electrical loads, steam loads, hot-water loads and cooling loads; energy buses are divided based on different transmission modes of different energies on the combined supply of cooling, heating and power microgrid system; and various equipment is connected among different buses and on a single bus based on properties. The overall system adopts a bus-type structure, takes bus power balance and equipment operation constraint as constraint conditions to model the combined supply of cooling, heating and power microgrid system, and builds a dynamic economic dispatch model taking the minimum operating cost as an optimization objective to solve problems. The general optimized dispatching strategy of the combined supply of cooling, heating and power microgrid system can effectively solve the problems that the combined supply of cooling, heating and power microgrid system has various types of equipment, is complicated in coupling and difficult in dispatching.

The invention discloses a method for optimizing a wind power system-contained unit and backup configuration in the technical field of the operation and scheduling of an electric power system. The invention adopts a technical scheme that by analyzing the output characteristics of a fan, a valve point effect generated when a turbine inlet valve is suddenly opened is considered in a traditional method for analyzing the operation expense of a thermal power generating unit, and analysis on the rotary backup capacity based on the reliability index is also added; and a mathematic model for optimizing the unit and backup capacity is established, so that an optimal configuration result is obtained, and the configuration is carried out according to the configuration result. According to the method, different treatment ways of the water power in different periods are considered, and a favorable foundation is provided for the stable economical scheduling of the electric power system containing a wind power field; and the random fluctuation of the wind power is considered in the modeling process, a step for analyzing the rotary backup capacity based on the reliability index is added, the operation economical efficiency of the unit is combined with the optimized configuration of the rotary backup capacity, and a unit and backup optimization mathematic model containing the wind power field electric power system is established.

The invention discloses a power-to-gas (P2G) multi-source energy storage type microgrid day-ahead optimal economic dispatching method. The method comprises the steps of building a P2G multi-source energy storage type microgrid model by performing modeling on a P2G multi-source energy storage type microgrid by adopting an energy concentrator method, establishing a supply side matrix expression, a conversion component matrix expression and a load side matrix expression, simultaneously establishing a supply side matrix, a conversion component matrix and a load side matrix, and obtaining a matrix expression of an energy relationship of the P2G multi-source energy storage type microgrid; and establishing a day-ahead P2G multi-source energy storage type microgrid economic dispatching model, which comprises target functions, component models and constraints. According to the method, a second microgrid is added to a power storage and heat storage device on the basis of a first microgrid, so that the wind curtailment amount is slightly reduced, the system cost is also reduced, and the advantages of multi-source energy storage are reflected; and a third microgrid is added to a P2G device, so that the wind curtailment amount is greatly reduced, the utilization rate of a fan is increased to a great extent, and the unique advantages of the P2G multi-source energy storage in the aspect of wind energy absorption are proved.

The invention provides a microgrid economic operation optimization method based on a fuzzy particle swarm algorithm and an energy saving system. The method comprises the following steps of: (1) determining an economic dispatch strategy of a micro source in the microgrid; (2) building a microgrid grid-connected economic operation mathematical model combined with economic benefit and environment benefit; (3) putting forward a fuzzy control strategy for charging/discharging control of the energy saving system; and (4) optimizing based on the particle swarm algorithm, and determining the output of all micro sources and the generation cost per day. Compared with a method in which an optimization dispatch scheme is not adopted by the energy saving system, the method has the advantages that the generation cost per day of microgrid running and pollution emission are reduced; and compared with a method in which the fuzzy control charging/discharging strategy is not adopted by the energy saving system, the method has the advantages that optimal solution quality is improved, operational convergence rate is increased, and the reliability of microgrid running is further enhanced.

The invention relates to a distributed energy management method and device. The distributed energy management device is composed of a ground layer, an intermediate layer and an energy management layer. The ground layer comprises a distributed power controller, an energy storage controller, a load controller, an invertor, a converter and a breaker. The intermediate layer comprises a data communication module, an operation control module, an energy storage management module and a load management module. The energy management layer comprises a data communication and monitoring module, an economic dispatch and optimal operation module, a load prediction module and a power generation prediction module. The ground layer and the intermediate layer coordinate and control short-term power in a local micro-grid system to be stable; the energy management layer coordinates and controls long-term power in the micro-grid system where the energy management layer belongs to be stable, and economization of micro-grid operation is achieved; meanwhile, the distributed energy management device is clear in structure, functions are specific, and system upgrade and function extension are facilitated.

