Future-State Power Grid Model Construction via Multi-Period Equipment Planning
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Solution Overview
Problem
Current short-term and long-term simulation methods for power grid dispatching fail to adequately consider equipment commissioning, retirement, and power-off plans, leading to an inability to meet the requirements of future multi-period power grid dispatching planning.
Innovation Solution
A method for constructing a future-state power grid model that integrates equipment commissioning, retirement, and power-off plans into a comprehensive model, using a current power grid model, equipment addition and retirement plans, and power-off plans to form initial network models, which are then used to construct a future-state network model, considering the state changes over time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If short-term simulation is used considering current power grid model and equipment overhauling plan, then the simulation can be performed with available data, but it cannot meet the long-term dispatching planning requirement for future multi-period power grid
Solution Approach 1:
The patent applies dynamics by transitioning from static short-term simulation to dynamic multi-period simulation. The system dynamically updates the power grid model across multiple time periods (T1, T2, T3, T4) to reflect equipment commissioning, retirement, and power-off plans, enabling accurate long-term dispatching planning while maintaining simulation reliability through progressive model evolution.
Solution Approach 2:
The patent uses preliminary action by pre-planning equipment commissioning, retirement, and power-off schedules before performing long-term simulation. These preliminary plans are integrated into the multi-period power grid model construction, allowing the simulation to account for future equipment states without requiring real-time data updates during the simulation period.
2Duration of action of moving object
If long-term simulation is used considering main grid equipment with maximum and minimum manner calculation, then the simulation covers future time periods, but it does not involve detailed models for different periods and cannot meet dispatching planning requirements
Solution Approach 1:
The patent applies segmentation by dividing the long-term simulation period into multiple discrete time periods (T1, T2, T3, T4), each with its own detailed power grid model. This segmentation allows the system to maintain high model detail precision for each period while covering the entire long-term horizon, enabling accurate dispatching planning for each specific time period rather than using coarse maximum-minimum calculations.
Solution Approach 2:
The patent adds the time dimension to the power grid model by constructing multi-period models that evolve through time. This dimensional transformation from static single-period models to dynamic multi-period models enables the system to capture temporal variations in equipment status and grid configuration, providing the detailed precision needed for dispatching planning across different future periods.
3Reliability
If equipment addition, retirement and power-off plans are comprehensively considered in future-state power grid model construction, then the model integrity and accuracy are improved, but the model complexity and construction difficulty increase
Solution Approach 1:
The patent manages construction complexity by segmenting the model construction process into distinct phases corresponding to different time periods. Each period's model is constructed by applying equipment plans (addition, retirement, power-off) to the previous period's model, breaking down the complex comprehensive consideration into manageable sequential steps rather than attempting to process all changes simultaneously.
Solution Approach 2:
The patent reduces construction complexity by performing preliminary processing of equipment addition, retirement, and power-off plans before model construction. These plans are prepared and organized in advance, allowing the system to systematically apply them to generate each period's model without dealing with the full complexity of all equipment changes at once, thereby maintaining model integrity while managing construction difficulty.
Data Source
AI summary
Embodiments provide a method for constructing a future-state power grid model and device, including that: a current power grid model, an equipment power-off plan, an equipment retirement plan and an equipment addition plan are acquired; then, equipment is added according to the current power grid model, and an added equipment information set, a retired equipment information set and a powered-off equipment information set are determined according to the equipment addition plan, the equipment retirement plan and the equipment power-off plan respectively; and finally, a state of the added equipment is set to be an operating state, an initial network model of each period is formed according to a time sequence, and a future-state network model is constructed according to the added equipment information set, the retired equipment information set, the powered-off equipment information set and the initial network models. The embodiments further provide construction equipment and a storage medium.