This paper proposes a novel deep reinforcement learning(DRL)control strategy for an integrated offshore wind and photovoltaic(PV)power system for improving power generation efficiency while simultaneously damping osci...This paper proposes a novel deep reinforcement learning(DRL)control strategy for an integrated offshore wind and photovoltaic(PV)power system for improving power generation efficiency while simultaneously damping oscilla-tions.A variable-speed offshore wind turbine(OWT)with electrical torque control is used in the integrated offshore power system whose dynamic models are detailed.By considering the control system as a partially-observable Markov decision process,an actor-critic architecture model-free DRL algorithm,namely,deep deterministic policy gradient,is adopted and implemented to explore and learn the optimal multi-objective control policy.The potential and effectiveness of the integrated power system are evaluated.The results imply that an OWT can respond quickly to sudden changes of the inflow wind conditions to maximize total power generation.Significant oscillations in the overall power output can also be well suppressed by regulating the generator torque,which further indicates that complementary operation of offshore wind and PV power can be achieved.展开更多
文章对海上风电各国总体发展现状及未来发展趋势进行分析,表明各国都在加强对海上风电开发利用,但随着海上风电高速发展,有限的近海风电资源开发趋于饱和,深远海域风电成为海上风电未来发展的方向。然而水深离岸远,深远海风能开发困难,...文章对海上风电各国总体发展现状及未来发展趋势进行分析,表明各国都在加强对海上风电开发利用,但随着海上风电高速发展,有限的近海风电资源开发趋于饱和,深远海域风电成为海上风电未来发展的方向。然而水深离岸远,深远海风能开发困难,难于实现商业化。文章介绍了一种将新能源电力转换为其他能源载体的Power to X模式。氢作为1种可再生能源载体,可基于Power to X模式,通过将新能源电力电解水制氢的方式,有效降低深远海风电的成本。展开更多
文摘This paper proposes a novel deep reinforcement learning(DRL)control strategy for an integrated offshore wind and photovoltaic(PV)power system for improving power generation efficiency while simultaneously damping oscilla-tions.A variable-speed offshore wind turbine(OWT)with electrical torque control is used in the integrated offshore power system whose dynamic models are detailed.By considering the control system as a partially-observable Markov decision process,an actor-critic architecture model-free DRL algorithm,namely,deep deterministic policy gradient,is adopted and implemented to explore and learn the optimal multi-objective control policy.The potential and effectiveness of the integrated power system are evaluated.The results imply that an OWT can respond quickly to sudden changes of the inflow wind conditions to maximize total power generation.Significant oscillations in the overall power output can also be well suppressed by regulating the generator torque,which further indicates that complementary operation of offshore wind and PV power can be achieved.
文摘文章对海上风电各国总体发展现状及未来发展趋势进行分析,表明各国都在加强对海上风电开发利用,但随着海上风电高速发展,有限的近海风电资源开发趋于饱和,深远海域风电成为海上风电未来发展的方向。然而水深离岸远,深远海风能开发困难,难于实现商业化。文章介绍了一种将新能源电力转换为其他能源载体的Power to X模式。氢作为1种可再生能源载体,可基于Power to X模式,通过将新能源电力电解水制氢的方式,有效降低深远海风电的成本。
