Xinghua Shi
ABSTRACT
This study introduces the integration of demand response mechanisms to optimize the functioning and economic efficiency of a multi-energy system. We categorize energy demand response into two types: price-based and substitution-based. These categories not only consider the influence of time-differentiated energy pricing on consumer energy use strategies, but also recognize the synergistic potential of combining electricity and gas resources. A key contribution of this research is the development of a non-linear optimization scheduling model, grounded in the dynamic natural gas flow equation, to provide a comprehensive representation of the energy system. To enhance the feasibility of this model, complex natural gas flow constraints are transformed into a convex form using second-order cone relaxation. The model's effectiveness is further bolstered by employing a sequential optimization strategy, ensuring the relaxation's precision. Case studies are conducted to demonstrate the practicality of the proposed solving algorithm and the efficiency of our dynamic multi-energy system modeling approach. This dynamic model capitalizes on the storage capabilities of natural gas pipelines, offering a more cost-effective and efficient solution compared to static models.
- Ma X Y, Sun Y Z, Fang H L. Scenario Generation of Wind Power Based on Statistical Uncertainty and Variability[J]. IEEE Transactions on Sustainable Energy, 2015, 4(4):894-904.Google Scholar
Cross Ref
- Wang Z, Shen C, Liu F. A Conditional Model of Wind Power Forecast Errors and Its Application in Scenario Generation[J]. Applied Energy, 2017, 212:771-785.Google ScholarCross Ref
- Wang G, Xin H, Wu D, Data-Driven Arbitrary Polynomial Chaos-Based Probabilistic Load Flow Considering Correlated Uncertainties[J]. IEEE Transactions on Power Systems, 2019: 3274-3276.Google Scholar
- He Y, Yan M, Shahidehpour M, Decentralized Optimization of Multi-Area Electricity-Natural Gas Flows Based on Cone Reformulation[J]. IEEE Transactions on Power Systems, 2017: 1-1.Google Scholar
- Nedic A, Olshevsky A, Rabbat M G. Network Topology and Communication-Computation Tradeoffs in Decentralized Optimization[J]. Proceedings of the IEEE, 2017, 106(5):953-976.Google ScholarCross Ref
- He Y, Shahidehpour M, Li Z. Robust Constrained Operation of Integrated Electricity- Natural Gas System Considering Distributed Natural Gas Storage[J]. IEEE Transactions on Sustainable Energy, 2017: 1061-1071.Google Scholar
- Javadi M S, Anvari-Moghaddam A, Guerrero J M. Optimal Scheduling of a Multi-Carrier Energy Hub Supplemented By Battery Energy Storage Systems[C]// 17th annual conference of the International Conference on Environmental and Electrical Engineering (EEEIC 2017). 2017.Google Scholar
- Yan M, Zhang N, Ai X, Robust Two-Stage Regional-District Scheduling of Multi-carrier Energy Systems With a Large Penetration of Wind Power[J]. IEEE Transactions on Sustainable Energy, 2019, 10(3):1227-1239.Google ScholarCross Ref
- Alismail F, Xiong P, Singh C. Optimal Wind Farm Allocation in Multi-Area Power Systems Using Distributionally Robust Optimization Approach[J]. IEEE Transactions on Power Systems, 2017: 1-1.Google Scholar
Index Terms
- Multi-Energy Coordinated Day-ahead Energy Management of Integrated Electrical-Gas Energy System
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