3results about How to "Solve planning problems" patented technology

This invention provides a method and apparatus for distribution network planning, relating to the field of new energy power generation technology. The method for distribution network planning includes: acquiring current distribution network parameters; determining a two-layer model of the distribution network system based on these parameters; wherein the upper-layer model of the two-layer model is constructed based on new energy investment inputs, green certificate trading costs, and carbon emission trading costs, while the lower-layer model is constructed based on distribution network operation problems; transforming the opportunity constraints of the upper-layer model into deterministic constraints, and constructing KKT conditions based on the lower-layer model; merging the deterministic constraints, KKT conditions, and the original constraints of the lower-layer model into the upper-layer model to generate a solution model; and determining the optimal system planning and operation scheme for the current distribution network based on the solution model, and configuring the distribution network accordingly. This method enables distribution network planning and operation while simultaneously considering new energy unit investment decisions, carbon emission trading, and green electricity certificate trading.

This invention relates to a collaborative configuration method and system for regional integrated energy systems that considers source-load fluctuations and high autonomy, belonging to the field of integrated energy system planning technology. It aims to address the problems of existing technologies failing to effectively handle uncertainties on both the source and load sides, the disconnect between planning and operation phases, and the lack of quantitative consideration of system autonomy capabilities. The technical solution includes constructing a multi-energy coupling architecture, modeling source-load uncertainties and generating multiple typical scenarios, establishing an integrated demand response model for electricity, heat, and cooling, designing a two-level stochastic programming model based on scenario analysis, and employing a hybrid optimization strategy for solution. This invention can significantly improve system robustness and reliability, reduce carbon emissions, enhance energy autonomy, optimize economics, and improve the supply-demand balance of multi-energy loads.

The application discloses to belong to the technical field of power system planning and optimization, and particularly relates to an optimization method for distributed power generation and energy storage joint planning in an active distribution network, comprising: a double-layer robust planning model considering new energy output uncertainty is established, SOT is used to discretize the probability distribution of wind power and photovoltaic into a probability sequence and calculate the expected output, and an uncertainty processing mechanism is embedded to guide DG and energy storage capacity configuration; a DG and energy storage joint optimization model based on a double-layer planning framework is constructed, the upper layer optimizes site selection and capacity determination with the minimum annual total cost as the target, the lower layer optimizes energy storage scheduling with the minimum daily operation cost as the target, and planning and operation are coordinated; an improved BPSO monitoring population fitness variance based on chaos optimization is proposed, and Tent mapping chaos disturbance is dynamically introduced to realize efficient solution and global optimization of the model. On the PG&E 69 bus system, line loss can be reduced, voltage distribution can be improved, and new energy consumption capacity can be significantly improved.