Optimized power dispatch for solar photovoltaic-storage system with multiple buildings in bilateral contracts

Storage coupled solar photovoltaic systems have gained traction in recent years due to a) advancements in battery storage technologies and b) decreasing system costs. The viability and optimum operation of these systems is typically studied for building(s) in isolation or with grid interactions. In this paper a grid-interactive photovoltaic-storage system in a multi building scenario with net-metering is evaluated. A simulation model is developed for an interconnected multi building environment with a primary building owning the photovoltaic-battery system. The optimization model is formulated as a mixed integer linear programming problem and is solved in ILOG optimization studio with CPLEX solver. Multiple secondary buildings can procure power from the primary building based on suitable bilateral contracts. The applicability of the model is demonstrated through real-time load demand of three buildings along with actual time-of-use pricing data from the utility in the city of Auckland, New Zealand. The results provide an insight on the financial gains of installing rooftop photovoltaic-battery systems at buildings with power trading agreements under time-varying electricity tariffs. The detailed results from the model signify that primary building (with solar and storage) earns up to 43% of annual profits after incorporating installation costs of photovoltaic-battery system. Further, secondary buildings (without solar or storage) achieve 3–16% of savings in the electricity costs based on different contracted loads and agreement tariffs. This work can further enhance the utilization of solar energy resource via rooftop solar photovoltaic to help mitigate the per capita carbon dioxide emissions in countries with high dependency over fossil fuel for electricity generation.

[1]  Sungjin Lee,et al.  Joint Energy Management System of Electric Supply and Demand in Houses and Buildings , 2014, IEEE Transactions on Power Systems.

[2]  H. Khan,et al.  Performance comparison of CdTe thin film modules with c‐Si modules under low irradiance , 2019, IET Renewable Power Generation.

[3]  Genku Kayo,et al.  Renewable energy production support schemes for residential-scale solar photovoltaic systems in Nordic conditions , 2015 .

[4]  John P. Rice,et al.  Solar Feed-In Tariffs: Examining fair and reasonable retail rates using, cost avoidance estimates , 2018 .

[5]  Saad Pervaiz,et al.  Technological review on solar PV in Pakistan: Scope, practices and recommendations for optimized system design , 2013 .

[6]  Malcolm McCulloch,et al.  Levelized cost of electricity for solar photovoltaic and electrical energy storage , 2017 .

[7]  Joshua M. Pearce,et al.  A Review of Solar Photovoltaic Levelized Cost of Electricity , 2011 .

[8]  Dirk Uwe Sauer,et al.  Comparison of off-grid power supply systems using lead-acid and lithium-ion batteries , 2018 .

[9]  S. Tongsopit,et al.  The economics of solar PV self-consumption in Thailand , 2019, Renewable Energy.

[10]  Filip Johnsson,et al.  Solar photovoltaic-battery systems in Swedish households – Self-consumption and self-sufficiency , 2016 .

[11]  O. Babacan,et al.  Distributed energy storage system scheduling considering tariff structure, energy arbitrage and solar PV penetration , 2017 .

[12]  Amin Khodaei,et al.  Probabilistic optimal scheduling of networked microgrids considering time-based demand response programs under uncertainty , 2017 .

[13]  R. Margolis,et al.  Solar plus: Optimization of distributed solar PV through battery storage and dispatchable load in residential buildings , 2018 .

[14]  Yunjian Xu,et al.  Optimal operation of energy storage with random renewable generation and AC/DC loads , 2018, 2016 IEEE 55th Conference on Decision and Control (CDC).

[15]  Naveed Ul Hassan,et al.  Grid Load Reduction through Optimized PV Power Utilization in Intermittent Grids Using a Low-Cost Hardware Platform , 2019 .

[16]  Jan Carmeliet,et al.  Design of distributed energy systems under uncertainty: A two-stage stochastic programming approach , 2018, Applied Energy.

[17]  Bijaya Ketan Panigrahi,et al.  Robustly Coordinated Bi-Level Energy Management of a Multi-Energy Building Under Multiple Uncertainties , 2021, IEEE Transactions on Sustainable Energy.

[18]  Jibran R. Khan,et al.  Solar power technologies for sustainable electricity generation – A review , 2016 .

[19]  B. Numbi,et al.  Optimal energy cost and economic analysis of a residential grid-interactive solar PV system- case of eThekwini municipality in South Africa , 2017 .

[20]  N. Darghouth,et al.  Net metering and market feedback loops: Exploring the impact of retail rate design on distributed PV deployment , 2015 .

[21]  Nicholas Jenkins,et al.  Optimal battery storage operation for PV systems with tariff incentives , 2017 .

[22]  Paul Denholm,et al.  A model for evaluating the configuration and dispatch of PV plus battery power plants , 2020 .

[23]  Zhi Zhou,et al.  Energy Storage Arbitrage Under Day-Ahead and Real-Time Price Uncertainty , 2018, IEEE Transactions on Power Systems.

[24]  Peter Lund,et al.  Optimal and rule-based control strategies for energy flexibility in buildings with PV , 2016 .

[25]  G. Chicco,et al.  Net-Metering Benefits for Residential Customers: The Economic Advantages of a Proposed User-Centric Model in Italy , 2018, IEEE Industry Applications Magazine.

[26]  Olivier Deblecker,et al.  Optimal operation of an energy management system for a grid-connected smart building considering photovoltaics’ uncertainty and stochastic electric vehicles’ driving schedule , 2018 .

[27]  Yan Xu,et al.  Temporally-coordinated optimal operation of a multi-energy microgrid under diverse uncertainties , 2019, Applied Energy.

[28]  Carlos Henggeler Antunes,et al.  Stochastic optimization of trigeneration systems for decision-making under long-term uncertainty in energy demands and prices , 2019, Energy.

[29]  Mashood Nasir,et al.  String level optimisation on grid‐tied solar PV systems to reduce partial shading loss , 2018 .

[30]  Narayana Prasad Padhy,et al.  Residential electricity cost minimization model through open well-pico turbine pumped storage system , 2017 .

[31]  Orhan Ekren,et al.  Size optimization of a PV/wind hybrid energy conversion system with battery storage using simulated annealing , 2010 .

[32]  Chen-Yuan Chuang,et al.  Sizing the Battery Energy Storage System on a University Campus With Prediction of Load and Photovoltaic Generation , 2015, IEEE Transactions on Industry Applications.

[33]  Guohe Huang,et al.  Optimization of electric power systems with cost minimization and environmental-impact mitigation under multiple uncertainties , 2018, Applied Energy.

[34]  Kiran Siraj,et al.  DC distribution for residential power networks—A framework to analyze the impact of voltage levels on energy efficiency , 2020 .

[35]  Steven R. Weller,et al.  Scheduling residential battery storage with solar PV: Assessing the benefits of net metering , 2015 .

[36]  Wayes Tushar,et al.  Investigating the impact of P2P trading on power losses in grid-connected networks with prosumers , 2020 .

[37]  Mariesa L. Crow,et al.  Battery Energy Storage System (BESS) and Battery Management System (BMS) for Grid-Scale Applications , 2014, Proceedings of the IEEE.

[38]  P. Mago,et al.  Integrated photovoltaic and battery energy storage (PV-BES) systems: An analysis of existing financial incentive policies in the US , 2018 .