The invention discloses a power grid safety optimization dispatching method considering demand response. The method comprises the following steps: establishing a dynamic excitation compensation mechanism, and carrying out modeling on demand response behaviors of a user according to load shedding and transfer features; establishing a calculation model of power grid reliability index loss-of-load probability and expected energy not supplied; converting a reliability index into an economic index and integrating the index into an objective function, and establishing a day-ahead economic dispatch model with the total operation cost minimum being as an objective; establishing constraint conditions to enable an electric power system to meet system constraints, unit constraints and security constraints; and carrying out solving through calculation software to obtain an optimal day-ahead economic dispatch result. The demand response and reliability index are integrated into day-ahead dispatching of the electric power system, and the optimal dispatching model considering dynamic excitation compensation and expected power failure loss is established, thereby coordinately solving the problem of unit commitment of a generation power side and the problem of supply-demand interaction of a demand side and realizing economy and security of operation of a power grid.

The invention discloses a day-ahead economic scheduling method for an electric-pneumatic coupled system based on mixed integer second-order cone programming. A function whose all-day energy and spareall-in cost are minimum is used as a target function, and constraint conditions of a power system and a natural gas system, and electric-pneumatic coupling and conversion relations are considered, toestablish an optimization model of electric-pneumatic coupled system day-ahead economic scheduling. On the basis of the model, through second-order cone relaxation of a steady-state airflow equation of a gas pipeline, a mixed integer second-order cone programming model of day-ahead economic scheduling of the electric-pneumatic coupled system is established, and an initial operation scheme is solved and obtained. Aimed at a problem that an initial scheduling result of a natural gas system is not accurate, a calibration model based on a steady-state power flow calculation method of a natural gassystem is established, so as to modify an initial operation scheme. The method realizes accurate solution of a non-convex nonlinear optimization problem, and provides a feasible, economical and accurate optimal operation scheme for electric-pneumatic coupled system day-ahead scheduling.

The invention provides an isolated island micro-grid layered distribution type control strategy based on a consistency theory. The isolated island micro-grid layered distribution type control strategycomprises the steps: firstly, a primary droop control strategy is proposed, a distribution type multi-loop controller based on droop control is designed and comprises an outer loop power controller and an inner loop voltage and current controller, distribution type power supply quick response is achieved, and the system voltage and frequency are stabilized; then based on a finite time consistencyalgorithm, a translational droop curve method and a voltage-reactive droop coefficient correcting method, distribution type secondary frequency control and secondary voltage-reactive control strategies are proposed, frequency and voltage deviations caused by primary droop control are corrected, and reactive power proportional distribution is achieved; and finally, an economic dispatching model isbuilt by considering the optimal total power generating cost of a micro-grid system as a target, solving is carried out by adopting a Lagrangian dual decomposition method, an isolated island micro-grid distribution type economic dispatching method is further proposed based on the finite time consistency algorithm, and thus the optimal output active power of all distribution type power supplies isindependently solved locally.

The invention discloses a virtual power plant optimization scheduling method based on a master-slave game strategy. The method comprises the following steps: 1, analyzing and constructing a virtual power plant model containing multiple load types; 2, establishing a virtual power plant transaction model based on an existing power market transaction mechanism; 3, establishing a risk cost model considering uncertain factors; 4, carrying out optimal scheduling on the virtual power plant by adopting a master-slave game strategy; And 5, solving the optimized scheduling model through a reinforcementlearning algorithm. According to the method, the volatility of distributed energy output in the virtual power plant and the uncertainty of load prediction are considered, an economic dispatching modelof the virtual power plant in the power market is constructed, and a master-slave game strategy and a reinforcement learning algorithm are adopted for optimization solution, so that the purposes of improving the production benefits of the virtual power plant and reducing the load power purchase cost are achieved.

The invention discloses an internet and thermal power plant heat production operation integrated management platform. The internet and thermal power plant heat production operation integrated management platform comprises a centralized dispatching control center, six important functional subsystems such as a heat and power generation optimized dispatching subsystem, a heat transmission and control subsystem, a pipe network safety management subsystem and the like, as well as long-distance pipe networks and user control terminals, wherein the user control terminals are accessed to the internet through a mobile communication network; the centralized dispatching control center and the functional subsystems are connected with each other through an industrial control network and connected with the internet; the heat and power generation optimized dispatching subsystem is connected with DCS of each generator set through the industrial control network; and the heat transmission and control subsystem is connected with each long-distance pipe network and each user control terminal through the internet and the mobile communication network. Through the internet and the private network, the heat production and operation businesses and the target requirements of the thermal power plants are integrated on one platform, so that the data share and business integration are realized, the production and operation efficiency is optimized, and the economic dispatching operation level and the enterprise management level are improved.

