Interprovincial Hydropower Scheduling with Peak-Shaving Optimization
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Solution Overview
Problem
The interprovincial hydropower system faces challenges in coordinating long-term operations and peak-shaving demands due to differences in geography, weather, and hydrology among hydropower plants, with existing technologies failing to effectively manage peak power and load regulation across multiple power grids.
Innovation Solution
A method for long-term optimal operations of interprovincial hydropower systems that considers both monthly and hourly generation scheduling, using an optimization model with objectives of maximizing generation production and minimizing the difference rate between peak and valley load, employing the POA-DDDP method and load shedding to optimize hydropower production and transmission.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If long-term monthly generation scheduling is optimized, then total hydropower production is maximized, but the ability to meet daily peak-shaving demands deteriorates
Solution Approach 1:
The patent segments the scheduling problem into two distinct time scales: monthly generation scheduling for total production optimization and daily peak-shaving scheduling for peak demand response. This segmentation allows each time scale to be optimized independently while maintaining coordination between them, resolving the contradiction between maximizing total production and meeting peak-shaving demands.
Solution Approach 2:
The patent introduces a dual-time-scale dimension to the scheduling problem, simultaneously considering monthly and daily time scales. By adding this temporal dimension, the system can optimize long-term production while also addressing short-term peak demands, effectively resolving the contradiction between these two objectives.
2Productivity
If interprovincial hydropower transmission scale is expanded, then power supply capability to recipient grids is improved, but system operation complexity increases
Solution Approach 1:
The patent segments the complex interprovincial system into sending-end and receiving-end subsystems with distinct optimization objectives. The sending-end focuses on maximizing hydropower production while the receiving-end focuses on meeting load demands. This segmentation reduces operational complexity while maintaining high transmission capacity.
Solution Approach 2:
The patent implements a coordinated optimization framework with feedback mechanisms that adjust monthly and daily scheduling based on system performance. This feedback loop enables the large-scale system to self-regulate and maintain optimal operation despite its complexity, resolving the contradiction between transmission scale and operational complexity.
3Adaptability or versatility
If coupled hydraulic and electric connections are established, then power allocation flexibility is improved, but problem description and solution difficulty increase
Solution Approach 1:
The patent separates the coupled hydraulic-electric system into independent hydraulic scheduling and electric power allocation modules. Each module can be optimized separately with its own constraints and objectives, then integrated through coordination mechanisms. This segmentation maintains flexibility while reducing the complexity of problem description and solution.
Data Source
AI summary
The invention that relates to the field of hydropower scheduling presents a method for long-tens optimal operations of interprovincial hydropower system considering peak-shaving demands. It can take full advantage of the differences of hydrological characteristics among hydropower plants on different rivers to implement compensation operations of interprovincial hydropower system. In this operation, typical daily load demands during dry season are considered to optimize the allocation of hydropower production over one year. The purpose is to increase the dispatchable generation capacity for peak demands of power grids. The technology scheme of the invention can be summarized as follows. A multi-objective model of hydropower system operations is established with maximizing generation production and minimizing the difference rate between peak and valley load during dry period. The difference of hydrological characteristics and regulation performance between rivers and plants are utilized to divide all power plants into several groups and their calculation order. A hybrid algorithm that integrating progressive optimality algorithm and discrete differential dynamic programming is presented to optimize monthly reservoir levels of hydropower plants. During optimization, a load reconstruction-based strategy is used to handle time-coupled network security constraints so that feasible hourly generation schedules far peak-shaving are easily obtained. An iterative procedure is executed to obtain the optimal monthly generation schedules and hourly power curves at the typical day of each month. The invention can make full use of the compensation operation characteristics of hydropower plants to meet the demands of coordinating monthly generation production and daily peak power. It is capable of providing the support for interprovincial power transmission and joint operations of China's huge hydropower plants such as Xiluodu and Jinping.