The invention discloses a wind power integration unit combination method and device considering compressed air energy storage. The method comprises the steps that according to historical data, wind power output is predicted, a wind power output uncertainty set is constructed; the output constraint and energy storage energy constraint of each time period of a compressed air energy storage system are set; an optimized objective function by adopting the minimized cost as the target of an electric system is set; the power balance constraint, the backup constraint, the climbing constraint and the line power flow constraint needing to be met in each time period of the electric system are set; the output constraint and the minimum starting and stopping constraint of a thermal power unit are set;a robust unit combination model considering compressed air energy storage is constructed, and the robust unit combination model is obtained to obtain a robust unit combination strategy considering compressed air energy storage. According to the method, the compressed air energy storage unit combination strategy considering the wind power uncertainty can be obtained, so that the load modulation behaviors of the compressed air energy storage system are brought into full play, and the new energy absorptive proportion is effectively increased.

Wind power integration unit combination method and device considering compressed air energy storage

The invention provides a combined heat and power optimization method considering user satisfaction degree and participation of an electric boiler in peak regulation. The method comprises a step of converting a static heat load curve into a dynamic heat demand interval in consideration of heat user satisfaction degree in order to obtain a simplified model of a relation between indoor temperature requirements meeting a user satisfaction degree index and heating capacity of a heat supply network, wherein the electric boiler is configured at the secondary heat supply network to break an operationmode of ordering power by heat of a thermoelectric unit, so that the wind power grid connection space is improved, and the abandoned wind power is effectively reduced; and a combined heat and power system adopts a grid hierarchical scheduling method, so that the communication pressure and the difficulty in equipment calculation are reduced, and the system economy is improved.

Combined heat and power optimization method considering user satisfaction degree and participation of electric boiler in peak regulation

The invention discloses an industrial thermal load control system and method for improving the new energy power consumption absorption capability The industrial thermal load control system comprisesa regional new energy real-time load acquisition module, an industrial thermal load system actual target value instruction generation module ADD, an amplitude limiting module and a thermal load PID controller module, wherein the regional new energy real-time load acquisition module sends preprocessed data to an industrial thermal load dynamic correction instruction generation module F(x); and thethermal load PID controller module performs system no-deviating regulation according to an actual target value instruction and a thermal load consumption value of the industrial thermal load system, outputs a control instruction to a thermal load regulating device, regulates the thermal load consumption of the system and enables the thermal load consumption value of the system to be equal to the actual target value instruction of the thermal load system The technical scheme of the invention organically combines new energy power generation and industrial thermal load regulation, can effectively improve the flexible regulation performance of a power grid while improving the new energy power generation absorption capability of the power grid, and provides technical support for the stable andhigh-quality operation of the power grid

Industrial thermal load control system and method for improving new energy power generation absorption capability

The invention discloses a method for optimizing a heat and power mixed energy system. Traditional demand side management and demand side response resource regulation are mostly researched on a certainaspect of system operation, however, a future thermal power hybrid energy system and demand side management cover multiple energy resources and involve multiple entities and are affected by various factors, existing research is very one-sided, and the overall coordination of the influences of system reliability, operational risk, cost, a price, energy utilization efficiency and an environment isnot facilitated. The method of the invention comprises the steps of the modeling of the heat and power mixed energy system without considering energy storage, the modeling of the heat and power mixedenergy system considering energy storage, the modeling of energy conversion of the heat and power mixed energy system, the modeling of optimization control of the heat and power mixed energy system, and the modeling of the optimization of heat and power mixed energy system. According to the method, with a typical heat and power mixed energy system as an object, an economic model of demand side management optimization and control is constructed, and the minimization of the operation body of a terminal energy system is achieved.

