摘要
针对虚拟电厂技术在能源市场交易策略方面的问题,综合需求响应与虚拟电厂技术,提出一种基于上下层双阶段的电-热能源市场交易策略.下层交易以虚拟电厂及机组设备的收益最大化为目标,优化投标量;上层交易以市场所购能源总成本最小为目标,优化价格;上下层交易策略通过信息交互基于供需平衡调整价格和投标量,最终达成交易.仿真算例验证了所提交易策略在促进风电消纳和保障系统优化运行方面的优越性.研究结果表明:所提出的交易策略,充分考虑了电、热、储能,电、热系统综合需求响应等系统约束,实现虚拟电厂内各部分组件的协调出力,促进风电消纳和保障系统的优化运行.
The current research on virtual power plant technology is mainly focused on its optimization operation and scheduling strategy,and there is still no research on its trading strategy in the energy market.In order to solve this problem,this paper combines the demand response and virtual power plant technology,and proposes a two-stage electric-thermal energy market trading strategy based on the upper and lower layers.The lower-level transaction aims at maximizing the revenue of VPP and unit equipment,and optimizes the bidding amount;the upper-level transaction aims to optimize the price with the minimum total cost of energy purchased by the market;the upper-lower trading strategy adjusts the price and bid amount based on supply and demand balance through information exchange,and finally reaches the deal.A simulation example is given to verify the superiority of the proposed trading strategy in promoting wind power consumption and ensuring optimal operation of the system.The proposed trading strategy fully considers the system constraints such as electricity,heat,energy storage,electrical and thermal system comprehensive demand response,and can realize the coordinated output of various components in the virtual power plant,and promote the optimal operation of wind power consumption and guarantee system.
作者
陈刚
那广宇
王琛淇
李成伟
周喆
王鑫
王嘉媛
黄博南
CHEN Gang;NA Guangyu;WANG Chenqi;LI Chengwei;ZHOU Zhe;WANG Xin;WANG Jiayuan;HUANG Bonan(Fuxin Power Supply Company,State Grid Liaoning Electric Power Supply Company Limited,Fuxin 123000,China;State Grid Liaoning Electric Power Supply Company Limited,Shenyang 110004,China;College of Information Science and Engineering,Northeast University,Shenyang 110819,China)
出处
《辽宁工程技术大学学报(自然科学版)》
CAS
北大核心
2021年第1期64-71,共8页
Journal of Liaoning Technical University (Natural Science)
基金
国网辽宁省电力有限公司阜新供电公司科技项目(2019YF-53)
关键词
虚拟电厂
市场交易
需求响应
储能
风电消纳
virtual power plant
bidding strategy
demand respond
energy storage
wind power consumption