The invention discloses an AC/DC power distribution network scheduling method considering wind power uncertainty, being characterized in that factors such as a flexible adjustment range, an adjustmentrate and adjustment time are considered; quantitative evaluation is carried out on source network load flexibility resources of the AC/DC power distribution network; an AC/DC power distribution network operation flexibility evaluation index and a calculation method are defined; based on non-parametric kernel density estimation and a confidence interval method, constraint conversion of a power distribution network flexibility demand considering wind power uncertainty is realized; and an implementation scheme of a layered and partitioned scheduling strategy in the AC/DC power distribution network is determined, and a multi-target day-ahead flexible economic scheduling model of the AC/DC power distribution network is established by taking the operation economy and the electric energy qualityof the power distribution network as target functions and taking controllable operation parameters in the converter station and the AC/DC power grid as decision variables. On the premise of ensuringthat the AC/DC power distribution network deals with system uncertainty fluctuation, the system network loss is further reduced, and the node voltage level is improved, and the RES acceptance level isimproved, and the total system scheduling cost is reduced.

A method and system are provided for managing a power system having a grid portion, a load portion, a storage portion, and at least one of a renewable portion and a fuel-based portion. The method includes generating, by a scheduler responsive to an indication of an occurrence of a power outage, an outage duration prediction. The method further includes solving, by the scheduler, an economic dispatch problem using a long-term energy optimization model. The method also includes generating, by the scheduler based on an analysis of the long-term energy optimization model, an energy management directive that controls, for a time period of the outage duration prediction, the storage portion and at least one of the renewable portion and the fuel-based portion. The method additionally includes controlling, by a controller responsive to the directive, the storage portion and the at least one of the renewable portion and the fuel-based portion.

The invention discloses an economic dispatch method for a micro grid based on a centralized and distributed double-layer optimization strategy. The method is an optimized dispatching method using economical efficiency as an objective under the running state of a single micro grid. The method comprises the following steps: in the centralized-distributed double-layer optimization, a centralized layer corresponds to an advanced optimization process within a predicted period, which is performed based on predicted data of the output power and the load of each uncontrollable unit in the micro grid, and the process of the method is completed by a centralized control center of the micro grid; the distributed optimization corresponds to a real-time optimization process performed based on real-time data of the output power and the micro grid load of each uncontrollable unit of the micro grid at each dispatch time in a predicted period length, and the optimization process is performed in a distributed manner and is completed by a micro power supply controller which is built in each unit of the micro grid. The economic dispatch method disclosed by the invention puts forwards that the economical efficiency of energy storage is not considered, namely the energy storage does not participate in the optimization process of the economical efficiency.

The invention relates to a generating method of a universality cost space when an electric grid dispatching mechanism draws up generation plans meeting various security constraints, and provides a 'sequence cost space' construction method required by an optimization algorithm, including information of a generation dispatching loading sequence, a constraint adjustment sequence, and the like by summarizing production rules of dispatch and combining an electric power market with an economics theory of energy-saving dispatch. Cost management is cooperated in the process of solving security-constrained economic dispatch, such that the optimization algorithm can universally meet requirements on various generating modes of just, fair and open dispatch, energy-saving dispatch, cost dispatch, electric power market, and the like, and a new solving way is provided for realizing generation resource optimum distribution and large electric grid security constraint, reducing loss of the electric grid and further improving electric transmission and transformation resource. The invention provides a time-saving, labor-saving and universal cost space generation method without needing of carrying out complex mold construction and solution according to the particular case in the security-constrained dispatch.

The present invention relates to a comprehensive energy system day-ahead economic dispatching method, by which the technical problem that the comprehensive energy utilization efficiency is low due tothe fact that an existing analysis method takes insufficient consideration of the multi-energy coupling effect of heat, electricity and gas can be solved. The method comprises the following steps of S100, establishing an energy efficiency model with economic benefit maximization as a target to meet the requirements of different users for electricity and heat under supply and demand balance and operation constraint conditions; S200, establishing a model objective function, taking the total profit maximization as an objective function, i.e., the total system cost is subtracted from the energy selling profit, wherein the total cost comprises the operation cost of power supply, heat supply and gas supply, the starting cost and the shutdown cost; S300, establishing a model constraint condition,wherein the model needs to meet two types of constraints of the system operation constraint and the operation constraint of each device; and S400, performing linear conversion on the model. Accordingto the method, the segmented linearization is adopted to carry out conversion solution, a good effect is achieved, and important guidance can be provided for researching comprehensive energy system optimization scheduling adapting to the marketization environment.