Regional Energy Pricing and Management Strategies for Promoting User-side Energy Transition

Yizheng WANG; Kaiyuan PANG; Fushuan WEN; Yusheng XUE; Yikai SUN; Meijin GAO

doi:10.7500/AEPS20200327001

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Regional Energy Pricing and Management Strategies for Promoting User-side Energy Transition

Energy Transition and Power Support | 更新时间：2025-06-16

- Regional Energy Pricing and Management Strategies for Promoting User-side Energy Transition
- Automation of Electric Power Systems Vol. 44, Issue 16, Pages: 21-29(2020)
- 作者机构：
  
  1.浙江大学电气工程学院，浙江省杭州市 310027
  2.南瑞集团有限公司(国网电力科学研究院有限公司)，江苏省南京市 211106
  3.国网浙江省电力有限公司经济技术研究院，浙江省杭州市 310000
- 作者简介：
- 基金信息：
  
  National Natural Science Foundation of China-Shanxi Coal Based Low Carbon Joint Fund
- DOI：10.7500/AEPS20200327001
  CLC：
- Received：27 March 2020，
  
  Revised：2020-06-20，
  
  Published Online：24 July 2020，
  
  Published：25 August 2020
- 稿件说明：
移动端阅览
王一铮,庞凯元,文福拴等.促进用户侧能源转型的区域能源定价与管理策略[J].电力系统自动化,2020,44(16):21-29.

WANG Yizheng,PANG Kaiyuan,WEN Fushuan,et al.Regional Energy Pricing and Management Strategies for Promoting User-side Energy Transition[J].Automation of Electric Power Systems,2020,44(16):21-29.
王一铮,庞凯元,文福拴等.促进用户侧能源转型的区域能源定价与管理策略[J].电力系统自动化,2020,44(16):21-29. DOI： 10.7500/AEPS20200327001.

WANG Yizheng,PANG Kaiyuan,WEN Fushuan,et al.Regional Energy Pricing and Management Strategies for Promoting User-side Energy Transition[J].Automation of Electric Power Systems,2020,44(16):21-29. DOI： 10.7500/AEPS20200327001.

摘要

用户侧能源转型以终端电能替代和分布式可再生能源开发利用为主要途径，能够促进能源系统向清洁、低碳方向发展。在促进用户侧能源转型的背景下，研究了含多个决策主体的区域能源定价与管理策略。首先基于Stackelberg博弈提出了多主体交互的区域能源定价与管理机制。然后，基于用户收益对有限理性用户的激励特性，构建了包含能源供应者(ES)与多个用户代理(UA)的双层优化决策模型。在所构建的模型中，上层ES确定从能源生产者处购能的策略、所拥有设备的运行状态和能源价格，决策目标是出售能源的利润最大与出售化石能源的惩罚成本最小；下层各个UA分别根据能源价格配置电能替代设备，并调整用能策略，决策目标是各自投资与用能成本最低。接着，应用KKT（Karush-Kuhn-Tucker）条件以及强对偶理论、增量法、互补松弛条件转化方法，将非凸非线性的双层优化问题转化为单层的混合整数线性规划问题。最后，以某含有居民取暖热负荷、工业热负荷、燃油汽车和光伏发电资源的区域为例，说明所提策略的可行性与有效性。

Abstract

The user-side energy transition takes electric energy substitution in consumption of end energy and the development and employment of distributed renewable energy generation as the main ways，which can promote the energy system to develop in a clean and lower-carbon way. In the background of promoting user-side energy transition

the regional energy pricing and management strategies containing multiple decision entries are addressed. Firstly， a mechanism for energy pricing and management is proposed based on the Stackelberg game considering the interactions among multiple decision entities. Secondly， a bi-level optimization model with an energy supplier (ES) and multiple user agents (UAs) included is established based on the incentives of user profits to bounded-rational UAs. In the presented model， the ES in the upper layer determines the energy procurement strategy from the energy producer， and operation states of self-owned devices as well as regional energy prices， with the objectives of maximizing the profits of energy sales and minimizing penalty costs of fossil energy sales. Each UA in the lower layer invests devices and adjusts energy consumption strategies according to energy prices， with an objective of minimizing the costs of investment and energy purchasing. Thirdly

this non-convex and non-linear bi-level optimization model is transformed into a mixed integer liner programming problem， by applying the Karush-Kuhn-Tucker (KKT) optimality condition， the strong duality theory

the incremental method and relaxation technology. Finally， an example of a certain region including residential heat load， industrial heat load， fossil-fueled vehicles and photovoltaic generation is employed to demonstrate the feasibility and effectiveness of the proposed method.

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