Cascade Hydro-PV Scheduling for Peak Load Balancing
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Solution Overview
Problem
Current methods for optimal scheduling of grid-connected photovoltaic power generation systems fail to effectively utilize the peak regulation capabilities of cascade hydro-power stations, as they do not consider unit commitment and synergistic peak regulation between hydro-power units and photovoltaic power stations, leading to inefficiencies in matching renewable energy output with load demands.
Innovation Solution
An optimal scheduling method is developed for a cascade hydro-photovoltaic complementary power generation system, which establishes a mixed integer linear model incorporating unit commitment and photovoltaic power station output constraints, considering uncertainty and hydro-power station characteristics to minimize maximum residual load in the grid, using linear processing and McCormick convex envelope relaxation to convert constraints into linear forms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If photovoltaic power generation is expanded to increase renewable energy capacity, then renewable energy utilization is improved, but the randomness and volatility of photovoltaic output makes it difficult to match load demands
Solution Approach 1:
The patent combines photovoltaic power generation with cascade hydro-power stations to form a complementary power generation system. The hydro-power stations compensate for the intermittency and volatility of photovoltaic output by providing flexible regulation capacity, thus maintaining high renewable energy utilization while ensuring output stability matches load demands.
Solution Approach 2:
The patent changes the operational parameters of hydro-power generating units dynamically to match photovoltaic output and load demands. By adjusting generation output, water flow, and reservoir levels in real-time, the system absorbs photovoltaic variability and provides stable combined output.
2Adaptability or versatility
If cascade hydro-power stations are used for peak regulation, then peak regulation capacity is improved, but the complexity of unit commitment and coordinated scheduling increases
Solution Approach 1:
The patent segments the cascade hydro-power station into multiple independent generating units, each with its own commitment decisions. This allows flexible configuration of regulation capacity by selectively activating units based on peak regulation needs, while the modular structure simplifies the overall scheduling complexity through hierarchical decomposition.
Solution Approach 2:
The patent implements dynamic unit commitment and coordinated scheduling that adapts to real-time photovoltaic output and load conditions. The scheduling system dynamically adjusts hydro-power unit states (on/off, generation levels) and water flow allocation across cascade stations, transforming the static complex system into a dynamically optimized one that responds to changing conditions.
3Reliability
If hydro-power units are activated to compensate for photovoltaic volatility, then grid stability is improved, but water resource allocation and reservoir management become more complex
Solution Approach 1:
The patent makes the cascade hydro-power system multi-functional by simultaneously using it for peak regulation, photovoltaic complementarity, water resource allocation, and reservoir management. A unified scheduling model integrates all these functions, reducing overall system complexity despite the multiple objectives by finding optimal solutions that satisfy all constraints simultaneously.
Data Source
AI summary
Disclosed is an optimal scheduling method for peak regulation of a cascade hydro-photovoltaic complementary power generation system. The method includes: establishing an objective function of optimal scheduling for peak regulation of the cascade hydro-photovoltaic complementary power generation system; establishing a photovoltaic power station output constraint condition considering uncertainty; optimizing a mixed integer linear model by performing linear processing on the constraint condition; and obtaining a scheduling solution by solving the mixed integer linear model. According to the present disclosure, a unit commitment of a hydro-power station and an operational solution of a reservoir are considered, so that photovoltaic output can be consumed by fully using a characteristic that the hydro-power unit is easy to regulate, and a demand for peak regulation of a power grid can be satisfied.