Method for optimizing heat and power mixed energy system

The invention provides an OPLC thermal circuit modeling method based on a superposition principle, and belongs to the technical field of power cable detection. The method includes the steps of using COMSOL software to achieve the simulation of an OPLC temperature field; building thermal circuit models under the situations of OPLC four-core heat emitting and single-core heat emitting, and accordingto the superposition principle, building a thermal circuit model of OPLC three-core heat emitting; using a particle swarm algorithm to conduct parameter identification on the thermal circuit model ofOPLC three-core heat emitting; according to an identification result, building an OPLC optical fiber position thermal circuit model. According to the method, by using the superposition principle, superposition is conducted on the thermal circuit models under the two different situations of OPLC four-cable core heat emitting and single-cable core heat emitting, the accurate thermal circuit model under the situation of OPLC three-cable core heat emitting is obtained, and the building reasonability of the OPLC thermal circuit model is effectively improved. By using the particle swarm algorithm,parameters in the thermal circuit model are identified, the model parameters are optimized, the accuracy of temperature calculation values of all layers inside OPLC is effectively improved, and the method is of great significance for mastering the operation state of the OPLC, improving the reliability of OPLC operation and achieving the engineering application of the OPLC.

OPLC thermal circuit modeling method based on superposition principle

The invention discloses a multi-wind-field bidding method for electric heating and promoting wind electricity consumption on spot, belonging to the electric power system technology field. Targeting a minimum electric consumption cost of a thermal storage type electric boiler system, the multi-wind-field bidding method uses wind curtailment power prediction data and a quotation chart which are provided by a wind field according a thermal load requirement of the heat storage electric boiler system, adopts a particle swarm to perform optimization and realizes the minimum electric consumption cost of the thermal storage electric boiler system under a multi-wind filed bidding mode. The multi-wind-field bidding method for electric heating and promoting wind electricity consumption on spot can promote the consumption of wind curtailment electric quantity, improves electricity selling incomes, benefits the wind electricity consumption on spot, can improve a utilization rate of power transmission properties of a power grid company in off-peak hours and effectively reduces electricity buying cost of the thermal storage electric boiler. As a result, the multi-wind-field bidding method for electric heating and promoting wind electricity consumption on spot can effectively promote popularization and application of electric heating in heat supplying northern regions of China in winter.

Multi-wind-field bidding method for electric heating and promoting wind electricity consumption on spot

An optimized control method for a heat accumulating type electric boiler fused energy storage system belongs to the field of a power system and automation thereof. The invention aims to realize the optimized control method for the heat accumulating type electric boiler fused energy storage system through designing a heat accumulating type electric boiler fused energy storage system model, wherein the optimized control method realizes optimal control for the heat accumulating type electric boiler fused energy storage system. The method comprises the steps of establishing a heat accumulating type electric boiler fused energy storage system optimized control mathematical model, acquiring wind power predication information of a wind power field, furthermore obtaining exhaust wind power predication information by means of the mathematical model obtained in the step 1 and the exhaust wind power in the step 2; and considering a suppressing condition in the step 1, and performing optimized settlement on the mixed system by means of a particle swarm optimization algorithm. The optimized control method can be integrated in the system of a heat accumulating type electric boiler fused energy storage system control center, thereby realizing optimized control to the whole system, considering exhaust wind accommodation maximization and electrode boiler adjusting number-of-times minimization and realizing economical and stable operation of the hybrid system.

Optimized control method for heat accumulating type electric boiler fused energy storage system

The present invention discloses a wind power elimination method for improving peak regulation space through adoption of an energy storage system. On the basis of establishment of a daily scheduling model comprising a wind power plant considering wind-fire set output smooth constraint and wind power permeability limit constraint, a wind-fire storage association system daily scheduling model for improving wind power peak regulation space through adoption of the energy storage system is constructed. The minimum total cost of the association system and the maximization of the wind power on-grid energy are taken as multiple targets, a multi-target SA-PSO algorithm base on Pareto optimization is utilized to solve the optimization scheduling scheme of the association system. The wind power elimination method for improving peak regulation space through adoption of the energy storage system can realize the real-time and effective elimination of wind power after the wind power peak regulation space is improved through the energy storage system and have important meanings for guidance of actual wind power grid-connected operation and optimization scheduling.

Wind power elimination method for improving peak regulation space through adoption of energy storage system

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Multi-wind-field bidding method for electric heating and promoting wind electricity consumption on spot

Optimized control method for heat accumulating type electric boiler fused energy storage system

Wind power elimination method for improving peak regulation space through adoption of energy storage system