Multi-Objective Optimal Day-Ahead Dispatching for Offshore Integrated Electricity and Natural Gas Energy System Considering Load Forecasting

Abstract

In order to ensure the stable economic operation of the offshore oilfield group system, day-ahead dispatching plan should be formulated. This paper seeks to minimize system operation cost and deviation in nodal voltage magnitudes and gas pressures, and a multi-objective optimal day-ahead dispatching model is established. Based on the constraints of offshore power grid and natural gas pipeline network, a short-term load forecasting model with interval time series auto-regressive integrated moving average method is built. The model focuses on gas turbine generators and P2G technology in the offshore integrated electricity and natural gas energy system. Then a modified particle swarm optimization algorithm is used to obtain the optimal solution for the multi-objective optimal day-ahead dispatching model. Finally, an offshore integrated electricity and natural gas energy subsystem of a certain offshore oilfield group platform in China is taken as an example to carry out simulation calculation and obtain a day-ahead dispatching plan. The results show that the method can realize the day-ahead optimization and dispatching of the offshore integrated electricity and natural gas energy system.