Medium-term energy hub management subject to electricity price and wind uncertainty

被引:152
作者
Najafi, Arsalan [1 ]
Falaghi, Hamid [1 ]
Contreras, Javier [2 ]
Ramezani, Maryam [1 ]
机构
[1] Univ Birjand, Fac Elect & Comp Engn, Birjand 97175, Iran
[2] Univ Castilla La Mancha, ETS Ingenieros Ind, E-13071 Ciudad Real, Spain
关键词
Energy hub; Energy management; Decision making; Restructured power systems; DEMAND RESPONSE; COMBINED HEAT; MULTIOBJECTIVE OPTIMIZATION; SYSTEMS; STORAGE; OPERATION; RELIABILITY; PERFORMANCE; MODELS; GENERATION;
D O I
10.1016/j.apenergy.2016.01.074
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Energy hubs play an important role in implementing multi-carrier energy systems. More studies are required in both their modeling and operating aspects. In this regard, this paper attempts to develop medium-term management of an energy hub in restructured power systems. A model is presented to manage an energy hub which has electrical energy and natural gas as inputs and electrical and heat energy as outputs. Electricity is procured in various ways, either purchasing it from a pool-based market and bilateral contracts, or producing it from a Combined Heat and Power (CHP) unit, a diesel generator unit and Wind Turbine Generators (WTGs). Pool prices and wind turbine production are subject to uncertainty, which makes energy management a complex puzzle. Heat demand is also procured by a furnace and a CHP unit. Energy hub managers should make decisions whether to purchase electricity from the electricity market and gas from the gas network or to produce electricity using a set of generators to meet the electrical and heat demands in the presence of uncertainties. The energy management objective is to minimize the total cost subject to several technical constraints using stochastic programming. Conditional Value at Risk (CVaR), a well-known risk measure, is used to reduce the unfavorable risk of costs. In doing so, the proposed model is illustrated using a sample test case with actual prices, load and wind speed data. The results show that the minimum cost is obtained by the best decisions involving the electricity market and purchasing natural gas for gas facilities. Considering risk also increases the total expected cost and decreases the CVaR. (C) 2016 Elsevier Ltd. All rights reserved.
引用
收藏
页码:418 / 433
页数:16
相关论文
共 59 条
[1]   On Decisive Storage Parameters for Minimizing Energy Supply Costs in Multicarrier Energy Systems [J].
Adamek, Franziska ;
Arnold, Michele ;
Andersson, Goeran .
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY, 2014, 5 (01) :102-109
[2]   Stochastic risk-constrained short-term scheduling of industrial cogeneration systems in the presence of demand response programs [J].
Alipour, Manijeh ;
Mohammadi-Ivatloo, Behnam ;
Zare, Kazem .
APPLIED ENERGY, 2014, 136 :393-404
[3]   Short-term scheduling of combined heat and power generation units in the presence of demand response programs [J].
Alipour, Manijeh ;
Zare, Kazem ;
Mohammadi-Ivatloo, Behnam .
ENERGY, 2014, 71 :289-301
[4]  
[Anonymous], 2007, Ph.D. dissertation
[5]  
[Anonymous], 1997, Introduction to stochastic programming
[6]  
[Anonymous], 2010, DECISION MAKING UNCE
[7]   Assessing electrical bottlenecks at feeder level for residential net zero-energy buildings by integrated system simulation [J].
Baetens, R. ;
De Coninck, R. ;
Van Roy, J. ;
Verbruggen, B. ;
Driesen, J. ;
Helsen, L. ;
Saelens, D. .
APPLIED ENERGY, 2012, 96 :74-83
[8]   Risk-Constrained Multi-Stage Wind Power Investment [J].
Baringo, Luis ;
Conejo, Antonio J. .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2013, 28 (01) :401-411
[9]   Economic and environmental based operation strategies of a hybrid photovoltaic-microgas turbine trigeneration system [J].
Basrawi, Firdaus ;
Yamada, Takanobu ;
Obara, Shin'ya .
APPLIED ENERGY, 2014, 121 :174-183
[10]   Theoretical analysis of performance of a micro gas turbine co/trigeneration system for residential buildings in a tropical region [J].
Basrawi, Firdaus ;
Yamada, Takanobu ;
Obara, Shin'ya .
ENERGY AND BUILDINGS, 2013, 67 :108-117