Hydro-Wind-Solar Dispatching for Flexibility Demand Uncertainty
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Solution Overview
Problem
The challenge lies in accurately quantifying the flexibility demand in power systems with a high proportion of intermittent renewable energy sources like wind and solar, which is dynamic and uncertain, and requires effective coordination to maintain system stability and enhance clean energy consumption.
Innovation Solution
A method that uses quantile points to convert wind and solar power output into continuous intervals, generating scenario sets and calculating flexibility demands, coupled with a hydro-wind-solar complementary optimal dispatching model to meet the minimum system flexibility expectations, utilizing mixed-integer linear programming to optimize power generation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If standby capacity reservation is used to cope with wind and solar power uncertainties, then system reliability is improved, but system cost increases significantly
Solution Approach 1:
The patent changes the parameter of flexibility quantification from deterministic to stochastic by introducing probability distributions and scenario analysis. This allows the system to optimize standby capacity based on actual uncertainty levels rather than over-provisioning, reducing system costs while maintaining reliability.
Solution Approach 2:
The patent implements dynamic flexibility evaluation that adapts to changing wind and solar output conditions. By continuously updating scenario probabilities and flexibility demands based on real-time conditions, the system optimizes standby capacity dynamically rather than using fixed reservations, reducing unnecessary costs.
2Ease of manufacture
If deterministic flexibility quantification is used, then calculation simplicity is improved, but accuracy of flexibility demand assessment deteriorates
Solution Approach 1:
The patent segments the continuous uncertainty space into discrete scenarios using quantile points. This segmentation transforms the complex stochastic problem into manageable discrete cases that can be evaluated separately, maintaining calculation feasibility while improving accuracy through scenario-based analysis.
Solution Approach 2:
The patent introduces scenario probabilities as an intermediary between deterministic calculations and stochastic reality. These probabilities act as weights that bridge the simple deterministic framework with the complex uncertain environment, enabling accurate flexibility assessment without overwhelming computational complexity.
3Productivity
If large-scale wind and solar power is integrated, then clean energy consumption is improved, but system flexibility demand increases significantly
Solution Approach 1:
The patent develops a universal flexibility evaluation framework that can handle multiple intermittent resources (wind, solar, and other renewable sources) simultaneously. This multi-functional approach allows the system to manage diverse flexibility demands from various clean energy sources through a unified methodology, reducing overall system complexity.
Solution Approach 2:
The patent adds the dimension of probability to the traditional deterministic flexibility assessment. By evaluating flexibility across multiple scenarios with different probabilities rather than a single deterministic case, the system captures the true nature of flexibility demand from large-scale intermittent resources without excessive complexity.
4Stability of the object's composition
If flexibility regulation capacity is increased to maintain system stability, then system stability is improved, but new energy consumption capacity increases
Solution Approach 1:
The patent changes the assessment parameter from deterministic flexibility capacity to stochastic flexibility demand. By matching capacity against probabilistic scenarios rather than fixed values, the system optimizes regulation capacity to meet actual stability needs without over-provisioning, reducing new energy abandonment while maintaining system stability.
Data Source
AI summary
The present invention belongs to the field of power system operations and provides a method for quantifying the flexibility demand and coordinating optimization of a hydro-wind-solar multi-energy complementary system. Firstly, the flexibility demand quantification method considering the uncertainty of wind and solar power output is constructed, and the wind and solar power output interval is divided by using quantile points to generate a set of output scenarios, and then the flexibility demand under each scenario is calculated. Based on the quantitative index of flexibility demand, an optimal operation model of hydro-wind-solar complementary system considering the minimum expectation of system flexibility deficiency is constructed to realize the optimal calculation of hydro-wind-solar complementary. By utilizing an actual wind-hydro complementary system of the Yunnan Power Grid, the model is validated for different new energy access ratios. The results show that the method of the present invention can give a complementary operation and scheduling scheme for multiple types of power sources under different conditions, effectively meet the flexibility demand of the system, reduce the abandoned power and improve the level of clean energy integration.