DOI:10.1007/s40565-017-0279-y |
| |
| |
Many-objective optimization for coordinated operationof integrated electricity and gas network |
| |
|
| |
Page view: 0
Net amount: 1129 |
| |
Author:
Y. N. KOU1
, J. H. ZHENG1
, Zhigang LI1
, Q. H. WU1,2
|
Author Affiliation:
1 School of Electric Power Engineering, South China
University of Technology, Guangzhou 510640, China
2 Department of Electrical Engineering and Electronics, The
University of Liverpool, Liverpool L69 3GJ, UK
|
Foundation: |
State KeyProgram of National Natural Science Foundation of China (No.51437006) and Guangdong Innovative Research Team Program (No.201001N0104744201). |
|
|
Abstract: |
This paper develops a many-objective optimization
model, which contains objectives representing the
interests of the electricity and gas networks, as well as the
distributed district heating and cooling units, to coordinate
the benefits of all parties participated in the integrated
energy system (IES). In order to solve the many-objective
optimization model efficiently, an improved objective
reduction (IOR) approach is proposed, aiming at acquiring
the smallest set of objectives. The IOR approach utilizes
the Spearman’s rank correlation coefficient to measure the
relationship between objectives based on the Pareto-optimal
front captured by the multi-objective group search
optimizer with adaptive covariance and Le′vy flights algorithm,
and adopts various strategies to reduce the number
of objectives gradually. Simulation studies are conducted
on an IES consisting of a modified IEEE 30-bus electricity
network and a 15-node gas network. The results show that
the many-objective optimization problem is transformed
into a bi-objective formulation by the IOR. Furthermore,
our approach improves the overall quality of dispatch
solutions and alleviates the decision making burden. |
Keywords: |
Integrated energy system, Gas network,Electricity network, Many-objective optimization,Objective reduction |
| |
Online Time:2017/05/09 |
| |
|
|
View Full Text
Download reader
|
|
|