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Reliability Enhanced Multi-objective Economic Dispatch Strategy for Hybrid Renewable Energy System with Storage

Journal of the Operations Research Society of China 2023年第1期11卷 51-81页

作者： Anongpun Man-Im weerakorn ongsakul Nimal Madhu Department of Energy Environment and Climate ChangeSchool of EnvironmentResources and DevelopmentAsian Institute of TechnologyKlong LuangPathumthani12120Thailand

An optimal dispatch strategy for the economic operation of hybrid renewable energy system with storage is presented in this paper. Solar photovoltaic (PV), Wind and Battery Storage are the prime components of interest constituting the hybrid system. In addition to the economic aspect of the systems, the formulation focuses on renewable prioritized operation, system reliability and environmental sustainability enhancement. Being a multi-objective (MO) problem, a modified non-dominated sorting particle swarm optimization is used for solving the problem, considering operational cost, pollutant emission, and expected energy not served as operational objectives. The non-dominated sorting particle swarm optimization (NSPSO) is augmented with crowding distance technique, stochastic weight trade-off and chaotic mutation approaches, to control the exploration of global and particle bests, alleviating premature convergence, and enhancing solution search capability. A two-stage approach is used to derive the best solution. A modified IEEE 30-bus test system is used to demonstrate the results. By using the proposed approach, a lower and wider Pareto front is obtained, in comparison with prominent optimization approaches.

关键词： Multi-objective economic dispatch Emission reduction Particle swarm optimization Hybrid energy system Expected energy not served Battery energy storage

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A novel inertia emulator to reduce the rate of change of frequency for power systems with solar PV and battery energy storage

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Clean Energy 2023年第4期7卷 873-884页

作者： R Raja Nivedha Jai Govind Singh weerakorn ongsakul Department of Energy Environment and Climate ChangeAsian Institute of TechnologyThailand

Energy access,climate change and public health issues are some major drivers for the need for renewable sources.However,most renewable sources,excluding large hydro,have zero or negligible rotational inertia,which is critical to stabilizing the power system after contingency.Therefore,this paper proposes a droop-based inertia emulator to reduce the rate of change of frequency and frequency deviations.The robustness of the controller is analysed by applying various uncertainties and disturbances of power system components that were carried out using DIgSILENT PowerFactory simulations.The obtained results are compared with existing literature and the desired performance shows an improvement in the rate of change of frequency of 34.78%for an IEEE 6-bus system,24.32%for a 12-bus system and 18%for a 39-bus system.

关键词： control of the rate of change of frequency low-inertia power system inertia emulator control rate of change of frequency impact of solar PV on frequency control impact of battery storage on inertia and frequency control

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人工智能在电力系统优化中的应用

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作者： (泰)威拉昆·昂撒考(weerakorn ongsakul) (越)天·语·屋(Dieu Ngoc Vo)

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