Cooperative Operation for Integrated Multi-Energy System Considering Transmission Losses

The increasing complexity of energy internet integrated with multiple energy systems requires a more flexible energy management system. To exploit the potential of energy complementarity, maximize the consumption of renewable energy sources (RES) and minimize the operating costs, a cooperative operation model for integrated multi-energy systems (IMES) with transmission losses is proposed in this paper. On this basis, a novel multi-energy management strategy is developed to improve the energy utilization efficiency of the systems for regional operation by integrating the alternative decomposition-based decoupling method for multi-energy flow and the dynamic wolf pack algorithm (DWPA). Furthermore, the operating costs are formulated as a multi-objective optimization problem based on the Pareto efficiency to obtain more diverse solutions. Finally, case studies considered perform sensitivity analysis and demonstrate that the proposed cooperative operation model and strategy can effectively improve the economy and the flexibility of a regional energy system.

[1]  Qian Ai,et al.  Extended multi-energy demand response scheme for industrial integrated energy system , 2018 .

[2]  Joao P. S. Catalao,et al.  Novel Multi-Stage Stochastic DG Investment Planning with Recourse , 2017, IEEE Transactions on Sustainable Energy.

[3]  Pierluigi Mancarella,et al.  Unlocking Flexibility: Integrated Optimization and Control of Multienergy Systems , 2017, IEEE Power and Energy Magazine.

[4]  Zhaoxia Jing,et al.  Coordinated scheduling strategy to optimize conflicting benefits for daily operation of integrated electricity and gas networks , 2017 .

[5]  Enrico Zio,et al.  An integrated framework of agent-based modelling and robust optimization for microgrid energy management , 2014 .

[6]  Hadi Saadat,et al.  Power System Analysis , 1998 .

[7]  Russell Bent,et al.  Security-Constrained Design of Isolated Multi-Energy Microgrids , 2018, IEEE Transactions on Power Systems.

[8]  Mohammad Shahidehpour,et al.  Optimal Stochastic Operation of Integrated Low-Carbon Electric Power, Natural Gas, and Heat Delivery System , 2018, IEEE Transactions on Sustainable Energy.

[9]  David J. Hill,et al.  Multi-Agent Optimal Allocation of Energy Storage Systems in Distribution Systems , 2017, IEEE Transactions on Sustainable Energy.

[10]  Alireza Lorestani,et al.  Optimal integration of renewable energy sources for autonomous tri-generation combined cooling, heating and power system based on evolutionary particle swarm optimization algorithm , 2018 .

[11]  Ali Ehsan,et al.  Coordinated Investment Planning of Distributed Multi-Type Stochastic Generation and Battery Storage in Active Distribution Networks , 2019, IEEE Transactions on Sustainable Energy.

[12]  Yongli Wang,et al.  Optimal operation of microgrid with multi-energy complementary based on moth flame optimization algorithm , 2020, Energy Sources, Part A: Recovery, Utilization, and Environmental Effects.

[13]  Husheng Wu,et al.  Wolf Pack Algorithm for Unconstrained Global Optimization , 2014 .

[14]  Taher Niknam,et al.  A scenario-based approach for the design of Smart Energy and Water Hub , 2020 .

[15]  Qiang Yang,et al.  Scenario-based investment planning of isolated multi-energy microgrids considering electricity, heating and cooling demand , 2019, Applied Energy.

[16]  Azlan Mohd Zain,et al.  Levy Flight Algorithm for Optimization Problems - A Literature Review , 2013, ICIT 2013.

[17]  Boming Zhang,et al.  Decentralized Solution for Combined Heat and Power Dispatch Through Benders Decomposition , 2017, IEEE Transactions on Sustainable Energy.

[18]  Tao Yu,et al.  Decentralized optimal multi-energy flow of large-scale integrated energy systems in a carbon trading market , 2018 .

[19]  Yang Li,et al.  Optimal distributed generation planning in active distribution networks considering integration of energy storage , 2018, 1808.05712.

[20]  Audrius Bagdanavicius,et al.  Combined analysis of electricity and heat networks , 2014 .

[21]  Michael Chertkov,et al.  Coordinated Scheduling for Interdependent Electric Power and Natural Gas Infrastructures , 2017, IEEE Transactions on Power Systems.

[22]  Mohammad Shahidehpour,et al.  Robust operation of a multicarrier energy system considering EVs and CHP units , 2020 .

