Two-level optimal dispatch of power system with photovoltaic power generation based on green certificate trading and generation rights trading

Key words:  photovoltaic power generation  green certificate trading  generation rights trading  unit commitment optimization  teaching-learning-based optimization

Abstract:

The power supply of oil field is mainly from its own off-gird thermoelectric power plant. With the access of large-scale photovoltaic power generation into oil field power grid, green certificate trading and generation rights trading usually lead to problems such as low revenue and green quota restrictions. A two-level optimization strategy, in which the oil field is at the first level and the local thermoelectric plant the second level, is proposed. Considering the revenue balance between the two levels, a game model of power supply for oilfield is established based on game theory between the thermoelectric plant and photovoltaic power producer. In view of the internal optimization problem of the thermoelectric plant, and taking into account the feasibility, technical and policy constraints, a optimization model for the thermoelectric plant unit output is established. Using the teaching and learning optimization algorithm to solve the model, game equilibrium solution between thermoelectric and photovoltaic, and optimal unit commitment of the thermoelectric plant can be achieved. The example analysis shows that the two-level optimal dispatch, which considers green certificate trading and power generation trading, balances the benefits of the thermoelectric and the photovoltaic plants, and improves the efficiency of the thermoelectric plant. Under the pressure of green quota, this also leads to significant reduction in government 's renewable energy subsidies, and improvement of overall social benefit.