Retail Package Combination Optimization Model for Multi-load Demands under Marketing-based New-Type Power System

ZHANG Shuo; PANG Luming; LI Yingzi; WANG Yuxin; HE Yunzheng

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Retail Package Combination Optimization Model for Multi-load Demands under Marketing-based New-Type Power System

ZHANG Shuo¹, PANG Luming¹, LI Yingzi³, WANG Yuxin¹, HE Yunzheng²

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Abstract

[Objective] In order to build the unified national electricity market and enhance the ability of the retail electricity market to optimize the allocation of resources, this paper carries out a study on electricity retail packages for multi-load demands, [Methods] and constructs a retail package combination optimization model for multi-load demands under marketing-based new-type power system. Firstly, a retail package trading structure with multiple load is established. And based on the daily load curves of typical users, diversified thermal and green power retail packages are designed. Secondly, a bi-level model for retail package combinations is con-structed. In the upper model, the package price is optimized with the goal of maximizing the revenue of the electricity retailer; the lower model minimizes the customer's cost of purchasing electricity and makes the decision of the package option. And genetic algorithm is applied for solving. Finally, typical users are selected for case studies to analyze package pricing results, power allocation results, and user load adjustments. [Results] Compared to the single type of package, retailer profits can improve by 60.84%, 58.76%, 62.90%, and 2.25%, respectively, and user total costs decrease by 3.24%, 4.33%, 2.14%, and 2.34%. The model proposed leads to a 7.28% reduction in user costs and a 32.60% improvement in retailer profits compared to considering only thermal power packages. In addition, the sensitivity analyses in terms of electricity demand and whole-sale tariffs are conducted. Electricity demand has a more significant impact to retailer profits and user costs. [Conclusions] The results show that the proposed model can accurately reflect the actual electricity demand of users and help to enhance the capacity of new energy consumption, fully reduce the cost of users and increase the retailer profits. It provides useful references for solving the issue of the homogenization of retail packages and forming a mutually beneficial and win-win result for both the electricity retailer and the customer.

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load characteristics / retail package pricing / green electricity trading / bi-level optimization model

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ZHANG Shuo, PANG Luming, LI Yingzi, WANG Yuxin, HE Yunzheng. Retail Package Combination Optimization Model for Multi-load Demands under Marketing-based New-Type Power System[J]. Electric Power Construction. 0

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