Load Scheduling Optimizer for Power Distribution Networks
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Solution Overview
Problem
Current power management systems at the distribution level fail to consider dynamic load conditions, leading to inefficiencies and unscheduled power cuts, particularly in rural areas where agricultural and residential loads interact, causing overloading and degradation of power supply quality.
Innovation Solution
A power distribution management system that includes an optimizer to generate optimal load schedules for predetermined classes of loads, using a communication interface to receive and manage power demand information, and derive an optimized power distribution solution, ensuring maximum utilization of power supply quotas while maintaining network stability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If power is distributed to meet peak demand of all loads simultaneously, then power supply reliability is improved, but distribution network overloading occurs and power quality degrades
Solution Approach 1:
The system performs preliminary load scheduling and power distribution optimization before peak demand occurs. The DMS calculates optimal power allocation strategies in advance, considering forecasted demand patterns, and pre-positions power resources to meet upcoming peak demands without causing network overloading.
Solution Approach 2:
The system dynamically adjusts power distribution strategies based on real-time network conditions, actual load demands, and changing environmental factors. The DMS continuously monitors distribution network status and adapts power allocation decisions to maintain reliability while preventing overloading under varying operational conditions.
2Stability of the object's composition
If load scheduling is implemented to prevent overloading, then distribution network stability is improved, but power supply flexibility to individual loads deteriorates
Solution Approach 1:
The system applies differentiated power distribution strategies to different load categories and network segments. Instead of uniform load management, the DMS tailors scheduling policies to specific load types (e.g., critical vs. non-critical loads) and local network conditions, allowing flexible power supply to individual loads while maintaining overall network stability through localized control measures.
3Adaptability or versatility
If dedicated feeders are used for specific load classes, then power management flexibility is improved, but infrastructure complexity and cost increase
Solution Approach 1:
The system enables existing multi-purpose feeders to serve multiple load classes simultaneously through intelligent power allocation. The DMS implements virtual segmentation of feeders, allowing a single physical feeder to function as multiple dedicated feeders for different load classes by dynamically controlling power distribution, thereby achieving the benefits of dedicated feeders without the associated infrastructure complexity and cost.
4Loss of energy
If power distribution is optimized for maximum efficiency, then energy utilization is improved, but responsiveness to dynamic load conditions deteriorates
Solution Approach 1:
The system implements real-time feedback mechanisms where the DMS continuously monitors actual power consumption, network conditions, and load behavior deviations. Based on this feedback, the system dynamically adjusts power distribution strategies to maintain optimal energy utilization efficiency while rapidly responding to changing load conditions, correcting inefficiencies as they occur rather than relying solely on pre-calculated schedules.
Data Source
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AI summary
The invention provides a power distribution management system for optimal power distribution for the predetermined class of loads and other loads. The power distribution management system includes a substation for distributing power supply to a load network, where the load network includes the predetermined class of loads and other loads and the substation includes a plurality of feeders. The power distribution management system includes an optimizer for generating an optimal load schedule for a control period for the predetermined class of loads. The power distribution management system also includes a communication interface for communicating between the plurality of individual loads and/or the optimizer.