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Sustainability 2017, 9(9), 1655; doi:10.3390/su9091655

Operating Strategy for Local-Area Energy Systems Integration Considering Uncertainty of Supply-Side and Demand-Side under Conditional Value-At-Risk Assessment

1
State Key Laboratory of Alternative Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing 102206, China
2
China Energy Engineering Group Tianjin Electric Power Design Institute Co., Ltd., Tianjin 300400, China
3
Inner Mongolia Power (Group) Co., Ltd., Huhehaote 010020, China
*
Author to whom correspondence should be addressed.
Received: 9 June 2017 / Revised: 14 September 2017 / Accepted: 15 September 2017 / Published: 18 September 2017
(This article belongs to the Special Issue Smart Grid)
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Abstract

To alleviate environmental pollution and improve the energy usage efficiency of terminals, energy systems integration (ESI) has become an important paradigm in the energy structure evolution. Power, gas and heat systems are becoming tightly interlinked with each other in ESI. The dispatching strategy of local-area ESI has significant impact on its operation. In this paper, a local-area ESI operational scheduling model based on conditional value-at-risk (CVaR) is proposed to minimize expected operational cost, which considers the uncertainty of energy supply-side and demand-side as well as multi-energy network constraints, including electrical network, thermal network and gas network. The risk cost is analyzed comprehensively under the condition of under- or overestimated cost. On this basis, a hybrid method combining particle swarm optimization with interior point algorithm is executed to compute the optimal solutions of two-stage multi-period mixed-integer convex model. Finally, a case study is performed on ESI to demonstrate the effectiveness of the proposed method. View Full-Text
Keywords: energy systems integration (ESI); conditional value-at-risk (CVaR); risk cost; multi-energy network constraints; bi-level optimization energy systems integration (ESI); conditional value-at-risk (CVaR); risk cost; multi-energy network constraints; bi-level optimization
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Shi, J.; Wang, Y.; Fu, R.; Zhang, J. Operating Strategy for Local-Area Energy Systems Integration Considering Uncertainty of Supply-Side and Demand-Side under Conditional Value-At-Risk Assessment. Sustainability 2017, 9, 1655.

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