Power Dispatching via Load Transfer Ratios and Immune Algorithms
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Solution Overview
Problem
Current power dispatching systems disproportionately optimize resource allocation on the generation side, leading to significant curtailment of wind and solar energy, necessitating a method that considers both generation and consumption sides to enhance renewable energy consumption and flexibility in power system dispatching.
Innovation Solution
A method that dynamically and economically dispatches a power system by calculating optimal load transfer ratios and grid connection ratios for wind and photovoltaic power, using immune algorithms to minimize system operating costs while ensuring power balance and reserve constraints, and compensating consumers for load transfers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If power dispatching optimizes resource allocation on the generation side, then resource allocation efficiency is improved, but wind and solar energy curtailment increases
Solution Approach 1:
The patent inverts the traditional dispatching approach by shifting optimization focus from the generation side to the consumption side. Instead of determining power allocation based solely on generation capacity, the system allows consumers to actively participate in load transfer decisions, enabling demand-side resources to influence dispatching outcomes and reduce renewable energy curtailment.
Solution Approach 2:
The patent implements a feedback mechanism where consumer responses to load transfer incentives are continuously monitored and fed back into the dispatching optimization process. This enables dynamic adjustment of dispatching strategies based on actual demand-side participation, improving both resource allocation efficiency and renewable energy consumption.
2Loss of energy
If demand-side resources are fully exploited, then renewable energy consumption increases, but system complexity increases
Solution Approach 1:
The patent introduces an intermediary platform that mediates between grid companies and consumers for load transfer transactions. This platform handles the complexity of coordinating demand-side resources, managing incentive distributions, and facilitating communication, thereby enabling renewable energy consumption increases without directly increasing overall system complexity.
3Adaptability or versatility
If load transfer incentives are provided to consumers, then load transfer participation increases, but operating costs increase
Solution Approach 1:
The patent employs parameter changes by dynamically adjusting incentive levels based on system conditions, renewable energy availability, and consumer response patterns. This allows the system to optimize the balance between load transfer participation and operating costs, providing sufficient incentives to drive behavior change while controlling overall expense through adaptive parameter adjustment.
Data Source
AI summary
A method for dispatching a power system based on optimal load transfer ratio and optimal grid connection ratio of wind power and photovoltaic power includes: acquiring load data; drawing a load curve; defining a peak load period, a flat load period and a low load period, and calculating average loads of the peak load period, the flat load period and the low load period before a load transfer; determining value ranges of a peak-low load transfer ratio, a peak-flat load transfer ratio and a flat-low load transfer ratio; establishing an objective function considering generation cost of thermal power unit, wind power purchase cost, PV power purchase cost and compensation cost for consumer load transfer; introducing an immune algorithm to calculate grid connection ratio of wind power, grid connection ratio of PV power, peak-low load transfer ratio, peak-flat load transfer ratio and flat-low load ratio corresponding to a minimum operating cost.