An optimization method for peak avoidance strategy of electricity management based on multi-objective programming

Abstract

A power consumption management off-peak strategy optimization method based on multi-objective programming introduces an off-peak influence factor indicator system in terms of economy, safety, environment, service, management and policy and establishes an off-peak optimal selection strategy based on global multi-objective off-peak strategies. The method includes: introducing the multi-factor indicator system to off-peak management to establish a multi-objective comprehensive optimal mathematical model by comprehensively considering the influence of six influence factors upon the off-peak management, and formulating an optimal off-peak management scheme according to solution results. Load curves are descended overall, the negative effect on local economy is low, and power grid economic benefit and customer satisfaction level are maximized. The off-peak scheme is formulated automatically, non-optimal feasible solutions are reduced by enhancing constraint conditions, model solving speed is increased by implicit enumeration method, and time complexity in model solving is lowered effectively.

Description

Technical field [0001] The invention relates to a peak shift strategy optimization method in the field of orderly power consumption management, in particular to a peak avoidance strategy algorithm optimization method based on multi-objective planning. Background technique [0002] As one of the management methods on the demand side of power grid operation, peak staggering can effectively reduce the peak power load and ensure the safe operation of the power grid during peak periods. Peak shifting can choose to avoid peaks or shift peaks. The purpose is to make the periodically fluctuating grid load more balanced and optimize the allocation of power resources. However, the implementation of staggered peaks will also have an adverse impact on the regional industrial production and economic development, severely restrict the production capacity of the company, disrupt the production plan of the company, and cause lower user satisfaction. In recent years, as global energy tensions co...

AI Technical Summary

Problems solved by technology

However, most of the current peak staggering management is only carried out to meet the regulation and control indicators of electricity consumption. When selecting companies for shifting holidays, the selection method is relatively extensive, without comprehensive consideration of the impact of economic and environmental factors, and without consideration of investing limited power resources in the society. and the areas that contribute the most to the market

Moreover, it is only for the purpose of meeting the electricity consumption control index, and cannot reflect the economic benefits of the power grid, the actual situation of enterprise employment, etc., and lacks an overall optimal selection strategy for peak shifting

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