Priority Load Scheduling Under Utility Demand Thresholds
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Solution Overview
Problem
Existing electrical load management systems fail to efficiently manage multiple electrical loads to ensure that the total load request does not exceed a demand threshold, leading to potential monetary charges from utility companies.
Innovation Solution
An electrical load management system that includes a local power generator, a main electrical service panel, and a load management computer to prioritize and control electrical loads based on their priority levels, ensuring that the total load request remains below a demand threshold by selectively energizing or de-energizing loads as needed, utilizing a load priority system and considering energy charges from the utility company power grid.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If all electrical loads are energized to meet user needs, then customer satisfaction and utility are improved, but the total load request may exceed the demand threshold resulting in monetary charges
Solution Approach 1:
The system segments electrical loads into different priority groups (critical, important, desirable) and applies different control strategies to each segment. Critical loads are always energized, important loads are energized when beneficial, and desirable loads are energized only when beneficial and capacity is available. This segmentation resolves the contradiction by allowing selective energization that maintains customer satisfaction for essential loads while avoiding monetary charges through intelligent management of non-essential loads.
Solution Approach 2:
The system dynamically adjusts the energization state of electrical loads based on real-time conditions including available capacity, demand threshold proximity, and load priority. The load management computer continuously monitors the total load request and dynamically switches loads on or off to maintain operation below the demand threshold while maximizing utility. This dynamic control resolves the contradiction by adapting load energization to changing system conditions.
2Object-affected harmful factors
If electrical loads are selectively de-energized to stay below demand threshold, then monetary charges are avoided, but customer convenience and utility may deteriorate
Solution Approach 1:
The system applies different quality levels of service to different loads based on their priority classification. Critical loads receive guaranteed service with no de-energization, important loads receive preferential treatment being energized first when capacity is constrained, and desirable loads are the first to be de-energized when necessary. This local differentiation of service quality resolves the contradiction by ensuring customer convenience is maintained for essential loads while accepting reduced convenience for non-essential loads to avoid monetary charges.
Solution Approach 2:
The system performs preliminary classification of loads into priority groups before demand management is needed. This advance organization allows the system to quickly make optimal decisions when capacity constraints arise, energizing or de-energizing appropriate loads without disrupting customer convenience for essential services. The preliminary segmentation resolves the contradiction by pre-establishing a hierarchy that protects customer convenience where it matters most.
3Measurement precision
If the system monitors and controls multiple electrical loads in real-time, then load management precision is improved, but system complexity increases
Solution Approach 1:
The system divides the control function into distinct modules: a monitoring component that tracks total load request and demand threshold, a classification component that categorizes loads by priority, and a control component that executes energization/de-energization decisions. This segmentation of control functions achieves precise load management while containing system complexity through modular design, with each module having a specific, simplified role.
Solution Approach 2:
The load management computer serves as an intermediary between the electrical loads and the demand threshold constraint. It receives status information from loads, processes this information against predefined priority rules and threshold criteria, and generates control signals to appropriate loads. This intermediary approach achieves precise load management by centralizing the decision-making logic, avoiding the need for complex distributed control while maintaining measurement precision through continuous monitoring.
Data Source
AI summary
An electrical load management system for controlling first, second, and third electrical loads is provided. A load management computer determines a demand threshold indicating a threshold amount of demanded power from a utility company power grid. The computer determines whether a time interval has an associated non-peak energy charge. And if so, then the computer determines whether a first total load request from the first, second, and third electrical loads will exceed the demand threshold. And if so, then the computer determines whether a second total load request from the first and second electrical loads having high and medium load priorities, respectively, will exceed the demand threshold. And if not, then the computer commands the first and second electrical loads to be energized for the predetermined time interval.


