A Novel Ant Lion Optimization Algorithm for Planning and Operation of Local Energy System having Combined Heat and Power and Lithium Ion Battery Energy Storage

Energy systems are becoming localized, digitalized, and decarbonized. This is the era of smart local energy system (LES) having combined heat and power (CHP). In traditional CHPs the imbalance between energy generation and load demand results in improper utilization of energy and economic losses. This paper puts forward a planning and operation scheme of LES having CHP and Lithium-ion battery for energy storage. A novel Ant Lion Optimization (ALO) algorithm is applied for solving the planning and operation of LES. ALO is a novel nature inspired algorithm mimicking the process of hunting of ant lions. The great balance between exploitation and exploration in ALO is effectively utilized in solving the planning and operation of LES. Simulation results confirm the efficacy of ALO over other state of art algorithms.