7 results about "Demand side" patented technology

The invention discloses a demand side capacity two-stage robust planning method considering cost and flexible resources, and belongs to the technical field of power system operation and maintenance. According to the method, uncertainty adjustment parameters are introduced, a box type uncertainty set capable of flexibly adjusting conservative property is constructed, the inherent defect that a traditional robust optimization method is too conservative is effectively relieved, the model can dynamically adjust the boundary of the uncertainty set according to different bearing capacities of an actual system to risks, and the robustness of the system is improved. Therefore, refined balance of economy and reliability can be realized in the planning stage. According to the constructed two-stage robust optimization model considering the electricity-carbon coupling mechanism, the carbon transaction cost is taken as an important component of the operation cost to be incorporated into the target function, and the requirements of the national green low-carbon energy strategy are effectively responded. According to the improved column generation and interior point hybrid algorithm designed by the invention, a self-adaptive scene screening mechanism and a gradient guide initialization strategy are provided, the solving time is remarkably shortened, and meanwhile, the global optimality of understanding is ensured.

This invention discloses a method and system for coordinated control of aggregated load on the demand side. The method includes: acquiring user-side electricity price, market electricity price fluctuations, and user baseline load forecast data; analyzing these to obtain a demand response target; based on the demand response target and combined with user characteristics, selecting corresponding price-based and incentive-based demand response modes, and constructing corresponding demand-side aggregated load models; wherein, based on the price-based demand response mode, a price-based demand-side resource aggregated load model is constructed; based on the incentive-based demand response mode, an incentive-based demand-side aggregated load model is constructed; according to the demand response mode and the demand-side aggregated load model, a control strategy for the aggregated load is determined, including adjustment, control, and hybrid strategies; the control strategies are classified according to applicable scenarios to obtain a classification result. This method can improve the renewable energy absorption capacity, reduce system operating costs, and improve the economic efficiency of system operation.

The application is based on the demand side resource automatic coordination method and system of the iterative nearest point algorithm, which comprises: establishing a controllable load model; determining a dynamic electricity price strategy, and publishing the demand response electricity price to each controllable load after initializing the dynamic electricity price strategy according to the fixed load; each controllable load updates the optimal power consumption with the lowest electricity cost after receiving the demand response electricity price information; updating the demand response electricity price according to the optimal power consumption with the lowest electricity cost of each controllable load participating in the demand response; judging whether the demand response process meets the convergence criterion according to the updated optimal power consumption until the iteration reaches the upper limit or the difference between the sum of the optimal power consumptions of all controllable loads before and after the update is smaller than the given error, and then determining the current result. The system comprises a modeling module, a data processing module, a data updating module and a result judging module. The application can guarantee the safe operation and economic efficiency of the power system.

The invention relates to the technical field of power grid regulation and control evaluation, in particular to a multi-emerging main body aggregation participation system regulation potential quantitative evaluation method. The method comprises the following steps: constructing a time factor evaluation sub-model, a price factor evaluation sub-model and a physical factor evaluation sub-model through three dimension factors of a time factor, a price factor and a physical factor, wherein the time factor evaluation sub-model is constructed by adopting the characteristic that the regulation potential of an emerging subject is attenuated along with the approaching of transaction time; the price factor evaluation sub-model is constructed for a price response function; the physical factor evaluation sub-model determines the weight of each physical parameter by adopting a subjective and objective comprehensive evaluation method, and performs comprehensive sorting construction by utilizing a grey relational analysis method; three dimension factors are aggregated to establish a demand side resource aggregation model with market revenue maximization as a target, and multi-emerging subject aggregation participates in quantitative evaluation of system regulation potential. According to the invention, the accuracy and comprehensiveness of the evaluation result can be effectively improved.

The application relates to a power spot market layered marginal pricing method considering user side affordability, which comprises the following steps: step 1: in the premise of known unit combination results, the application is not based on the non-convex characteristics such as unit start-stop, and based on the data declared by the power supply and demand sides, a power spot market multi-period economic dispatching model is constructed to provide a basis for the following marginal pricing model; step 2: in view of the problem that node marginal pricing leads to excessive payment of users, the application proposes a layered marginal pricing method for different types (different cost levels) of units; step 3: in view of the effectiveness verification problem of the layered marginal pricing method; the application has the advantages of adopting the layered marginal pricing method, optimizing the pricing of units in layers, and reducing the total payment of the user side.

The invention relates to a virtual power plant unit output control method considering improved demand response, and the method comprises the steps: S1, collecting the output of each unit and the historical data of each influence factor, and carrying out the prediction based on the historical data, and obtaining the output of each unit and the first prediction data of each influence factor in the next day; s2, the predicted output of each unit in the next day and first prediction data of each influence factor are substituted into a pre-configured day-ahead optimization model, and in the day-ahead optimization model, the lowest demand response cost is obtained based on the consumption surplus value, and the carbon emission cost is obtained based on the carbon intensity; s3, the day-ahead optimization model is used for solving to obtain an output time sequence of each unit in the next day, and each element in the time sequence corresponds to each time period of the next day; and S4, on the basis of the second prediction data of each influence factor, combining the obtained output time sequence of each unit, and performing intra-day optimization to obtain the output of each unit. Compared with the prior art, the method has the advantages that the influence of the demand side resource response on the system scheduling result is effectively reflected through the change trend of the electric quantity transaction volume, so that the economy and the safety are improved.

The invention provides an industry carbon quota intelligent optimization distribution method and device. The method comprises the steps that firstly, an industry energy consumption structure of a target area is obtained, and the target area is disassembled into scale speed increase, energy efficiency improvement rate and multi-energy variety electrification transformation quantity parameters; respectively calculating an industry energy efficiency improvement and electrification transformation marginal cost function and an economic development influence function; the demand side transformation cost and the supply side transformation cost are generated before combination, and a supply side transformation cost function is called; establishing a supply-demand double-side cost integrated nonlinear programming model containing demand side and supply side transformation cost and an economic development influence function; and solving the model, and outputting an optimal carbon quota allocation scheme. According to the invention, economic preferential selection is realized, an easy-to-implement, scientific and reasonable distribution mode is formed, and emission reduction and economic development are effectively balanced.