考虑分布式可再生能源的通证激励机制设计与分散式电力市场研究

doi:10.12204/j.issn.1000-7229.2021.06.004

电力建设 ›› 2021, Vol. 42 ›› Issue (6): 29-43.doi: 10.12204/j.issn.1000-7229.2021.06.004

• 去中心化能源系统规划、运行与互动交易·栏目主持高红均副教授、徐宪东副教授、胡俊杰副教授· • 上一篇下一篇

考虑分布式可再生能源的通证激励机制设计与分散式电力市场研究

白昱阳¹, 张俊¹, 王晓辉², 陈思远¹, 高天露¹, 刘鹏²

1.武汉大学电气与自动化学院,武汉市 430072
2.中国电力科学研究院有限公司,北京市 100192

收稿日期:2020-10-22 出版日期:2021-06-01 发布日期:2021-05-28
作者简介:白昱阳(1997),男,硕士,主要研究方向为布式可再生能源、通证激励机制、电力市场和分布式算法等;|张俊(1981),男,博士,教授,博士生导师,主要研究方向为智能系统、人工智能、知识自动化及其在智能电力和能源系统中的应用等。|王晓辉(1985),男,博士,高级工程师,研究方向为电力系统自动化、综合能源、能源互联网及区块链等关键技术;|陈思远(1993),男,博士,主要研究方向为布式可再生能源、通证激励机制、电力市场和分布式算法等;|高天露(1994), 男,硕士,工程师,主要研究方向为人工智能、自然语言处理和区块链在电力系统运行分析和控制决策中的应用等;|刘鹏(1987),男,硕士,工程师,从事电力大数据平台研发、大数据技术、人工智能技术和互联网化运营平台等方面的研究工作。
基金资助:
中国电力科学研究院有限公司研究开发项目(AI83-20-002)

Research on Incentive Mechanism Design and Decentralized Power Market with Consideration of Distributed Renewable Energy

BAI Yuyang¹, ZHANG Jun¹, WANG Xiaohui², CHEN Siyuan¹, GAO Tianlu¹, LIU Peng²

1. School of Electrical Engineering and Automation, Wuhan University, Wuhan 430072, China
2. China Electric Power Research Institute, Beijing 100192, China

Received:2020-10-22 Online:2021-06-01 Published:2021-05-28

摘要/Abstract

摘要：

可再生能源的大力发展对于优化我国的能源结构,促进能源的可持续发展有重大意义。为促进可再生能源的并网消纳,使可再生能源参与电力市场是一种有效途径。然而,可再生能源的发展依赖于有效的激励机制,现有可再生能源激励政策需要政府的管控,在市场化改革逐渐深入的情况下不能长久适用。针对上述问题,构建了适合可再生能源的分散式电力市场架构,提出了一种完全市场化的可再生能源激励机制,并分析了发电商的出力决策行为。仿真结果表明,所提市场架构和激励机制能有效促进可再生能源参与市场出清。

关键词: 可再生能源, 通证激励机制, 电力市场, 分布式优化

Abstract:

The vigorous development of renewable energy is of great significance for optimizing China’s energy structure and promoting the sustainable development of energy. In order to promote the consumption of renewable energy, it is an effective way to allow it to participate in the electricity market. However, the development of renewable energy relies on an effective incentive mechanism. The existing incentive policies for renewable energy require government control and cannot be applied for a long time when market reforms are gradually deepening. In response to the above problems, this paper constructs a decentralized power market structure suitable for renewable energy, proposes a fully market-oriented renewable energy incentive mechanism, and analyzes the decision-making behavior of power producers. The simulation results show that the proposed market structure and incentive mechanism can effectively promote the participation of renewable energy in the market clearing.

Key words: renewable energy, token incentive mechanism, electricity market, distributed optimization

中图分类号:

TM721

白昱阳, 张俊, 王晓辉, 陈思远, 高天露, 刘鹏. 考虑分布式可再生能源的通证激励机制设计与分散式电力市场研究[J]. 电力建设, 2021, 42(6): 29-43.

BAI Yuyang, ZHANG Jun, WANG Xiaohui, CHEN Siyuan, GAO Tianlu, LIU Peng. Research on Incentive Mechanism Design and Decentralized Power Market with Consideration of Distributed Renewable Energy[J]. ELECTRIC POWER CONSTRUCTION, 2021, 42(6): 29-43.

图/表 22

图1 分散式电力市场运行结构图

Fig.1 Diagram of the operation structure of distributed power market

图2 现货市场通证价格-数量关系图

Fig.2 Relationship between token price and quantity in the spot market

图3 远期市场通证价格-数量关系图

Fig.3 Relationship between token price and quantity in the forward market

图4 某地区电网系统拓扑图

Fig.4 Topology of a regional power grid system

图5 可再生能源机组功率预测值

Fig.5 Power forecast value of renewable energy units

表1 系统中发电资源成本系数

Table 1 Cost coefficient of power generation resources in the power system

图6 市场出清过程迭代过程图

Fig.6 Iterative process diagram of market clearing

图7 节点5的负荷需求曲线

Fig.7 Load demand curve of node 5

图8 全时段市场MCP曲线

Fig.8 MCP curve of 24 hours

图9 2种场景下可再生能源上网比例对市场MCP的影响

Fig.9 Influence of renewable energy ratio on MCP under two scenarios

图10 市场MCP迭代过程变化

Fig.10 Iteration diagram of MCP

表2 仿真参数取值

Table 2 Simulation parameters

图11 ρ=0.05,场景1、2下可再生能源与火电24 h出力情况

Fig.11 Output diagram of renewable energy and thermal generation at 24 hours under Case 1 and Case 2 with ρ=0.05

图12 ρ=0.05,场景2下现货/远期通证价格与发电商出售策略

Fig.12 Diagram of spot/forward prices and strategies of generators at 24 hours under Case 2 with ρ=0.05

图13 ρ=0.05,场景1、2、3下可再生能源出力对比

Fig.13 Output diagram of renewable energy at 24 hours under Case 1, Case 2 and Case 3 with ρ=0.05

图14 ρ=0.10,场景1、2下可再生能源与火电24 h出力情况

Fig.14 Output diagram of renewable energy and thermal generation at 24 hours under Case 1 and Case 2 with ρ=0.10

图15 ρ=0.10,场景2下现货/远期通证价格与发电商出售策略

Fig.15 Diagram of spot/forward prices and strategies of generators at 24 hours under Case 2 with ρ=0.10

图16 ρ=0.10,场景1、2、 3下可再生能源出力对比图

Fig.16 Output diagram of renewable energy at 24 hours under Case 1, Case 2 and Case 3 with ρ=0.10

图17 ρ=0.15,场景1、2下可再生能源与火电24 h出力情况

Fig.17 Output diagram of renewable energy and thermal generation at 24 hours under Case 1 and Case 2 with ρ=0.15

图18 ρ=0.15,场景2下现货/远期通证价格与发电商出售策略

Fig.18 The diagram of spot/forward prices and strategies of generators at 24 hours under Case 2 with ρ=0.15

图19 ρ=0.15,场景1、2、3下可再生能源出力对比图

Fig.19 Output diagram of renewable energy at 24 hours under Case 1, Case 2 and Case 3 with ρ=0.15

表B1 发电商全时段出清发电量

Table B1 Clearing energy of electricity generators in 24 hours MW·h

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考虑分布式可再生能源的通证激励机制设计与分散式电力市场研究

Research on Incentive Mechanism Design and Decentralized Power Market with Consideration of Distributed Renewable Energy

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