With the large-scale grid integration of wind power, the inherent space-time characteristics of wind power and the transmission congestion seriously restrict the consumption of wind power and the development of demand. In order to improve the wind power accommodation and load acceptance level, the joint planning including the wind power installed capacity and location, the transmission network expansion, and energy storage system locating and sizing is considered. The generation-side operation process and the charging-discharging strategy of energy storage systems are also involved. The sourcenetwork-storage joint planning model is established with the goal of minimizing the cost of the transmission network expansion, the construction and operation of energy storage systems, the conventional units' operation, the wind curtailment, and the heavy-load penalty. Furthermore, the energy storage system planning & operation constraints, the heavy-load operation constraints and the quadratic generation cost function are linearized in the MILP model. Through the Wood&Wollenberg 6-bus system, the IEEE RTS-24 test system, and the modified IEEE 118-bus system as the test systems, the joint planning schemes under multiple scenarios are compared and analyzed. The results show that the proposed planning model can effectively improve the load acceptance capability and wind power integration level. INDEX TERMS Energy storage system, linear programming, transmission grid expansion planning, unit commitment, wind power integration.
With the development of new energy on a large scale, the application of power-to-gas (P2G) technology provides novel ideas for the consumption of renewable energy such as wind power. This paper proposes a nonlinear optimal model of wind power accommodation for an electricity-heat-gas integrated microgrid with P2G, taking the minimum operating cost, the minimum wind curtailment, and the minimum comprehensive cost as objectives. On the basis of meeting the demand for electricity, heat and gas loads, the security constraints of the electricity microgrid, and the gas network are considered in connection with the operating characteristics of the P2G devices. The optimization software GAMS is used to solve this model. Finally, the integrated system of a 14-bus microgrid and a modified 20-bus gas network is adopted for demonstrating the effectiveness of the application of the P2G to improve wind power accommodation capability.INDEX TERMS Microgrid, wind power accommodation, power to gas, electricity-heat-gas integrated energy.
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