Meeting Corporate Renewable Power Targets

灵活性(工程) 文件夹 启发式 采购 可再生能源 计算机科学 经济 马尔可夫决策过程 微观经济学 启发式 运筹学 环境经济学 数学优化 马尔可夫过程 工程类 财务 统计 数学 管理 人工智能 电气工程 操作系统
作者
Alessio Trivella,Danial Mohseni-Taheri,Selvaprabu Nadarajah
出处
期刊:Management Science [Institute for Operations Research and the Management Sciences]
卷期号:69 (1): 491-512 被引量:16
标识
DOI:10.1287/mnsc.2022.4354
摘要

Several corporations have committed to procuring a percentage of their electricity demand from renewable sources by a future date. Long-term financial contracts with renewable generators based on a fixed strike price, known as virtual power purchase agreements (VPPAs), are popular to meet such a target. We formulate rolling power purchases using a portfolio of VPPAs as a Markov decision process, accounting for uncertainty in generator availability and in the prices of electricity, renewable energy certificates, and VPPAs. Obtaining an optimal procurement policy is intractable. We consider forecast-based reoptimization heuristics consistent with practice that limit the sourcing of different VPPA types and the timing of new agreements. We extend these heuristics and introduce an information-relaxation based reoptimization heuristic, both of which allow for full sourcing and timing flexibilities. The latter heuristic also accounts for future uncertainties when making a decision. We assess the value of decision flexibility in rolling power purchases to meet a renewable target by numerically comparing the aforementioned policies and variants thereof on realistic instances involving a novel strike price stochastic process calibrated to data. Policies with full timing flexibility and no sourcing flexibility reduce procurement costs significantly compared with one with neither type of flexibility. Introducing sourcing flexibility in the former policies results in further significant cost reduction, thus providing support for using VPPA portfolios that are both dynamic and heterogeneous. Computing near-optimal portfolios of this nature entails using our information-relaxation based reoptimization heuristic because portfolios constructed via forecast-based reoptimization exhibit higher suboptimality. This paper was accepted by Ilia Tsetlin, behavioral economics and decision analysis. Supplemental Material: The online appendix is available at https://doi.org/10.1287/mnsc.2022.4354 .
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
mr完成签到 ,获得积分10
1秒前
今何在完成签到,获得积分10
1秒前
GY916完成签到 ,获得积分20
1秒前
Fly完成签到 ,获得积分10
2秒前
科目三应助黄超超采纳,获得10
2秒前
量子星尘发布了新的文献求助10
3秒前
Jason完成签到,获得积分10
4秒前
4秒前
歪比巴卜完成签到,获得积分10
5秒前
卿卿完成签到,获得积分20
6秒前
云墨完成签到 ,获得积分10
6秒前
SilentStorm完成签到,获得积分10
6秒前
7秒前
8秒前
sunnyfriend完成签到,获得积分10
8秒前
xiaozang完成签到,获得积分10
9秒前
怕黑寻雪完成签到 ,获得积分10
9秒前
10秒前
李白完成签到,获得积分10
11秒前
正直涵菱发布了新的文献求助10
11秒前
感性的酬海完成签到,获得积分10
12秒前
王王的狗子完成签到 ,获得积分10
12秒前
innyjiang完成签到,获得积分10
14秒前
陆王牛马完成签到 ,获得积分10
15秒前
15秒前
Ava应助念念采纳,获得10
16秒前
LIAO完成签到,获得积分10
16秒前
迅速凝竹完成签到 ,获得积分10
18秒前
妮妮完成签到,获得积分10
19秒前
19秒前
哈哈哈完成签到,获得积分20
20秒前
快乐随心完成签到 ,获得积分10
21秒前
了一李完成签到 ,获得积分10
21秒前
fqk完成签到,获得积分10
21秒前
活泼新儿完成签到,获得积分10
21秒前
22秒前
老迟到的羊完成签到 ,获得积分10
22秒前
可爱的函函应助sl采纳,获得30
26秒前
CatC完成签到,获得积分10
26秒前
LIKO完成签到,获得积分10
26秒前
高分求助中
【提示信息,请勿应助】关于scihub 10000
Les Mantodea de Guyane: Insecta, Polyneoptera [The Mantids of French Guiana] 3000
徐淮辽南地区新元古代叠层石及生物地层 3000
The Mother of All Tableaux: Order, Equivalence, and Geometry in the Large-scale Structure of Optimality Theory 3000
Global Eyelash Assessment scale (GEA) 1000
Picture Books with Same-sex Parented Families: Unintentional Censorship 550
Research on Disturbance Rejection Control Algorithm for Aerial Operation Robots 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 4038388
求助须知:如何正确求助?哪些是违规求助? 3576106
关于积分的说明 11374447
捐赠科研通 3305798
什么是DOI,文献DOI怎么找? 1819322
邀请新用户注册赠送积分活动 892672
科研通“疑难数据库(出版商)”最低求助积分说明 815029