Network Server Allocating Power Reduction by Load Priority
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Solution Overview
Problem
Existing power management systems lack an efficient method to distribute power reduction across multiple consumers, leading to potential unfairness and inefficiency in responding to power curtailment signals from the grid.
Innovation Solution
A power management system comprising multiple power management apparatuses connected to a network server, where each apparatus transmits power consumption data and curtailment signals, allowing the server to allocate specific power reduction amounts based on load categories and consumer contracts, prioritizing lower-priority loads for reduction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If the power company transmits a power curtailment signal to each power management apparatus to reduce total power consumption, then the overall power consumption is reduced, but the distribution of power reduction among consumers becomes unfair and inefficient
Solution Approach 1:
The patent introduces a network server as an intermediary between the power company and individual power management apparatuses. The server receives curtailment signals and consumer power information, then calculates and distributes optimized reduction targets to each consumer. This intermediary role enables fair and efficient power reduction distribution while maintaining overall energy conservation goals.
2Ease of operation
If the power company manages individual usage data for each consumer to allocate power reduction fairly, then fairness improves, but the system complexity and management burden increase
Solution Approach 1:
The patent merges the data collection and calculation functions into a centralized network server. Individual power management apparatuses transmit their power information to the server, which then performs the complex allocation calculations. This consolidation reduces the management burden on the power company while maintaining fairness through centralized, transparent calculation.
3Loss of energy
If the power curtailment signal specifies a large reduction amount to ensure sufficient power conservation, then energy loss reduction is achieved, but the reduction signal exceeds the necessary level causing unnecessary consumer burden
Solution Approach 1:
The patent dynamically adjusts the power reduction parameters for each consumer based on their specific power information, load characteristics, and historical usage patterns. The network server calculates optimized reduction targets that achieve sufficient power conservation while adapting to individual consumer needs, avoiding excessive reduction requirements.
Data Source
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AI summary
A power management system comprises a plurality of HEMSs 10 and CEMSs 40. The CEMS 40 receives, from each HEMS 10, power information including the amount of power consumed by a load connected to each HEMS 10. The CEMS 40 transmits, to each HEMS 10, reduction information including the amount of power that should be reduced in each consumer, in response to a curtailment signal and the power information.