Demand Response Power-Gas Interconnection Energy System and Power Metering Based on SOGA
DOI:
https://doi.org/10.13052/spee1048-5236.4339Keywords:
demand response, Power-gas interconnection energy system, CHP, Single objective genetic algorithm, Electric power measurementAbstract
Under the double background of global energy crisis and environmental pollution, China vigorously develops renewable energy while accelerating the construction of energy Internet. Taking demand response into account, this paper proposes the optimal design of power-gas interconnection energy system and power metering, and establishes the optimization research model of IEGES (integrated electricity-gas energy system) with demand response. Firstly, the structure model of the electric-gas interconnection energy system with CHP (Cogeneration, combined heat and power) as the core is constructed, and the energy conversion relationship and different energy flow directions of the coupling equipment are expounded from three aspects. The natural gas source point, pipeline equation, power side branch equation, voltage and current equation are modeled and sorted out, and the square term in the equation is linearized by second-order cone programming method, and the mixed integer nonlinear programming problem is transformed into mixed integer linear programming problem. A single objective genetic algorithm with “elite strategy” was selected to solve the equipment capacity optimization problem of IEGES system with system economy as the optimization objective. After a long time of parameter combination attempts, the current population size is 30, the number of iterations is 600, the crossover rate is 0.8, and the heritability is 0.3. The above parameters can obtain better convergence results on the basis of considering the operation time. Finally, a stochastic optimization method of energy Internet considering integrated demand response and uncertainty of wind power is proposed, which aims to meet the energy demand of end users while minimizing the operating cost of the system. The comprehensive demand response strategy including internal and external demand response is considered in the model. Internal demand response is realized by adjusting the internal operation mode of EH, while external demand response is implemented by the end user’s active response, and the load is time-shifted or interrupted under the guidance of external signals.
Downloads
References
Coltro L, Garcia E E C, Queiroz G C. Life cycle inventory for electric energy system in Brazil[J]. The International Journal of Life Cycle Assessment, 2003, 8: 290–296.
Zimmermann T, Keil P, Hofmann M, et al. Review of system topologies for hybrid electrical energy storage systems[J]. Journal of Energy Storage, 2016, 8: 78–90.
He Yufei, Wang Wei, Xiong Xiaofu et al. Pre-disaster cooperative scheduling strategy for emergency resources to improve the resiliency of power-gas interconnection energy system [J]. Automation of Electric Power Systems, 2019, 47(14): 21–32.
Qiu Gefei, He Chao, Luo Zhao, et al. Fuzzy optimal scheduling of power-gas interconnection integrated energy system in industrial Park considering the uncertainty of source and load [J]. Electric power automation equipment, 2022, and (5): 8 to 14. DOI: 10.16081/j.page.202201015.
Li Jinghua, Wang Zhibang, Jiang Juan. Optimization Planning of Electric-Gas Interconnection Transmission Network Considering Energy Supply Reliability [J]. Electric Power Automation Equipment/ Dianli Zidonghua Shebei, 2021, 41(9).
Wei Zhenbo, Guo Yi, Wei Pingxi et al. Multi-objective extended planning model for integrated energy system of electric-gas interconnection based on IGDT [J]. High Voltage Technology, 2022, 48(02): 526–537. (in Chinese) DOI: 10.13336/j.1003-6520.hve.20201730.
Elgerd O I, Fosha C E. Optimum megawatt-frequency control of multiarea electric energy systems[J]. IEEE transactions on power apparatus and systems, 1970 (4): 556–563.
Vega A M, Santamaria F, Rivas E. Modeling for home electric energy management: A review[J]. Renewable and Sustainable Energy Reviews, 2015, 52: 948–959.
Strasser T, Andren F, Kathan J, et al. A review of architectures and concepts for intelligence in future electric energy systems[J]. IEEE Transactions on Industrial Electronics, 2014, 62(4): 2424–2438.
Tacker E C, Lee C C, Reddoch T W, et al. Optimal control of interconnected, electric energy systems – A new formulation[J]. Proceedings of the IEEE, 1972, 60(10): 1239–1241.
Kamali S, Amraee T. Blackout prediction in interconnected electric energy systems considering generation re-dispatch and energy curtailment[J]. Applied Energy, 2017, 187: 50–61.
Khan K R, Rahman M, Masrur H, et al. Electric energy exchanges in interconnected regional utilities: A case study for a growing power system[J]. International Journal of Electrical Power & Energy Systems, 2019, 107: 715–725.
Zakeri B, Syri S. Electrical energy storage systems: A comparative life cycle cost analysis[J]. Renewable and sustainable energy reviews, 2015, 42: 569–596.
Sansaniwal S K, Sharma V, Mathur J. Energy and exergy analyses of various typical solar energy applications: A comprehensive review[J]. Renewable and Sustainable Energy Reviews, 2018, 82: 1576–1601.
Yu S, Zheng Y, Li L. A comprehensive evaluation of the development and utilization of China’s regional renewable energy[J]. Energy Policy, 2019, 127: 73–86.
Kyriakopoulos G L, Arabatzis G. Electrical energy storage systems in electricity generation: Energy policies, innovative technologies, and regulatory regimes[J]. Renewable and Sustainable Energy Reviews, 2016, 56: 1044–1067.
Sezer N, Koç M. A comprehensive review on the state-of-the-art of piezoelectric energy harvesting[J]. Nano energy, 2021, 80: 105567.
Meng Q W, Guan Q S, Jia N, et al. An improved sequential energy flow analysis method based on multiple balance nodes in gas-electricity interconnection systems[J]. IEEE Access, 2019, 7: 95487–95495.
Lai C S, Jia Y, Lai L L, et al. A comprehensive review on large-scale photovoltaic system with applications of electrical energy storage[J]. Renewable and Sustainable Energy Reviews, 2017, 78: 439–451.
Sidhu A S, Pollitt M G, Anaya K L. A social cost benefit analysis of grid-scale electrical energy storage projects: A case study[J]. Applied energy, 2018, 212: 881–894.
Zhang Y, Liu W, Shi Q, et al. Resilience assessment of multi-decision complex energy interconnection system[J]. International Journal of Electrical Power & Energy Systems, 2022, 137: 107809.
Luo X, Wang J, Dooner M, et al. Overview of current development in electrical energy storage technologies and the application potential in power system operation[J]. Applied energy, 2015, 137: 511–536.
Cebulla F, Naegler T, Pohl M. Electrical energy storage in highly renewable European energy systems: Capacity requirements, spatial distribution, and storage dispatch[J]. Journal of Energy Storage, 2017, 14: 211–223.
Mamade A, Loureiro D, Alegre H, et al. A comprehensive and well tested energy balance for water supply systems[J]. Urban Water Journal, 2017, 14(8): 853–861.
Gissey G C, Dodds P E, Radcliffe J. Market and regulatory barriers to electrical energy storage innovation[J]. Renewable and Sustainable Energy Reviews, 2018, 82: 781–790.
Kebede A A, Kalogiannis T, Van Mierlo J, et al. A comprehensive review of stationary energy storage devices for large scale renewable energy sources grid integration[J]. Renewable and Sustainable Energy Reviews, 2022, 159: 112213.
Battistelli C, Baringo L, Conejo A J. Optimal energy management of small electric energy systems including V2G facilities and renewable energy sources[J]. Electric Power Systems Research, 2012, 92: 50–59.
https://aeeeuropeenergy.com/
