A derived heuristics based multi-objective optimization procedure for micro-grid scheduling. Issue 6 (3rd June 2017)
- Record Type:
- Journal Article
- Title:
- A derived heuristics based multi-objective optimization procedure for micro-grid scheduling. Issue 6 (3rd June 2017)
- Main Title:
- A derived heuristics based multi-objective optimization procedure for micro-grid scheduling
- Authors:
- Li, Xin
Deb, Kalyanmoy
Fang, Yanjun - Abstract:
- ABSTRACT: With the availability of different types of power generators to be used in an electric micro-grid system, their operation scheduling as the load demand changes with time becomes an important task. Besides satisfying load balance constraints and the generator's rated power, several other practicalities, such as limited availability of grid power and restricted ramping of power output from generators, must all be considered during the operation scheduling process, which makes it difficult to decide whether the optimization results are accurate and satisfactory. In solving such complex practical problems, heuristics-based customized optimization algorithms are suggested. However, due to nonlinear and complex interactions of variables, it is difficult to come up with heuristics in such problems off-hand. In this article, a two-step strategy is proposed in which the first task deciphers important heuristics about the problem and the second task utilizes the derived heuristics to solve the original problem in a computationally fast manner. Specifically, the specific operation scheduling is considered from a two-objective (cost and emission) point of view. The first task develops basic and advanced level knowledge bases offline from a series of prior demand-wise optimization runs and then the second task utilizes them to modify optimized solutions in an application scenario. Results on island and grid connected modes and several pragmatic formulations of the micro-gridABSTRACT: With the availability of different types of power generators to be used in an electric micro-grid system, their operation scheduling as the load demand changes with time becomes an important task. Besides satisfying load balance constraints and the generator's rated power, several other practicalities, such as limited availability of grid power and restricted ramping of power output from generators, must all be considered during the operation scheduling process, which makes it difficult to decide whether the optimization results are accurate and satisfactory. In solving such complex practical problems, heuristics-based customized optimization algorithms are suggested. However, due to nonlinear and complex interactions of variables, it is difficult to come up with heuristics in such problems off-hand. In this article, a two-step strategy is proposed in which the first task deciphers important heuristics about the problem and the second task utilizes the derived heuristics to solve the original problem in a computationally fast manner. Specifically, the specific operation scheduling is considered from a two-objective (cost and emission) point of view. The first task develops basic and advanced level knowledge bases offline from a series of prior demand-wise optimization runs and then the second task utilizes them to modify optimized solutions in an application scenario. Results on island and grid connected modes and several pragmatic formulations of the micro-grid operation scheduling problem clearly indicate the merit of the proposed two-step procedure. … (more)
- Is Part Of:
- Engineering optimization. Volume 49:Issue 6(2017)
- Journal:
- Engineering optimization
- Issue:
- Volume 49:Issue 6(2017)
- Issue Display:
- Volume 49, Issue 6 (2017)
- Year:
- 2017
- Volume:
- 49
- Issue:
- 6
- Issue Sort Value:
- 2017-0049-0006-0000
- Page Start:
- 1078
- Page End:
- 1096
- Publication Date:
- 2017-06-03
- Subjects:
- multi-objective optimization -- micro-grid operation scheduling -- knowledge-basesestablishment -- heuristics based correction
Engineering design -- Periodicals
Mathematical optimization -- Periodicals
620.0042 - Journal URLs:
- http://www.tandfonline.com/toc/geno20/current ↗
http://www.tandfonline.com/ ↗ - DOI:
- 10.1080/0305215X.2016.1218864 ↗
- Languages:
- English
- ISSNs:
- 0305-215X
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3766.145000
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 2772.xml