新型电力系统市场运行下面向多元负荷需求的电力零售套餐组合优化模型

张硕; 庞麓鸣; 李英姿; 王雨欣; 贺运政

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电力建设 ›› 0

新型电力系统市场运行下面向多元负荷需求的电力零售套餐组合优化模型

张硕¹, 庞麓鸣¹, 李英姿³, 王雨欣¹, 贺运政²

作者信息 +

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

Author information +

文章历史 +

摘要

【目的】为推进全国统一电力市场建设,提升电力零售市场资源优化配置能力,本文开展面向多元负荷需求的电力零售套餐研究,【方法】构建了新型电力系统市场运行下面向多元负荷需求的电力零售套餐组合优化模型。首先建立多元负荷参与的零售套餐交易架构,基于典型用户日负荷曲线设计多样化火电和绿电互补零售套餐;其次,构建零售套餐组合上下层模型,上层以零售商收益最大化为目标优化套餐价格,下层最小化用户购电成本得出套餐选择决策,并应用遗传算法进行求解。最后,选取典型用户进行案例分析,得出套餐定价结果、电量分配结果以及用户负荷调整情况。【结果】相较于单一种类套餐,零售商利润分别提升60.84%、58.76%、62.90%、2.25%,用户整体支出降低了3.24%、4.33%、2.14%、2.34%,与仅考虑火电套餐相比,本文模型可使用户成本降低7.28%,零售商利润提升32.60%。此外,对用电需求、批发电价等因素进行敏感性分析,用电需求对零售商收益和用户成本影响更加显著。【结论】研究结果表明所提模型能够精确反映用户实际用电需求,有助于提升新能源消纳能力,充分降低用户成本并提升零售商收益,为解决能源零售套餐单一化问题,实现售电方和用户方互利共赢提供有益参考。

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.

导出引用

张硕, 庞麓鸣, 李英姿, 王雨欣, 贺运政. 新型电力系统市场运行下面向多元负荷需求的电力零售套餐组合优化模型[J]. 电力建设. 0

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

中图分类号： TM73

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