[23]  Joao P. S. Catalao,et al.  Optimal scheduling of distribution systems considering multiple downward energy hubs and demand response programs , 2020 .

[24]  Seungil You,et al.  A non-convex alternating direction method of multipliers heuristic for optimal power flow , 2014, 2014 IEEE International Conference on Smart Grid Communications (SmartGridComm).

[25]  Pierluigi Mancarella,et al.  Modelling, assessment and Sankey diagrams of integrated electricity-heat-gas networks in multi-vector district energy systems , 2016 .

[26]  Hongbin Sun,et al.  Interactions of district electricity and heating systems considering time-scale characteristics based on quasi-steady multi-energy flow , 2016 .

[27]  Qian Ai,et al.  Cooperative Economic Scheduling for Multiple Energy Hubs: A Bargaining Game Theoretic Perspective , 2018, IEEE Access.

[28]  Haibo He,et al.  A Novel Energy Function-Based Stability Evaluation and Nonlinear Control Approach for Energy Internet , 2017, IEEE Transactions on Smart Grid.

[29]  João P. S. Catalão,et al.  Aggregation of Distributed Energy Resources Under the Concept of Multienergy Players in Local Energy Systems , 2017, IEEE Transactions on Sustainable Energy.

[30]  Quanyan Zhu,et al.  A Game-Theoretic Framework for Resilient and Distributed Generation Control of Renewable Energies in Microgrids , 2016, IEEE Transactions on Smart Grid.

[31]  Wei Xing Zheng,et al.  Distributed $Q$ -Learning-Based Online Optimization Algorithm for Unit Commitment and Dispatch in Smart Grid , 2020, IEEE Transactions on Cybernetics.

[32]  Ali Ehsan,et al.  Optimal integration and planning of renewable distributed generation in the power distribution networks: A review of analytical techniques , 2018 .

[33]  Hamdi Abdi,et al.  A general model for energy hub economic dispatch , 2017 .

[34]  Linda Steg,et al.  What Drives Energy Consumers?: Engaging People in a Sustainable Energy Transition , 2018, IEEE Power and Energy Magazine.

[35]  Mohammad Taghi Ameli,et al.  Coordinated Operation of Natural Gas and Electricity Networks With Microgrid Aggregators , 2018, IEEE Transactions on Smart Grid.

[36]  Jianzhong Wu,et al.  Steady state analysis of gas networks with distributed injection of alternative gas , 2016 .

[37]  Zhen Shao,et al.  Energy Internet: The business perspective , 2016 .

[38]  Xifan Wang,et al.  An MILP-Based Optimal Power Flow in Multicarrier Energy Systems , 2017, IEEE Transactions on Sustainable Energy.

[39]  Shengran Chen,et al.  An Optimization Method for an Integrated Energy System Scheduling Process Based on NSGA-II Improved by Tent Mapping Chaotic Algorithms , 2020, Processes.

[40]  Chongqing Kang,et al.  Corrective receding horizon scheduling of flexible distributed multi-energy microgrids , 2017 .

[41]  S. S. Mortazavi,et al.  Stochastic effects of ice storage on improvement of an energy hub optimal operation including demand response and renewable energies , 2020 .

[42]  Ali Ehsan,et al.  A scenario‐based robust investment planning model for multi‐type distributed generation under uncertainties , 2018, IET Generation, Transmission & Distribution.

[43]  Tao Jiang,et al.  Security-constrained bi-level economic dispatch model for integrated natural gas and electricity systems considering wind power and power-to-gas process , 2017 .

[44]  Qiuye Sun,et al.  Optimal Economic Dispatch for Integrated Power and Heating Systems Considering Transmission Losses , 2019, Energies.

[45]  Ning Zhang,et al.  Automatic and linearized modeling of energy hub and its flexibility analysis , 2018 .

[46]  Yi Wang,et al.  Mixed-integer linear programming-based optimal configuration planning for energy hub: Starting from scratch , 2018 .

[47]  Adel Akbarimajd,et al.  Generalized modeling and optimal management of energy hub based electricity, heat and cooling demands , 2018, Energy.

[48]  Anna Wang,et al.  Coordinated Operation of Multi-Integrated Energy System Based on Linear Weighted Sum and Grasshopper Optimization Algorithm , 2018, IEEE Access.