Abstract
The electricity output of combined heat and power (CHP) units is constrained by their heat output corresponding to customers' heat demand, which makes it difficult for the CHP units to frequently adjust their electricity output. Therefore, additional balancing power is required to integrate the variable wind power in the CHP-based heat and electricity integrated energy system (HE-IES). This chapter expands the demand response (DR) concept to the HE-IES. A comprehensive DR strategy combining energy substitution and load shifting is first developed to exploit the demand flexibility of smart buildings. Besides electric balancing power, heat balancing power is also provided to relax the production constrains of CHP units. Moreover, a real-time DR exchange (DRX) market is developed where the building aggregators are stimulated to adjust buildings' energy consumption behaviors and provide the required balancing power. Compared with the existing day-ahead DRX market, the real-time DRX market can balance the very short-term wind power fluctuation and reduce price spikes. Additionally, a novel optimum feasible region method is proposed to achieve the fast clearing of the DRX market to meet the higher requirement for clearing speed in the real-time market. Simulation results verify the advantages of the proposed technique.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
G. Streckienė, V. Martinaitis, A.N. Andersen, J. Katz, Feasibility of CHP-plants with thermal stores in the German spot market. Appl. Energy 86, 2308–2316 (2009)
P.F. Bach, Towards 50% wind electricity in Denmark: dilemmas and challenges. Eur. Phys. J. Plus 131, 1–12 (2016)
X. Lu, M.B. McElroy, W. Peng, S. Liu, C.P. Nielsen, H. Wang, Challenges faced by China compared with the US in developing wind power. Nat. Energy 1, 16061 (2016)
M.G. Nielsen, J.M. Morales, M. Zugno, T.E. Pedersen, H. Madsen, Economic valuation of heat pumps and electric boilers in the Danish energy system. Appl. Energy 167, 189–200 (2015)
X. Lu, M.B. Mcelroy, W. Peng, S. Liu, C.P. Nielsen, H. Wang, Challenges Faced by China Compared with the US in Developing Wind Power, vol. 1 (2016), p. 16061
O. Erdinc, N.G. Paterakis, I.N. Pappi, A.G. Bakirtzis, J.P.S. Catalão, A new perspective for sizing of distributed generation and energy storage for smart households under demand response. Appl. Energy 143, 26–37 (2015)
P.H. Shaikh, N.B.M. Nor, P. Nallagownden, I. Elamvazuthi, T. Ibrahim, A review on optimized control systems for building energy and comfort management of smart sustainable buildings. Renew. Sustain. Energy Rev. 34, 409–429 (2014)
Y. Lin, P. Barooah, S. Meyn, T. Middelkoop, Experimental evaluation of frequency regulation from commercial building HVAC systems. IEEE Trans. Smart Grid 6, 776–783 (2015)
C. Vivekananthan, Y. Mishra, G. Ledwich, F. Li, Demand response for residential appliances via customer reward scheme. IEEE Trans. Smart Grid 5, 809–820 (2014)
E. Bilgin, M.C. Caramanis, I.C. Paschalidis, C.G. Cassandras, Provision of regulation service by smart buildings. IEEE Trans. Smart Grid 7, 1683–1693 (2017)
D.T. Nguyen, M. Negnevitsky, M.D. Groot, Pool-based demand response exchange—concept and modeling. IEEE Trans. Power Syst. 26, 1677–1685 (2011)
D.T. Nguyen, M. Negnevitsky, M.D. Groot, Walrasian market clearing for demand response exchange. IEEE Trans. Power Syst. 27, 535–544 (2012)
H. Wu, M. Shahidehpour, A. Alabdulwahab, A. Abusorrah, Demand response exchange in the stochastic day-ahead scheduling with variable renewable generation. IEEE Trans. Sustain. Energy 6, 516–525 (2015)
C. Shao, Y. Ding, P. Siano, Z. Lin, A framework for incorporating demand response of smart buildings into the integrated heat and electricity energy system. IEEE Trans. Ind. Electron. 66(2):1465-1475 (2019).
M. Geidl, G. Andersson, Optimal power flow of multiple energy carriers. IEEE Trans. Power Syst. 22, 145–155 (2007)
B. Daryanian, R.E. Bohn, R.D. Tabors, Optimal demand-side response to electricity spot prices for storage-type customers. IEEE Trans. Power Syst. 4, 897–903 (1989)
P. Wang, J.Y. Huang, Y. Ding, P. Loh, L. Goel, Demand side load management of smart grids using intelligent trading/metering/billing system, in IEEE PES General Meeting (2010), pp. 1–6
R.C. Sonderegger, Dynamic Models of House Heating Based on Equivalent Thermal Parameters (1978)
X.S. Jiang, Z.X. Jing, Y.Z. Li, Q.H. Wu, W.H. Tang, Modelling and operation optimization of an integrated energy based direct district water-heating system. Energy 64, 375–388 (2013)
Y. Ding, S. Pineda, P. Nyeng, J. Ostergaard, E.M. Larsen, Q. Wu, Real-time market concept architecture for EcoGrid EU—A prototype for European smart grids. IEEE Trans. Smart Grid 4, 2006–2016 (2013)
Z. Li, W. Wu, J. Wang, B. Zhang, T. Zheng, Transmission-constrained unit commitment considering combined electricity and district heating networks. IEEE Trans. Sustain. Energy 7, 480–492 (2016)
B. Awad, M. Chaudry, J. Wu, N. Jenkins, Integrated optimal power flow for electric power and heat in a MicroGrid, in International Conference and Exhibition on Electricity Distribution (2009), pp. 1–4
T. Orfanogianni, G. Gross, A general formulation for LMP evaluation. IEEE Trans. Power Syst. 22, 1163–1173 (2007)
R. Jabr, A.H. Coonick, B.J. Cory, A primal-dual interior point method for optimal power flow dispatching. IEEE Power Eng. Rev. 22, 55 (2002)
C. Wang, M.H. Nehrir, Analytical approaches for optimal placement of distributed generation sources in power systems. IEEE Trans. Power Syst. 19, 2068–2076 (2004)
A. Shabanpour-Haghighi, A.R. Seifi, Simultaneous integrated optimal energy flow of electricity, gas, and heat. Energy Convers. Manag. 101, 579–591 (2015)
L. Pedersen, Method for Load Modelling of Heat and Electricity Demand (2006)
H. Hui, Y. Ding, W. Liu, Y. Lin, Y. Song, Operating reserve evaluation of aggregated air conditioners. Appl. Energy 196, 218–228 (2017)
Z. Pan, Q. Guo, H. Sun, Feasible region method based integrated heat and electricity dispatch considering building thermal inertia. Appl. Energy (2016)
T. Jónsson, P. Pinson, H. Madsen, On the market impact of wind energy forecasts. Energy Econ. 32, 313–320 (2010)
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2019 Springer Nature Singapore Pte Ltd.
About this chapter
Cite this chapter
Ding, Y., Song, Y., Hui, H., Shao, C. (2019). A Three-Level Framwork for Utilizing the Demand Response to Improve the Operation of the Integrated Energy Systems. In: Integration of Air Conditioning and Heating into Modern Power Systems. Springer, Singapore. https://doi.org/10.1007/978-981-13-6420-4_7
Download citation
DOI: https://doi.org/10.1007/978-981-13-6420-4_7
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-13-6419-8
Online ISBN: 978-981-13-6420-4
eBook Packages: EngineeringEngineering (R0)