基于系统工程方法论的分布式发电系统动态定价决策

管理评论 ›› 2020, Vol. 32 ›› Issue (7): 205-216.

基于系统工程方法论的分布式发电系统动态定价决策

代业明¹, 高红伟², 王宝慧³, 李陆²

1. 青岛大学商学院, 青岛 266071;
2. 青岛大学数学与统计学院, 青岛 266071;
3. 山东大学数学学院, 济南 250100

收稿日期:2019-07-22 出版日期:2020-07-28 发布日期:2020-08-08
通讯作者: 高红伟(通讯作者),青岛大学数学与统计学院教授,院长,博士
作者简介:代业明,青岛大学商学院副教授,博士;王宝慧,山东大学数学学院硕士研究生;李陆,青岛大学数学与统计学院硕士研究生。
基金资助:
国家自然科学基金项目（71571108）；教育部人文社会科学研究规划基金项目（20YJA630009）；中国博士后科学基金项目（2016M602104）；青岛市博士后应用研究项目（2016033）

Dynamic Pricing Decision of Distributed Power Generation System Based on System Engineering Methodology

Dai Yeming¹, Gao Hongwei², Wang Baohui³, Li Lu²

1. School of Business, Qingdao University, Qingdao 266071;
2. School of Mathematics and Statistics, Qingdao University, Qingdao 266071;
3. School of Mathematics, Shandong University, Jinan 250100

Received:2019-07-22 Online:2020-07-28 Published:2020-08-08

摘要/Abstract

摘要： 分布式光伏发电系统盈余电力的出售对于优化电力供需、保证电网稳定运行具有良好的补充作用。为研究分布式发电系统中光伏发电用户群内部动态定价机制，从系统管理视角出发，基于系统工程方法论的分析框架和系统决策方法，提出一种分布式光伏用户群内部动态定价的博弈决策方法，并通过引入罚函数设计分布式算法求解，最后进行系统仿真和灵敏度分析。仿真结果表明：分布式发电系统的网络空间距离、资源约束和用户用电偏好会直接影响光伏用户群内部定价的决策结果；同时售电光伏用户的产能和主网回购电价是影响光伏用户群内部直接动态定价的敏感性要素。研究结果丰富了电力系统尤其是分布式电力系统定价机制的范畴，为可再生能源并网提供了可行的探索和指导。

关键词: 系统工程方法论, 分布式发电, 动态定价, 博弈, 分布式算法

Abstract: The sale of surplus power in distributed photovoltaic power generation system plays a good complementary role in optimizing power supply and demand and ensuring the stability of power grid. For studying the internal dynamic pricing mechanism of photovoltaic power generation group in distributed power generation system, based on the analysis of system engineering methodology and the system decision method, an internal dynamic pricing game decision method in distributed photovoltaic user group is proposed from the perspective of system management. By introducing a penalty function, a distributed algorithm is designed to solve the game model. Finally the system simulation and sensitivity analysis is carried out. The simulation results show that the network space distance, resource constraints and user preference of distributed power generation system will directly affect the decision result of internal pricing of photovoltaic user group. At the same time, the production capacity of photovoltaic users and the buyback price of main power network are the sensitive factors that affect the direct dynamic pricing of photovoltaic users. The research results enrich the scope of pricing mechanism in power system, especially distributed power system, and provide feasible exploration and guidance for the grid connection of renewable energy.

Key words: systems engineering methodology, distributed power generation, dynamic pricing, game, distributed algorithm

代业明, 高红伟, 王宝慧, 李陆. 基于系统工程方法论的分布式发电系统动态定价决策[J]. 管理评论, 2020, 32(7): 205-216.

Dai Yeming, Gao Hongwei, Wang Baohui, Li Lu. Dynamic Pricing Decision of Distributed Power Generation System Based on System Engineering Methodology[J]. Management Review, 2020, 32(7): 205-216.

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