Distributed Operation of CHP and Hybrid PV Using Consensus Protocol

In this article, cooperative consensus-based scheduling is proposed for a network consisting of hybrid photovoltaic (HPV), CHP (combined heat and power), and the utility grid. To improve the energy efficiency and economy of the network heat pump and CHP are used in the design. HPV and CHP are equipped with prosumer energy managers (PEM) and CEM (CHP energy manager). These managers communicate with each other to share information and find the optimal solution. The problem is modeled as social welfare maximization task for coupled heat and electric networks. A comprehensive case study is used to analyze the effectiveness of the proposed technique.

[1]  Lingling Fan,et al.  Consensus ADMM and Proximal ADMM for economic dispatch and AC OPF with SOCP relaxation , 2016, 2016 North American Power Symposium (NAPS).

[2]  Kenneth Bernard Karlsson,et al.  Residential heat pumps in the future Danish energy system , 2016 .

[3]  E. Radziemska.  The effect of temperature on the power drop in crystalline silicon solar cells , 2003 .

[4]  Nathan G. Johnson,et al.  Scalable multi-agent microgrid negotiations for a transactive energy market , 2018, Applied Energy.

[5]  Ram Rajagopal,et al.  Economic Benefits of Integrating Solar-Powered Heat Pumps Into a CHP System , 2018, IEEE Transactions on Sustainable Energy.

[6]  Mousa Marzband,et al.  A novel techno-economic multi-level optimization in home-microgrids with coalition formation capability , 2020, Sustainable Cities and Society.

[7]  Manijeh Alipour,et al.  Stochastic Scheduling of Renewable and CHP-Based Microgrids , 2015, IEEE Transactions on Industrial Informatics.

[8]  Nilay Shah,et al.  A MINLP multi-objective optimization model for operational planning of a case study CCHP system in urban China , 2018 .

[9]  Tin-Tai Chow,et al.  Hybrid photovoltaic and thermal solar-collector designed for natural circulation of water , 2006 .

[10]  Yuchen Jia,et al.  Joint Operation and Transaction Mode of Rural Multi Microgrid and Distribution Network , 2021, IEEE Access.

[11]  Eun Chul Kang,et al.  A study of photovoltaic/thermal (PVT)-ground source heat pump hybrid system by using fuzzy logic control , 2015 .

[12]  Bin-Juine Huang,et al.  PERFORMANCE EVALUATION OF SOLAR PHOTOVOLTAIC / THERMAL SYSTEMS , 2001 .

[13]  Lingfeng Wang,et al.  Multi-party energy management for smart building cluster with PV systems using automatic demand response , 2016 .

[14]  Nian LIU,et al.  Distributed energy management for interconnected operation of combined heat and power-based microgrids with demand response , 2017 .

[15]  G. Hug,et al.  Distributed robust economic dispatch in power systems: A consensus + innovations approach , 2012, 2012 IEEE Power and Energy Society General Meeting.

[16]  Abdullah Abusorrah,et al.  Optimal Interconnection Planning of Community Microgrids With Renewable Energy Sources , 2017, IEEE Transactions on Smart Grid.

[17]  Muhammad Awais,et al.  Consensus Based Distributed Solution of Economic Dispatch Problem for a Micro-Grid , 2018, 2018 2nd IEEE Conference on Energy Internet and Energy System Integration (EI2).

[18]  Mario Zanon,et al.  Day-Ahead Scheduling and Real-Time Economic MPC of CHP Unit in Microgrid With Smart Buildings , 2019, IEEE Transactions on Smart Grid.

[19]  Miao Li,et al.  Economic and environmental optimization for distributed energy resource systems coupled with district energy networks , 2016 .

[20]  Josep M. Guerrero,et al.  Microgrid Transactive Energy: Review, Architectures, Distributed Ledger Technologies, and Market Analysis , 2020, IEEE Access.

[21]  Hanchen Xu,et al.  The values of market-based demand response on improving power system reliability under extreme circumstances , 2017 .