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contributor authorYang Lun;Zhao Xia;Peng Sui;Yan Wei
date accessioned2019-02-26T07:42:16Z
date available2019-02-26T07:42:16Z
date issued2018
identifier other%28ASCE%29EY.1943-7897.0000555.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4248828
description abstractThe wide application of combined heat and power (CHP) units increases the interaction between electricity and heating networks and the interest in combined analysis of the integrated electricity and heating networks (IEHNs). However, most of the existing power and mass flow (PMF) analysis methods for IEHNs are deterministic in nature, which cannot address the uncertainties and their effects on the operation of IEHNs. Therefore, the well-known concept of probabilistic power flow (PPF) analysis of an electricity network is extended to IEHNs in this paper. A probabilistic power and mass flow (PPMF) problem of IEHNs considering various uncertainties and correlations in wind speeds, electricity loads, and heat loads under both grid-connected mode and island mode is formulated at first. A probabilistic method based on the Latin hypercube sampling (LHS) technique and Nataf transformation is then developed to solve the PPMF problem. Finally, the effectiveness of the proposed method is verified by a sample IEHN composed of a 33-bus distribution system and a 27-node heating network.
publisherAmerican Society of Civil Engineers
titleProbabilistic Power and Mass Flow Analysis for Integrated Electricity and Heating Networks
typeJournal Paper
journal volume144
journal issue4
journal titleJournal of Energy Engineering
identifier doi10.1061/(ASCE)EY.1943-7897.0000555
page4018041
treeJournal of Energy Engineering:;2018:;Volume ( 144 ):;issue: 004
contenttypeFulltext


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